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omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/utils.py
import random import numpy as np from pxr import Gf, Semantics def add_semantics(prim, semantic_label, semantic_type="class"): if not prim.HasAPI(Semantics.SemanticsAPI): sem = Semantics.SemanticsAPI.Apply(prim, "Semantics") sem.CreateSemanticTypeAttr() sem.CreateSemanticDataAttr() sem.GetSemanticTypeAttr().Set(semantic_type) sem.GetSemanticDataAttr().Set(semantic_label) def get_random_transform(): camera_tf = np.eye(4) camera_tf[:3, :3] = Gf.Matrix3d(Gf.Rotation(np.random.rand(3).tolist(), np.random.rand(3).tolist())) camera_tf[3, :3] = np.random.rand(3).tolist() return Gf.Matrix4d(camera_tf)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/pipeline/test_renderproduct_camera.py
import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import omni.hydratexture import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the instance mapping pipeline class TestRenderProductCamera(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) def render_product_path(self, hydra_texture) -> str: '''Return a string to the UsdRender.Product used by the texture''' render_product = hydra_texture.get_render_product_path() if render_product and (not render_product.startswith('/')): render_product = '/Render/RenderProduct_' + render_product return render_product def register_test_rp_cam_pipeline(self): sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestSimRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, "omni.syntheticdata.SdTestRenderProductCamera", attributes={"inputs:stage":"simulation"} ), template_name="TestSimRpCam" ) if not sdg_iface.is_node_template_registered("TestPostRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, "omni.syntheticdata.SdTestRenderProductCamera", [SyntheticData.NodeConnectionTemplate("PostRenderProductCamera")], attributes={"inputs:stage":"postRender"} ), template_name="TestPostRpCam" ) if not sdg_iface.is_node_template_registered("TestOnDemandRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTestRenderProductCamera", [ SyntheticData.NodeConnectionTemplate("PostProcessRenderProductCamera"), SyntheticData.NodeConnectionTemplate( "PostProcessDispatch", attributes_mapping={"outputs:renderResults": "inputs:renderResults"}) ], attributes={"inputs:stage":"onDemand"} ), template_name="TestOnDemandRpCam" ) def activate_test_rp_cam_pipeline(self, test_case_index): sdg_iface = SyntheticData.Get() attributes = { "inputs:renderProductCameraPath": self._camera_path, "inputs:width": self._resolution[0], "inputs:height": self._resolution[1], "inputs:traceError": True } sdg_iface.activate_node_template("TestSimRpCam", 0, [self.render_product_path(self._hydra_texture_0)], attributes) sdg_iface.activate_node_template("TestPostRpCam", 0, [self.render_product_path(self._hydra_texture_0)], attributes) sdg_iface.activate_node_template("TestOnDemandRpCam", 0, [self.render_product_path(self._hydra_texture_0)],attributes) async def wait_for_num_frames(self, num_frames, max_num_frames=5000): self._hydra_texture_rendered_counter = 0 wait_frames_left = max_num_frames while (self._hydra_texture_rendered_counter < num_frames) and (wait_frames_left > 0): await omni.kit.app.get_app().next_update_async() wait_frames_left -= 1 async def setUp(self): self._settings = carb.settings.acquire_settings_interface() self._hydra_texture_factory = omni.hydratexture.acquire_hydra_texture_factory_interface() self._usd_context_name = '' self._usd_context = omni.usd.get_context(self._usd_context_name) await self._usd_context.new_stage_async() # camera self._camera_path = "/TestRPCamera" UsdGeom.Camera.Define(omni.usd.get_context().get_stage(), self._camera_path) self._resolution = [980,540] # renderer renderer = "rtx" if renderer not in self._usd_context.get_attached_hydra_engine_names(): omni.usd.add_hydra_engine(renderer, self._usd_context) # create the hydra textures self._hydra_texture_0 = self._hydra_texture_factory.create_hydra_texture( "TEX0", width=self._resolution[0], height=self._resolution[1], usd_context_name=self._usd_context_name, usd_camera_path=self._camera_path, hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) self._hydra_texture_rendered_counter = 0 def on_hydra_texture_0(event: carb.events.IEvent): self._hydra_texture_rendered_counter += 1 self._hydra_texture_rendered_counter_sub = self._hydra_texture_0.get_event_stream().create_subscription_to_push_by_type( omni.hydratexture.EVENT_TYPE_DRAWABLE_CHANGED, on_hydra_texture_0, name='async rendering test drawable update', ) self.register_test_rp_cam_pipeline() async def tearDown(self): self._hydra_texture_rendered_counter_sub = None self._hydra_texture_0 = None self._usd_context.close_stage() omni.usd.release_all_hydra_engines(self._usd_context) self._hydra_texture_factory = None self._settings = None wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_case_0(self): self.activate_test_rp_cam_pipeline(0) await self.wait_for_num_frames(33)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/pipeline/test_swh_frame_number.py
import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import omni.hydratexture import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the Fabric frame number synchronization class TestSWHFrameNumber(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) def render_product_path(self, hydra_texture) -> str: '''Return a string to the UsdRender.Product used by the texture''' render_product = hydra_texture.get_render_product_path() if render_product and (not render_product.startswith('/')): render_product = '/Render/RenderProduct_' + render_product return render_product async def wait_for_num_sims(self, num_sims, max_num_sims=5000): self._hydra_texture_rendered_counter = 0 wait_sims_left = max_num_sims while (self._hydra_texture_rendered_counter < num_sims) and (wait_sims_left > 0): await omni.kit.app.get_app().next_update_async() wait_sims_left -= 1 async def setUp(self): self._settings = carb.settings.acquire_settings_interface() self._hydra_texture_factory = omni.hydratexture.acquire_hydra_texture_factory_interface() self._usd_context_name = '' self._usd_context = omni.usd.get_context(self._usd_context_name) await self._usd_context.new_stage_async() # Setup the scene stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule0_prim = stage.DefinePrim("/World/Capsule0", "Capsule") UsdGeom.Xformable(capsule0_prim).AddTranslateOp().Set((100, 0, 0)) UsdGeom.Xformable(capsule0_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule0_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule0_prim.GetAttribute("primvars:displayColor").Set([(0.3, 1, 0)]) capsule1_prim = stage.DefinePrim("/World/Capsule1", "Capsule") UsdGeom.Xformable(capsule1_prim).AddTranslateOp().Set((-100, 0, 0)) UsdGeom.Xformable(capsule1_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule1_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule1_prim.GetAttribute("primvars:displayColor").Set([(0, 1, 0.3)]) spherelight = UsdLux.SphereLight.Define(stage, "/SphereLight") spherelight.GetIntensityAttr().Set(30000) spherelight.GetRadiusAttr().Set(30) camera_1 = stage.DefinePrim("/Camera1", "Camera") camera_1.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") UsdGeom.Xformable(camera_1).AddTranslateOp().Set((0, 250, 0)) UsdGeom.Xformable(camera_1).AddRotateXYZOp().Set((-90, 0, 0)) # renderer renderer = "rtx" if renderer not in self._usd_context.get_attached_hydra_engine_names(): omni.usd.add_hydra_engine(renderer, self._usd_context) # create the hydra textures self._hydra_texture_0 = self._hydra_texture_factory.create_hydra_texture( "TEX0", 1920, 1080, self._usd_context_name, hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) render_product_path_0 = self.render_product_path(self._hydra_texture_0) self._hydra_texture_rendered_counter = 0 def on_hydra_texture_0(event: carb.events.IEvent): self._hydra_texture_rendered_counter += 1 self._hydra_texture_rendered_counter_sub = self._hydra_texture_0.get_event_stream().create_subscription_to_push_by_type( omni.hydratexture.EVENT_TYPE_DRAWABLE_CHANGED, on_hydra_texture_0, name='async rendering test drawable update', ) self._hydra_texture_1 = self._hydra_texture_factory.create_hydra_texture( "TEX1", 512, 512, self._usd_context_name, str(camera_1.GetPath()), hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) render_product_path_1 = self.render_product_path(self._hydra_texture_1) # SyntheticData singleton interface sdg_iface = SyntheticData.Get() # Register node templates in the SyntheticData register # (a node template is a template for creating a node specified by its type and its connections) # # to illustrate we are using the generic omni.syntheticdata.SdTestStageSynchronization node type which supports every stage of the SyntheticData pipeline. When executed it logs the fabric frame number. # # register a node template in the simulation stage # NB : this node template has no connections if not sdg_iface.is_node_template_registered("TestSyncSim"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, # node tempalte stage "omni.syntheticdata.SdTestStageSynchronization", # node template type attributes={ "inputs:tag":"0", "inputs:randomSeed": 13, "inputs:randomMaxProcessingTimeUs": 33333, "inputs:traceError": True } ), # node template default attribute values (when differs from the default value specified in the .ogn) template_name="TestSyncSim" # node template name ) # register a node template in the postrender stage # NB : this template may be activated for several different renderproducts if not sdg_iface.is_node_template_registered("TestSyncPost"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncSim node (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("TestSyncSim", (), None), # connected to a LdrColorSD rendervar (the renderVar will be activated when activating this template) SyntheticData.NodeConnectionTemplate("LdrColorSD"), # connected to a BoundingBox3DSD rendervar (the renderVar will be activated when activating this template) SyntheticData.NodeConnectionTemplate("BoundingBox3DSD") ], attributes={ "inputs:randomSeed": 27, "inputs:randomMaxProcessingTimeUs": 33333, "inputs:traceError": True } ), template_name="TestSyncPost" # node template name ) # register a node template in the postprocess stage # NB : this template may be activated for several different renderproducts if not sdg_iface.is_node_template_registered("TestSyncOnDemand"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncSim node (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("TestSyncSim", (), None), # connected to a PostProcessDispatch node : the PostProcessDispatch node trigger the execution of its downstream connections for every rendered frame # (a PostProcessDispatch node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("PostProcessDispatch") ], attributes={ "inputs:randomSeed": 51, "inputs:randomMaxProcessingTimeUs": 33333, "inputs:traceError": True } # node template default attribute values (when differs from the default value specified in the .ogn) ), template_name="TestSyncOnDemand" # node template name ) # register a node template in the postprocess stage # NB : this template may be activated for any combination of renderproduct pairs if not sdg_iface.is_node_template_registered("TestSyncCross"): # register an accumulator which trigger once when all its upstream connections have triggered sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.graph.action.RationalTimeSyncGate", # node template type # node template connections [ # connected to the PostProcessDispatcher for the synchronization value SyntheticData.NodeConnectionTemplate( "PostProcessDispatcher", (), { "outputs:referenceTimeNumerator":"inputs:rationalTimeNumerator", "outputs:referenceTimeDenominator":"inputs:rationalTimeDenominator" } ), # connected to a TestSyncOnDemand node for the first renderproduct (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncOnDemand", (0,), {"outputs:exec":"inputs:execIn"} ), # connected to a TestSyncOnDemand node for the second renderproduct (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncOnDemand", (1,), {"outputs:exec":"inputs:execIn"} ), ] ), template_name="TestSyncAccum" # node template name ) sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncAccum node (a TestSyncAccum node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncAccum", (0,1), { "outputs:execOut":"inputs:exec", "outputs:rationalTimeNumerator":"inputs:swhFrameNumber" } ), SyntheticData.NodeConnectionTemplate( "PostProcessDispatch", (0,), {"outputs:renderResults":"inputs:renderResults"} ) ], attributes={ "inputs:randomSeed": 62, "inputs:randomMaxProcessingTimeUs": 33333, "inputs:traceError": True } ), template_name="TestSyncCross" # node template name ) # Activate the node templates for the renderproducts # this will create the node (and all their missing dependencies) within the associated graphs # # activate the TestSyncSim sdg_iface.activate_node_template("TestSyncSim") # wait for the next update to make sure the simulation node is activated when activating the post-render and post-process nodes # activate the TestSyncPost for the renderpoduct renderpoduct_0 # this will also activate the LdrColorSD and BoundingBox3DSD renderVars for the renderpoduct renderpoduct_0 # this will set the tag node attribute to "1" sdg_iface.activate_node_template("TestSyncPost", 0, [render_product_path_0],{"inputs:tag":"1"}) # activate the TestSyncPost for the renderpoduct renderpoduct_1 # this will also activate the LdrColorSD and BoundingBox3DSD renderVars for the renderpoduct renderpoduct_1 # NB TestSyncSim has already been activated # this will set the tag node attribute to "2" sdg_iface.activate_node_template("TestSyncPost", 0, [render_product_path_1],{"inputs:tag":"2"}) # FIXME : wait a couple of simulation updates as a workaround of an issue with the first # syncGate not being activated await self.wait_for_num_sims(3) # activate the TestSyncCross for the renderpoducts [renderproduct_0, renderproduct_1] # this will also activate : # - TestSyncAccum for the renderpoducts [renderproduct_0, renderproduct_1] # - PostProcessDispatch for the renderpoduct renderproduct_0 # - TestSyncOnDemand for the renderproduct renderproduct_0 # - TestSyncOnDemand for the renderproduct renderproduct_1 # - PostProcessDispatch for the renderpoduct renderproduct_1 # this will set the tag node attribute to "5" and processingTime to 30000 sdg_iface.activate_node_template("TestSyncCross", 0, [render_product_path_0,render_product_path_1],{"inputs:tag":"5"}) # Set some specific attributes to nodes that have been automatically activated # set the tag to the TestSyncOnDemand for renderproduct renderproduct_0 sdg_iface.set_node_attributes("TestSyncOnDemand",{"inputs:tag":"3"},render_product_path_0) # set the tag to the TestSyncOnDemand for renderproduct renderproduct_1 sdg_iface.set_node_attributes("TestSyncOnDemand",{"inputs:tag":"4"},render_product_path_1) # setup members self._num_sims = 555 async def tearDown(self): self._hydra_texture_rendered_counter_sub = None self._hydra_texture_0 = None self._hydra_texture_1 = None self._usd_context.close_stage() omni.usd.release_all_hydra_engines(self._usd_context) self._hydra_texture_factory = None self._settings = None wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_pipline(self): """ Test swh frame synhronization """ await self.wait_for_num_sims(self._num_sims)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/pipeline/test_instance_mapping.py
import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import omni.hydratexture import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the instance mapping pipeline class TestInstanceMapping(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) def render_product_path(self, hydra_texture) -> str: '''Return a string to the UsdRender.Product used by the texture''' render_product = hydra_texture.get_render_product_path() if render_product and (not render_product.startswith('/')): render_product = '/Render/RenderProduct_' + render_product return render_product def register_test_instance_mapping_pipeline(self): sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestSimSWHFrameNumber"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, "omni.syntheticdata.SdUpdateSwFrameNumber" ), template_name="TestSimSWHFrameNumber" ) if not sdg_iface.is_node_template_registered("TestSimInstanceMapping"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, "omni.syntheticdata.SdTestInstanceMapping", [ SyntheticData.NodeConnectionTemplate("TestSimSWHFrameNumber", ()) ], {"inputs:stage":"simulation"} ), template_name="TestSimInstanceMapping" ) if not sdg_iface.is_node_template_registered("TestOnDemandInstanceMapping"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTestInstanceMapping", [ SyntheticData.NodeConnectionTemplate("InstanceMappingPtrWithTransforms"), SyntheticData.NodeConnectionTemplate("TestSimInstanceMapping", (), attributes_mapping={"outputs:exec": "inputs:exec"}) ], {"inputs:stage":"ondemand"} ), template_name="TestOnDemandInstanceMapping" ) def activate_test_instance_mapping_pipeline(self, case_index): sdg_iface = SyntheticData.Get() sdg_iface.activate_node_template("TestSimInstanceMapping", attributes={"inputs:testCaseIndex":case_index}) sdg_iface.activate_node_template("TestOnDemandInstanceMapping", 0, [self.render_product_path(self._hydra_texture_0)], {"inputs:testCaseIndex":case_index}) sdg_iface.connect_node_template("TestSimInstanceMapping", "InstanceMappingPre", None, {"outputs:semanticFilterPredicate":"inputs:semanticFilterPredicate"}) async def wait_for_num_frames(self, num_frames, max_num_frames=5000): self._hydra_texture_rendered_counter = 0 wait_frames_left = max_num_frames while (self._hydra_texture_rendered_counter < num_frames) and (wait_frames_left > 0): await omni.kit.app.get_app().next_update_async() wait_frames_left -= 1 async def setUp(self): self._settings = carb.settings.acquire_settings_interface() self._hydra_texture_factory = omni.hydratexture.acquire_hydra_texture_factory_interface() self._usd_context_name = '' self._usd_context = omni.usd.get_context(self._usd_context_name) await self._usd_context.new_stage_async() # renderer renderer = "rtx" if renderer not in self._usd_context.get_attached_hydra_engine_names(): omni.usd.add_hydra_engine(renderer, self._usd_context) # create the hydra textures self._hydra_texture_0 = self._hydra_texture_factory.create_hydra_texture( "TEX0", 1920, 1080, self._usd_context_name, hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) self._hydra_texture_rendered_counter = 0 def on_hydra_texture_0(event: carb.events.IEvent): self._hydra_texture_rendered_counter += 1 self._hydra_texture_rendered_counter_sub = self._hydra_texture_0.get_event_stream().create_subscription_to_push_by_type( omni.hydratexture.EVENT_TYPE_DRAWABLE_CHANGED, on_hydra_texture_0, name='async rendering test drawable update', ) self.register_test_instance_mapping_pipeline() async def tearDown(self): self._hydra_texture_rendered_counter_sub = None self._hydra_texture_0 = None self._usd_context.close_stage() omni.usd.release_all_hydra_engines(self._usd_context) self._hydra_texture_factory = None self._settings = None wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_case_0(self): self.activate_test_instance_mapping_pipeline(0) await self.wait_for_num_frames(11) async def test_case_1(self): self.activate_test_instance_mapping_pipeline(1) await self.wait_for_num_frames(11) async def test_case_2(self): self.activate_test_instance_mapping_pipeline(2) await self.wait_for_num_frames(11) async def test_case_3(self): self.activate_test_instance_mapping_pipeline(3) await self.wait_for_num_frames(11) async def test_case_4(self): self.activate_test_instance_mapping_pipeline(4) await self.wait_for_num_frames(11) async def test_case_5(self): self.activate_test_instance_mapping_pipeline(5) await self.wait_for_num_frames(11) async def test_case_6(self): self.activate_test_instance_mapping_pipeline(6) await self.wait_for_num_frames(11)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/pipeline/test_instance_mapping_update.py
import carb import os.path from pxr import Gf, UsdGeom, UsdLux, Sdf import omni.hydratexture import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage from ..utils import add_semantics # Test the instance mapping update Fabric flag class TestInstanceMappingUpdate(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) # Dictionnary containing the pair (file_path , reference_data). If the reference data is None only the existence of the file is validated. self._golden_references = {} def _texture_render_product_path(self, hydra_texture) -> str: '''Return a string to the UsdRender.Product used by the texture''' render_product = hydra_texture.get_render_product_path() if render_product and (not render_product.startswith('/')): render_product = '/Render/RenderProduct_' + render_product return render_product def _assert_count_equal(self, counter_template_name, count): count_output = SyntheticData.Get().get_node_attributes( counter_template_name, ["outputs:count"], self._render_product_path ) assert "outputs:count" in count_output assert count_output["outputs:count"] == count def _activate_fabric_time_range(self) -> None: sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestSimFabricTimeRange"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTestSimFabricTimeRange" ), template_name="TestSimFabricTimeRange" ) sdg_iface.activate_node_template( "TestSimFabricTimeRange", attributes={"inputs:timeRangeName":"testFabricTimeRangeTrigger"} ) if not sdg_iface.is_node_template_registered("TestPostRenderFabricTimeRange"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, "omni.syntheticdata.SdFabricTimeRangeExecution", [ SyntheticData.NodeConnectionTemplate( SyntheticData.renderer_template_name(), attributes_mapping= { "outputs:rp": "inputs:renderResults", "outputs:gpu": "inputs:gpu" } ) ] ), template_name="TestPostRenderFabricTimeRange" ) sdg_iface.activate_node_template( "TestPostRenderFabricTimeRange", 0, [self._render_product_path], attributes={"inputs:timeRangeName":"testFabricTimeRangeTrigger"} ) if not sdg_iface.is_node_template_registered("TestPostProcessFabricTimeRange"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdFabricTimeRangeExecution", [ SyntheticData.NodeConnectionTemplate("PostProcessDispatch"), SyntheticData.NodeConnectionTemplate("TestPostRenderFabricTimeRange") ] ), template_name="TestPostProcessFabricTimeRange" ) sdg_iface.activate_node_template( "TestPostProcessFabricTimeRange", 0, [self._render_product_path], attributes={"inputs:timeRangeName":"testFabricTimeRangeTrigger"} ) if not sdg_iface.is_node_template_registered("TestPostProcessFabricTimeRangeCounter"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.graph.action.Counter", [ SyntheticData.NodeConnectionTemplate( "TestPostProcessFabricTimeRange", attributes_mapping={"outputs:exec": "inputs:execIn"} ) ] ), template_name="TestPostProcessFabricTimeRangeCounter" ) sdg_iface.activate_node_template( "TestPostProcessFabricTimeRangeCounter", 0, [self._render_product_path] ) def _activate_instance_mapping_update(self) -> None: sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestPostProcessInstanceMappingUpdate"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTimeChangeExecution", [ SyntheticData.NodeConnectionTemplate("InstanceMappingPtr"), SyntheticData.NodeConnectionTemplate("PostProcessDispatch") ] ), template_name="TestPostProcessInstanceMappingUpdate" ) if not sdg_iface.is_node_template_registered("TestPostProcessInstanceMappingUpdateCounter"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.graph.action.Counter", [ SyntheticData.NodeConnectionTemplate( "TestPostProcessInstanceMappingUpdate", attributes_mapping={"outputs:exec": "inputs:execIn"} ) ] ), template_name="TestPostProcessInstanceMappingUpdateCounter" ) sdg_iface.activate_node_template( "TestPostProcessInstanceMappingUpdateCounter", 0, [self._render_product_path] ) async def _request_fabric_time_range_trigger(self, number_of_frames=1): sdg_iface = SyntheticData.Get() sdg_iface.set_node_attributes("TestSimFabricTimeRange",{"inputs:numberOfFrames":number_of_frames}) sdg_iface.request_node_execution("TestSimFabricTimeRange") await omni.kit.app.get_app().next_update_async() async def setUp(self): """Called at the begining of every tests""" self._settings = carb.settings.acquire_settings_interface() self._hydra_texture_factory = omni.hydratexture.acquire_hydra_texture_factory_interface() self._usd_context_name = '' self._usd_context = omni.usd.get_context(self._usd_context_name) await self._usd_context.new_stage_async() # renderer renderer = "rtx" if renderer not in self._usd_context.get_attached_hydra_engine_names(): omni.usd.add_hydra_engine(renderer, self._usd_context) # create the hydra textures self._hydra_texture_0 = self._hydra_texture_factory.create_hydra_texture( "TEX0", 1920, 1080, self._usd_context_name, hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) self._hydra_texture_rendered_counter = 0 def on_hydra_texture_0(event: carb.events.IEvent): self._hydra_texture_rendered_counter += 1 self._hydra_texture_rendered_counter_sub = self._hydra_texture_0.get_event_stream().create_subscription_to_push_by_type( omni.hydratexture.EVENT_TYPE_DRAWABLE_CHANGED, on_hydra_texture_0, name='async rendering test drawable update', ) stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) self._render_product_path = self._texture_render_product_path(self._hydra_texture_0) await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path) await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path) async def tearDown(self): """Called at the end of every tests""" self._hydra_texture_rendered_counter_sub = None self._hydra_texture_0 = None self._usd_context.close_stage() omni.usd.release_all_hydra_engines(self._usd_context) self._hydra_texture_factory = None self._settings = None wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_case_0(self): """Test case 0 : no time range""" self._activate_fabric_time_range() await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 11) self._assert_count_equal("TestPostProcessFabricTimeRangeCounter", 0) async def test_case_1(self): """Test case 1 : setup a time range of 5 frames""" self._activate_fabric_time_range() await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path) await self._request_fabric_time_range_trigger(5) await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 11) self._assert_count_equal("TestPostProcessFabricTimeRangeCounter", 5) async def test_case_2(self): """Test case 2 : initial instance mapping setup""" self._activate_instance_mapping_update() await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 11) self._assert_count_equal("TestPostProcessInstanceMappingUpdateCounter", 1) async def test_case_3(self): """Test case 3 : setup an instance mapping with 1, 2, 3, 4 changes""" stage = omni.usd.get_context().get_stage() self._activate_instance_mapping_update() await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 1) self._assert_count_equal("TestPostProcessInstanceMappingUpdateCounter", 1) sphere_prim = stage.DefinePrim("/World/Sphere", "Sphere") add_semantics(sphere_prim, "sphere") await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 3) self._assert_count_equal("TestPostProcessInstanceMappingUpdateCounter", 2) sub_sphere_prim = stage.DefinePrim("/World/Sphere/Sphere", "Sphere") await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 5) self._assert_count_equal("TestPostProcessInstanceMappingUpdateCounter", 3) add_semantics(sub_sphere_prim, "sphere") await omni.syntheticdata.sensors.next_render_simulation_async(self._render_product_path, 1) self._assert_count_equal("TestPostProcessInstanceMappingUpdateCounter", 4)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_motion_vector.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from PIL import Image from time import time from pathlib import Path import carb import numpy as np from numpy.lib.arraysetops import unique import unittest import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestMotionVector(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" self.output_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "output" def writeDataToImage(self, data, name): if not os.path.isdir(self.output_image_path): os.mkdir(self.output_image_path) data = ((data + 1.0) / 2) * 255 outputPath = str(self.output_image_path) + "/" + name + ".png" print("Writing data to " + outputPath) Image.fromarray(data.astype(np.uint8), "RGBA").save(outputPath) # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.MotionVector) async def test_empty(self): """ Test motion vector sensor on empty stage. """ await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_motion_vector(self.viewport) allChannelsAreZero = np.allclose(data, 0, atol=0.001) if not allChannelsAreZero: self.writeDataToImage(data, "test_empty") assert allChannelsAreZero async def test_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_motion_vector(self.viewport) assert data.dtype == np.float32 async def test_unmoving_cube(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) cube.GetAttribute("primvars:displayColor").Set([(0, 0, 1)]) UsdGeom.Xformable(cube).AddTranslateOp() cube.GetAttribute("xformOp:translate").Set((350, 365, 350), time=0) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_motion_vector(self.viewport) # 4th channel will wary based on geo hit, so we ignore checking it here rgbChannelsAreZero = np.allclose(data[:, [0, 1, 2]], 0, atol=0.001) if not rgbChannelsAreZero: self.writeDataToImage(data, "test_unmoving_cube") assert rgbChannelsAreZero @unittest.skip("OM-44310") async def test_partially_disoccluding_cube(self): # disabling temporarly the test for OMNI-GRAPH support : OM-44310 stage = omni.usd.get_context().get_stage() stage.SetStartTimeCode(0) stage.SetEndTimeCode(100) cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(10) cube.GetAttribute("primvars:displayColor").Set([(0, 0, 1)]) # add translation down to create disocclusion due to fetching from out of screen bounds UsdGeom.Xformable(cube).AddTranslateOp() cube.GetAttribute("xformOp:translate").Set((480, 487, 480), time=0) cube.GetAttribute("xformOp:translate").Set((480, 480, 480), time=0.001) # add rotation around up vector to create disocclusion due to fetching from an incompatible surface UsdGeom.Xformable(cube).AddRotateYOp() cube.GetAttribute("xformOp:rotateY").Set(40, time=0) cube.GetAttribute("xformOp:rotateY").Set(70, time=0.001) await omni.kit.app.get_app().next_update_async() # Render one frame itl = omni.timeline.get_timeline_interface() itl.play() await syn.sensors.next_sensor_data_async(self.viewport, True) data = syn.sensors.get_motion_vector(self.viewport) golden_image = np.load(self.golden_image_path / "motion_partially_disoccluding_cube.npz")["array"] # normalize xy (mvec) to zw channels' value range # x100 seems like a good number to bring mvecs to ~1 data[:, [0, 1]] *= 100 golden_image[:, [0, 1]] *= 100 std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) # OM-41605 - using higher std dev here to make linux run succeed std_dev_tolerance = 0.12 print("Calculated std.dev: " + str(std_dev), " Std dev tolerance: " + str(std_dev_tolerance)) if std_dev >= std_dev_tolerance: self.writeDataToImage(golden_image, "test_partially_disoccluding_cube_golden") self.writeDataToImage(data, "test_partially_disoccluding_cube") np.savez_compressed(self.output_image_path / "motion_partially_disoccluding_cube.npz", array=data) assert std_dev < std_dev_tolerance # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_occlusion.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math from time import time from pathlib import Path import carb import numpy as np import unittest import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestOcclusion(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Before running each test async def setUp(self): await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() self.viewport = get_active_viewport() # Initialize Sensors syn.sensors.enable_sensors( self.viewport, [ syn._syntheticdata.SensorType.BoundingBox2DLoose, syn._syntheticdata.SensorType.BoundingBox2DTight, syn._syntheticdata.SensorType.Occlusion, ], ) await syn.sensors.next_sensor_data_async(self.viewport,True) async def test_fields_exist(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_occlusion(self.viewport) valid_dtype = [("instanceId", "<u4"), ("semanticId", "<u4"), ("occlusionRatio", "<f4")] assert data.dtype == np.dtype(valid_dtype) async def test_fields_exist_parsed(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_occlusion(self.viewport, parsed=True) valid_dtype = [ ("uniqueId", "<i4"), ("name", "O"), ("semanticLabel", "O"), ("metadata", "O"), ("instanceIds", "O"), ("semanticId", "<u4"), ("occlusionRatio", "<f4"), ] assert data.dtype == np.dtype(valid_dtype) async def test_occlusion(self): path = os.path.join(FILE_DIR, "../data/scenes/occlusion.usda") await omni.usd.get_context().open_stage_async(path) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) occlusion_out = syn.sensors.get_occlusion(self.viewport, parsed=True) for row in occlusion_out: gt = float(row["semanticLabel"]) / 100.0 assert math.isclose(gt, row["occlusionRatio"], abs_tol=0.015), f"Expected {gt}, got {row['occlusionRatio']}" async def test_self_occlusion(self): path = os.path.join(FILE_DIR, "../data/scenes/torus_sphere.usda") await omni.usd.get_context().open_stage_async(path) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) occlusion_out = syn.sensors.get_occlusion(self.viewport) occlusion_out_ratios = np.sort(occlusion_out["occlusionRatio"]) assert np.allclose(occlusion_out_ratios, [0.0, 0.6709], atol=0.05) async def test_full_occlusion(self): path = os.path.join(FILE_DIR, "../data/scenes/cube_full_occlusion.usda") await omni.usd.get_context().open_stage_async(path) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) occlusion_out = syn.sensors.get_occlusion(self.viewport) occlusion_out_ratios = np.sort(occlusion_out["occlusionRatio"]) assert np.allclose(occlusion_out_ratios, [0.0, 1.0], atol=0.05) async def test_occlusion_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) path = os.path.join(FILE_DIR, "../data/scenes/occlusion.usda") await omni.usd.get_context().open_stage_async(path) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) occlusion_out = syn.sensors.get_occlusion(self.viewport, parsed=True) for row in occlusion_out: gt = float(row["semanticLabel"]) / 100.0 assert math.isclose(gt, row["occlusionRatio"], abs_tol=0.015), f"Expected {gt}, got {row['occlusionRatio']}" async def test_occlusion_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") path = os.path.join(FILE_DIR, "../data/scenes/occlusion.usda") await omni.usd.get_context().open_stage_async(path) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) occlusion_out = syn.sensors.get_occlusion(self.viewport, parsed=True) for row in occlusion_out: gt = float(row["semanticLabel"]) / 100.0 assert math.isclose(gt, row["occlusionRatio"], abs_tol=0.015), f"Expected {gt}, got {row['occlusionRatio']}" async def test_occlusion_ftheta(self): """ Basic funtionality test of the sensor under ftheta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) path = os.path.join(FILE_DIR, "../data/scenes/occlusion.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 200, 300)) self.viewport.camera_path = camera.GetPath() syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) # Camera type should not affect occlusion. occlusion_out = syn.sensors.get_occlusion(self.viewport, parsed=True) data = np.array([row['occlusionRatio'] for row in occlusion_out]) # np.savez_compressed(self.golden_image_path / 'occlusion_ftheta.npz', array=data) golden = np.load(self.golden_image_path / "occlusion_ftheta.npz")["array"] assert np.isclose(data, golden, atol=1e-3).all() async def test_occlusion_spherical(self): """ Basic funtionality test of the sensor under spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) path = os.path.join(FILE_DIR, "../data/scenes/occlusion.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 200, 300)) self.viewport.camera_path = camera.GetPath() syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) await syn.sensors.next_sensor_data_async(self.viewport,True) # Camera type should not affect occlusion. occlusion_out = syn.sensors.get_occlusion(self.viewport, parsed=True) data = np.array([row['occlusionRatio'] for row in occlusion_out]) # np.savez_compressed(self.golden_image_path / 'occlusion_spherical.npz', array=data) golden = np.load(self.golden_image_path / "occlusion_spherical.npz")["array"] assert np.isclose(data, golden, atol=1e-1).all() @unittest.skip("OM-44310") async def test_occlusion_quadrant(self): # disabling temporarly the test for OMNI-GRAPH support : OM-44310 # Test quadrant sensor. It takes loose and tight bounding boxes to # return the type of occlusion # Expected occlusion value for time=1, 2, 3... TESTS = [ "fully-occluded", "left", "right", "bottom", "top", "fully-visible", # corner occlusion "fully-visible", # corner occlusion "bottom-right", "bottom-left", "top-right", "top-left", "fully-visible", ] path = os.path.join(FILE_DIR, "../data/scenes/occlusion_quadrant.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() syn.sensors.enable_sensors( self.viewport, [ syn._syntheticdata.SensorType.BoundingBox2DLoose, syn._syntheticdata.SensorType.BoundingBox2DTight, syn._syntheticdata.SensorType.Occlusion, ], ) await syn.sensors.next_sensor_data_async(self.viewport,True) timeline_iface = omni.timeline.get_timeline_interface() timeline_iface.set_time_codes_per_second(1) for time, gt in enumerate(TESTS): timeline_iface.set_current_time(time) await omni.kit.app.get_app().next_update_async() # Investigate these in OM-31155 sensor_out = syn.sensors.get_occlusion_quadrant(self.viewport) result = sensor_out["occlusion_quadrant"][0] assert result == gt, f"Got {result}, expected {gt}" # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_renderproduct_camera.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import carb from pxr import Gf, UsdGeom, Sdf, UsdLux from omni.kit.viewport.utility import get_active_viewport, create_viewport_window import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the RenderProductCamera nodes class TestRenderProductCamera(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) self.numLoops = 7 self.multiViewport = False # Setup the scene await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() # Setup viewports / renderproduct # first default viewport with the default perspective camera viewport_0 = get_active_viewport() resolution_0 = viewport_0.resolution camera_0 = UsdGeom.Camera.Define(stage, "/Camera0").GetPrim() viewport_0.camera_path = camera_0.GetPath() render_product_path_0 = viewport_0.render_product_path self.render_product_path_0 = render_product_path_0 # second viewport with a ftheta camera if self.multiViewport: resolution_1 = (512, 512) viewport_window = create_viewport_window(width=resolution_1[0], height=resolution_1[1]) viewport_1 = viewport_window.viewport_api viewport_1.resolution = resolution_1 camera_1 = UsdGeom.Camera.Define(stage, "/Camera1").GetPrim() viewport_1.camera_path = camera_1.GetPath() render_product_path_1 = viewport_1.render_product_path self.render_product_path_1 = render_product_path_1 # SyntheticData singleton interface sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestSimRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, "omni.syntheticdata.SdTestRenderProductCamera", attributes={"inputs:stage":"simulation"} ), template_name="TestSimRpCam" ) if not sdg_iface.is_node_template_registered("TestPostRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, "omni.syntheticdata.SdTestRenderProductCamera", [SyntheticData.NodeConnectionTemplate("PostRenderProductCamera")], attributes={"inputs:stage":"postRender"} ), template_name="TestPostRpCam" ) if not sdg_iface.is_node_template_registered("TestOnDemandRpCam"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTestRenderProductCamera", [ SyntheticData.NodeConnectionTemplate("PostProcessRenderProductCamera"), SyntheticData.NodeConnectionTemplate( "PostProcessDispatch", attributes_mapping={"outputs:renderResults": "inputs:renderResults"}) ], attributes={"inputs:stage":"onDemand"} ), template_name="TestOnDemandRpCam" ) attributes_0 = { "inputs:renderProductCameraPath":camera_0.GetPath().pathString, "inputs:width":resolution_0[0], "inputs:height":resolution_0[1] } sdg_iface.activate_node_template("TestSimRpCam", 0, [render_product_path_0], attributes_0) sdg_iface.activate_node_template("TestPostRpCam", 0, [render_product_path_0], attributes_0) sdg_iface.activate_node_template("TestOnDemandRpCam", 0, [render_product_path_0],attributes_0) if self.multiViewport: attributes_1 = { "inputs:renderProductCameraPath":camera_1.GetPath().pathString, "inputs:width":resolution_1[0], "inputs:height":resolution_1[1] } sdg_iface.activate_node_template("TestSimRpCam", 0, [render_product_path_1], attributes_1) sdg_iface.activate_node_template("TestPostRpCam", 0, [render_product_path_1], attributes_1) sdg_iface.activate_node_template("TestOnDemandRpCam", 0, [render_product_path_1],attributes_1) async def test_renderproduct_camera(self): """ Test render product camera pipeline """ sdg_iface = SyntheticData.Get() test_outname = "outputs:test" test_attributes_names = [test_outname] for _ in range(3): await omni.kit.app.get_app().next_update_async() for _ in range(self.numLoops): await omni.kit.app.get_app().next_update_async() assert sdg_iface.get_node_attributes("TestSimRpCam", test_attributes_names, self.render_product_path_0)[test_outname] assert sdg_iface.get_node_attributes("TestPostRpCam", test_attributes_names, self.render_product_path_0)[test_outname] assert sdg_iface.get_node_attributes("TestOnDemandRpCam", test_attributes_names, self.render_product_path_0)[test_outname] if self.multiViewport: assert sdg_iface.get_node_attributes("TestSimRpCam", test_attributes_names, self.render_product_path_1)[test_outname] assert sdg_iface.get_node_attributes("TestPostRpCam", test_attributes_names, self.render_product_path_1)[test_outname] assert sdg_iface.get_node_attributes("TestOnDemandRpCam", test_attributes_names, self.render_product_path_1)[test_outname] async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_swh_frame_number.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import unittest import omni.kit.test from omni.kit.viewport.utility import get_active_viewport, create_viewport_window from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the Fabric frame number synchronization class TestSWHFrameNumber(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) # Setup the scene await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule0_prim = stage.DefinePrim("/World/Capsule0", "Capsule") UsdGeom.Xformable(capsule0_prim).AddTranslateOp().Set((100, 0, 0)) UsdGeom.Xformable(capsule0_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule0_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule0_prim.GetAttribute("primvars:displayColor").Set([(0.3, 1, 0)]) capsule1_prim = stage.DefinePrim("/World/Capsule1", "Capsule") UsdGeom.Xformable(capsule1_prim).AddTranslateOp().Set((-100, 0, 0)) UsdGeom.Xformable(capsule1_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule1_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule1_prim.GetAttribute("primvars:displayColor").Set([(0, 1, 0.3)]) spherelight = UsdLux.SphereLight.Define(stage, "/SphereLight") spherelight.GetIntensityAttr().Set(30000) spherelight.GetRadiusAttr().Set(30) # first default viewport with the default perspective camera viewport_0 = get_active_viewport() render_product_path_0 = viewport_0.render_product_path # second viewport with a ftheta camera viewport_1_window = create_viewport_window(width=512, height=512) viewport_1 = viewport_1_window.viewport_api camera_1 = stage.DefinePrim("/Camera1", "Camera") camera_1.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") UsdGeom.Xformable(camera_1).AddTranslateOp().Set((0, 250, 0)) UsdGeom.Xformable(camera_1).AddRotateXYZOp().Set((-90, 0, 0)) viewport_1.camera_path = camera_1.GetPath() render_product_path_1 = viewport_1.render_product_path # SyntheticData singleton interface sdg_iface = SyntheticData.Get() # Register node templates in the SyntheticData register # (a node template is a template for creating a node specified by its type and its connections) # # to illustrate we are using the generic omni.syntheticdata.SdTestStageSynchronization node type which supports every stage of the SyntheticData pipeline. When executed it logs the fabric frame number. # # register a node template in the simulation stage # NB : this node template has no connections if not sdg_iface.is_node_template_registered("TestSyncSim"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, # node tempalte stage "omni.syntheticdata.SdTestStageSynchronization", # node template type attributes={"inputs:tag":"0"}), # node template default attribute values (when differs from the default value specified in the .ogn) template_name="TestSyncSim" # node template name ) # register a node template in the postrender stage # NB : this template may be activated for several different renderproducts if not sdg_iface.is_node_template_registered("TestSyncPost"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncSim node (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("TestSyncSim", (), None), # connected to a LdrColorSD rendervar (the renderVar will be activated when activating this template) SyntheticData.NodeConnectionTemplate("LdrColorSD"), # connected to a BoundingBox3DSD rendervar (the renderVar will be activated when activating this template) SyntheticData.NodeConnectionTemplate("BoundingBox3DSD") ]), template_name="TestSyncPost" # node template name ) # register a node template in the postprocess stage # NB : this template may be activated for several different renderproducts if not sdg_iface.is_node_template_registered("TestSyncOnDemand"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncSim node (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("TestSyncSim", (), None), # connected to a PostProcessDispatch node : the PostProcessDispatch node trigger the execution of its downstream connections for every rendered frame # (a PostProcessDispatch node will be activated when activating this template) SyntheticData.NodeConnectionTemplate("PostProcessDispatch") ] ), template_name="TestSyncOnDemand" # node template name ) # register a node template in the postprocess stage # NB : this template may be activated for any combination of renderproduct pairs if not sdg_iface.is_node_template_registered("TestSyncCross"): # register an accumulator which trigger once when all its upstream connections have triggered sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.graph.action.RationalTimeSyncGate", # node template type # node template connections [ # connected to the PostProcessDispatcher for the synchronization value SyntheticData.NodeConnectionTemplate( "PostProcessDispatcher", (), { "outputs:referenceTimeNumerator":"inputs:rationalTimeNumerator", "outputs:referenceTimeDenominator":"inputs:rationalTimeDenominator" } ), # connected to a TestSyncOnDemand node for the first renderproduct (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncOnDemand", (0,), {"outputs:exec":"inputs:execIn"} ), # connected to a TestSyncOnDemand node for the second renderproduct (a TestSyncSim node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncOnDemand", (1,), {"outputs:exec":"inputs:execIn"} ), ] ), template_name="TestSyncAccum" # node template name ) sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node template stage "omni.syntheticdata.SdTestStageSynchronization", # node template type # node template connections [ # connected to a TestSyncAccum node (a TestSyncAccum node will be activated when activating this template) SyntheticData.NodeConnectionTemplate( "TestSyncAccum", (0,1), { "outputs:execOut":"inputs:exec", "outputs:rationalTimeNumerator":"inputs:swhFrameNumber" } ), SyntheticData.NodeConnectionTemplate( "PostProcessDispatch", (0,), {"outputs:renderResults":"inputs:renderResults"} ) ] ), template_name="TestSyncCross" # node template name ) # Activate the node templates for the renderproducts # this will create the node (and all their missing dependencies) within the associated graphs # # activate the TestSyncPost for the renderpoduct renderpoduct_0 # this will also activate the TestSyncSim node and the LdrColorSD and BoundingBox3DSD renderVars for the renderpoduct renderpoduct_0 # this will set the tag node attribute to "1" sdg_iface.activate_node_template("TestSyncPost", 0, [render_product_path_0],{"inputs:tag":"1"}) # activate the TestSyncPost for the renderpoduct renderpoduct_1 # this will also activate the LdrColorSD and BoundingBox3DSD renderVars for the renderpoduct renderpoduct_1 # NB TestSyncSim has already been activated # this will set the tag node attribute to "2" sdg_iface.activate_node_template("TestSyncPost", 0, [render_product_path_1],{"inputs:tag":"2"}) # activate the TestSyncCross for the renderpoducts [renderproduct_0, renderproduct_1] # this will also activate : # - TestSyncAccum for the renderpoducts [renderproduct_0, renderproduct_1] # - PostProcessDispatch for the renderpoduct renderproduct_0 # - TestSyncOnDemand for the renderproduct renderproduct_0 # - TestSyncOnDemand for the renderproduct renderproduct_1 # - PostProcessDispatch for the renderpoduct renderproduct_1 # this will set the tag node attribute to "5" sdg_iface.activate_node_template("TestSyncCross", 0, [render_product_path_0,render_product_path_1],{"inputs:tag":"5"}) # Set some specific attributes to nodes that have been automatically activated # set the tag to the TestSyncOnDemand for renderproduct renderproduct_0 sdg_iface.set_node_attributes("TestSyncOnDemand",{"inputs:tag":"3"},render_product_path_0) # set the tag to the TestSyncOnDemand for renderproduct renderproduct_1 sdg_iface.set_node_attributes("TestSyncOnDemand",{"inputs:tag":"4"},render_product_path_1) # setup members self.render_product_path_0 = render_product_path_0 self.render_product_path_1 = render_product_path_1 self.numLoops = 33 async def run_loop(self): sdg_iface = SyntheticData.Get() render_product_path_0 = self.render_product_path_0 render_product_path_1 = self.render_product_path_1 test_attributes_names = ["outputs:swhFrameNumber","outputs:fabricSWHFrameNumber"] # ensuring that the setup is taken into account for _ in range(5): await omni.kit.app.get_app().next_update_async() for _ in range(self.numLoops): await omni.kit.app.get_app().next_update_async() # test the post-render pipeline synchronization sync_post_attributes = sdg_iface.get_node_attributes( "TestSyncPost",test_attributes_names,render_product_path_0) assert sync_post_attributes and all(attr in sync_post_attributes for attr in test_attributes_names) assert sync_post_attributes["outputs:swhFrameNumber"] == sync_post_attributes["outputs:fabricSWHFrameNumber"] # test the on-demand pipeline synchronization sync_ondemand_attributes = sdg_iface.get_node_attributes( "TestSyncOnDemand",test_attributes_names,render_product_path_1) assert sync_ondemand_attributes and all(attr in sync_ondemand_attributes for attr in test_attributes_names) assert sync_ondemand_attributes["outputs:swhFrameNumber"] == sync_ondemand_attributes["outputs:fabricSWHFrameNumber"] # test the on-demand cross renderproduct synchronization sync_cross_ondemand_attributes = sdg_iface.get_node_attributes( "TestSyncCross",test_attributes_names,render_product_path_0) assert sync_cross_ondemand_attributes and all(attr in sync_cross_ondemand_attributes for attr in test_attributes_names) assert sync_cross_ondemand_attributes["outputs:swhFrameNumber"] == sync_cross_ondemand_attributes["outputs:fabricSWHFrameNumber"] async def test_sync_idle(self): """ Test swh frame synhronization with : - asyncRendering Off - waitIdle On """ settings = carb.settings.get_settings() settings.set_bool("/app/asyncRendering",False) settings.set_int("/app/settings/fabricDefaultStageFrameHistoryCount",3) settings.set_bool("/app/hydraEngine/waitIdle",True) await self.run_loop() @unittest.skip("DRIVE-3247 : SyntheticData does not support async rendering.") async def test_sync(self): """ Test swh frame synhronization with : - asyncRendering Off - waitIdle Off """ settings = carb.settings.get_settings() settings.set_bool("/app/asyncRendering",False) settings.set_int("/app/settings/fabricDefaultStageFrameHistoryCount",3) settings.set_bool("/app/hydraEngine/waitIdle",False) await self.run_loop() @unittest.skip("DRIVE-3247 : SyntheticData does not support async rendering.") async def test_async(self): """ Test swh frame synhronization with : - asyncRendering On - waitIdle Off """ settings = carb.settings.get_settings() settings.set_bool("/app/asyncRendering",True) settings.set_int("/app/settings/fabricDefaultStageFrameHistoryCount",3) settings.set_bool("/app/hydraEngine/waitIdle",False) await self.run_loop() async def tearDown(self): # reset to the default params settings = carb.settings.get_settings() settings.set_bool("/app/asyncRendering",False) settings.set_bool("/app/hydraEngine/waitIdle",True)
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_distance_to_image_plane.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestDistanceToImagePlane(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.DistanceToImagePlane ) async def test_parsed_empty(self): """ Test distance-to-image-plane sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_image_plane(self.viewport) assert np.all(data > 1000) async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_image_plane(self.viewport) assert data.dtype == np.float32 async def test_distances(self): stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_image_plane(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) async def test_distances_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ # Set the rendering mode to be pathtracing settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_image_plane(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) async def test_distances_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be pathtracing settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_image_plane(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_semantic_filter.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import unittest import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from omni.syntheticdata import SyntheticData from ..utils import add_semantics import numpy as np # Test the semantic filter class TestSemanticFilter(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() # scene # /World [belong_to:world] # /Cube [class:cube] # /Sphere [class:sphere] # /Sphere [class:sphere] # /Capsule [class:capsule] # /Cube [class:cube] # /Capsule [class:capsule] # /Nothing [belong_to:nothing] world_prim = stage.DefinePrim("/World", "Plane") add_semantics(world_prim, "world", "belong_to") world_cube_prim = stage.DefinePrim("/World/Cube", "Cube") add_semantics(world_cube_prim, "cube", "class") world_cube_sphere_prim = stage.DefinePrim("/World/Cube/Sphere", "Sphere") add_semantics(world_cube_sphere_prim, "sphere", "class") world_sphere_prim = stage.DefinePrim("/World/Sphere", "Sphere") add_semantics(world_sphere_prim, "sphere", "class") world_capsule_prim = stage.DefinePrim("/World/Capsule", "Capsule") add_semantics(world_capsule_prim, "capsule", "class") cube_prim = stage.DefinePrim("/Cube", "Cube") add_semantics(cube_prim, "cube", "class") capsule_prim = stage.DefinePrim("/Capsule", "Capsule") add_semantics(capsule_prim, "capsule", "class") nothing_prim = stage.DefinePrim("/Nothing", "Plane") add_semantics(nothing_prim, "nothing", "belong_to") self.render_product_path = get_active_viewport().render_product_path SyntheticData.Get().activate_node_template("SemanticLabelTokenSDExportRawArray", 0, [self.render_product_path]) await omni.kit.app.get_app().next_update_async() def fetch_semantic_label_tokens(self): output_names = ["outputs:data","outputs:bufferSize"] outputs = SyntheticData.Get().get_node_attributes("SemanticLabelTokenSDExportRawArray", output_names, self.render_product_path) assert outputs return outputs["outputs:data"].view(np.uint64) async def wait_for_frames(self): wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def check_num_valid_labels(self, expected_num_valid_labels): await self.wait_for_frames() num_valid_labels = np.count_nonzero(self.fetch_semantic_label_tokens()) assert num_valid_labels == expected_num_valid_labels async def test_semantic_filter_all(self): SyntheticData.Get().set_default_semantic_filter("*:*", True) await self.check_num_valid_labels(8) async def test_semantic_filter_no_world(self): SyntheticData.Get().set_default_semantic_filter("!belong_to:world", True) # /Cube /Capsule /Nothing await self.check_num_valid_labels(3) async def test_semantic_filter_all_class_test(self): SyntheticData.Get().set_default_semantic_filter("class:*", True) await self.check_num_valid_labels(6) async def test_semantic_filter_all_class_no_cube_test(self): SyntheticData.Get().set_default_semantic_filter("class:!cube&*", True) await self.check_num_valid_labels(3) async def test_semantic_filter_only_sphere_or_cube_test(self): SyntheticData.Get().set_default_semantic_filter("class:cube|sphere", True) await self.check_num_valid_labels(4) async def test_semantic_filter_sphere_and_cube_test(self): SyntheticData.Get().set_default_semantic_filter("class:cube&sphere", True) # /World/Cube/Sphere await self.check_num_valid_labels(1) async def test_semantic_filter_world_and_sphere_test(self): SyntheticData.Get().set_default_semantic_filter("class:sphere,belong_to:world", True) await self.check_num_valid_labels(2) async def test_semantic_filter_no_belong_test(self): SyntheticData.Get().set_default_semantic_filter("belong_to:!*", True) # /Cube /Capsule await self.check_num_valid_labels(2) async def test_semantic_filter_world_or_capsule_test(self): SyntheticData.Get().set_default_semantic_filter("belong_to:world;class:capsule", True) await self.check_num_valid_labels(6) async def test_semantic_filter_belong_to_nohierarchy(self): SyntheticData.Get().set_default_semantic_filter("belong_to:*", False) await self.check_num_valid_labels(2) async def test_semantic_filter_getter(self): SyntheticData.Get().set_default_semantic_filter("test:getter", False) await self.wait_for_frames() assert(SyntheticData.Get().get_default_semantic_filter()=="test:getter") async def test_instance_mapping_semantic_filter_all_class_no_cube_test(self): SyntheticData.Get().set_instance_mapping_semantic_filter("class:!cube&*") await self.check_num_valid_labels(4) async def test_instance_mapping_semantic_filter_getter(self): SyntheticData.Get().set_instance_mapping_semantic_filter("test:getter") await self.wait_for_frames() assert(SyntheticData.Get().get_instance_mapping_semantic_filter()=="test:getter") async def tearDown(self): SyntheticData.Get().set_instance_mapping_semantic_filter("*:*") SyntheticData.Get().set_default_semantic_filter("*:*")
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_depth_linear.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestDepthLinear(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.DepthLinear) async def test_parsed_empty(self): """ Test depth sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth_linear(self.viewport) assert np.all(data > 1000) async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth_linear(self.viewport) assert data.dtype == np.float32 async def test_distances(self): stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth_linear(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) async def test_distances_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ # Set the rendering mode to be pathtracing settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth_linear(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) async def test_distances_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be pathtracing settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth_linear(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position assert np.isclose(data.min(), (n - 1) / 100, atol=1e-5) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_display_rendervar.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import unittest import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from omni.syntheticdata import SyntheticData # Test the semantic filter class TestDisplayRenderVar(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): await omni.usd.get_context().new_stage_async() self.render_product_path = get_active_viewport().render_product_path await omni.kit.app.get_app().next_update_async() async def wait_for_frames(self): wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_valid_ldrcolor_texture(self): SyntheticData.Get().activate_node_template("LdrColorDisplay", 0, [self.render_product_path]) await self.wait_for_frames() display_output_names = ["outputs:rpResourcePtr", "outputs:width", "outputs:height", "outputs:format"] display_outputs = SyntheticData.Get().get_node_attributes("LdrColorDisplay", display_output_names, self.render_product_path) assert(display_outputs and all(o in display_outputs for o in display_output_names) and display_outputs["outputs:rpResourcePtr"] != 0 and display_outputs["outputs:format"] == 11) SyntheticData.Get().deactivate_node_template("LdrColorDisplay", 0, [self.render_product_path]) async def test_valid_bbox3d_texture(self): SyntheticData.Get().activate_node_template("BoundingBox3DDisplay", 0, [self.render_product_path]) await self.wait_for_frames() display_output_names = ["outputs:rpResourcePtr", "outputs:width", "outputs:height", "outputs:format"] display_outputs = SyntheticData.Get().get_node_attributes("BoundingBox3DDisplay", display_output_names, self.render_product_path) assert(display_outputs and all(o in display_outputs for o in display_output_names) and display_outputs["outputs:rpResourcePtr"] != 0 and display_outputs["outputs:format"] == 11) SyntheticData.Get().deactivate_node_template("BoundingBox3DDisplay", 0, [self.render_product_path]) async def test_valid_cam3dpos_texture(self): SyntheticData.Get().activate_node_template("Camera3dPositionDisplay", 0, [self.render_product_path]) await self.wait_for_frames() display_output_names = ["outputs:rpResourcePtr", "outputs:width", "outputs:height", "outputs:format"] display_outputs = SyntheticData.Get().get_node_attributes("Camera3dPositionDisplay", display_output_names, self.render_product_path) assert(display_outputs and all(o in display_outputs for o in display_output_names) and display_outputs["outputs:rpResourcePtr"] != 0 and display_outputs["outputs:format"] == 11) SyntheticData.Get().deactivate_node_template("Camera3dPositionDisplay", 0, [self.render_product_path])
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_cross_correspondence.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from PIL import Image from time import time from pathlib import Path import carb import numpy as np from numpy.lib.arraysetops import unique import omni.kit.test from pxr import Gf, UsdGeom from omni.kit.viewport.utility import get_active_viewport, next_viewport_frame_async, create_viewport_window # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 cameras = ["/World/Cameras/CameraFisheyeLeft", "/World/Cameras/CameraPinhole", "/World/Cameras/CameraFisheyeRight"] # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test # This test has to run last and thus it's prefixed as such to force that: # - This is because it has to create additional viewports which makes the test # get stuck if it's not the last one in the OV process session class ZZHasToRunLast_TestCrossCorrespondence(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" self.output_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "output" self.StdDevTolerance = 0.1 self.sensorViewport = None # Before running each test async def setUp(self): global cameras np.random.seed(1234) # Load the scene scenePath = os.path.join(FILE_DIR, "../data/scenes/cross_correspondence.usda") await omni.usd.get_context().open_stage_async(scenePath) await omni.kit.app.get_app().next_update_async() # Get the main-viewport as the sensor-viewport self.sensorViewport = get_active_viewport() await next_viewport_frame_async(self.sensorViewport) # Setup viewports resolution = self.sensorViewport.resolution viewport_windows = [None] * 2 x_pos, y_pos = 12, 75 for i in range(len(viewport_windows)): viewport_windows[i] = create_viewport_window(width=resolution[0], height=resolution[1], position_x=x_pos, position_y=y_pos) viewport_windows[i].width = 500 viewport_windows[i].height = 500 x_pos += 500 # Setup cameras self.sensorViewport.camera_path = cameras[0] for i in range(len(viewport_windows)): viewport_windows[i].viewport_api.camera_path = cameras[i + 1] async def test_golden_image_rt_cubemap(self): settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "RaytracedLighting") settings.set_bool("/rtx/fishEye/useCubemap", True) await omni.kit.app.get_app().next_update_async() # Use default viewport for sensor target as otherwise sensor enablement doesn't work # also the test will get stuck # Initialize Sensor await syn.sensors.create_or_retrieve_sensor_async( self.sensorViewport, syn._syntheticdata.SensorType.CrossCorrespondence ) # Render one frame await syn.sensors.next_sensor_data_async(self.sensorViewport,True) data = syn.sensors.get_cross_correspondence(self.sensorViewport) golden_image = np.load(self.golden_image_path / "cross_correspondence.npz")["array"] # normalize xy (uv offset) to zw channels' value range # x100 seems like a good number to bring uv offset to ~1 data[:, [0, 1]] *= 100 golden_image[:, [0, 1]] *= 100 std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) if std_dev >= self.StdDevTolerance: if not os.path.isdir(self.output_image_path): os.mkdir(self.output_image_path) np.savez_compressed(self.output_image_path / "cross_correspondence.npz", array=data) golden_image = ((golden_image + 1.0) / 2) * 255 data = ((data + 1.0) / 2) * 255 Image.fromarray(golden_image.astype(np.uint8), "RGBA").save( self.output_image_path / "cross_correspondence_golden.png" ) Image.fromarray(data.astype(np.uint8), "RGBA").save(self.output_image_path / "cross_correspondence.png") self.assertTrue(std_dev < self.StdDevTolerance) async def test_golden_image_rt_non_cubemap(self): settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "RaytracedLighting") settings.set_bool("/rtx/fishEye/useCubemap", False) await omni.kit.app.get_app().next_update_async() # Use default viewport for sensor target as otherwise sensor enablement doesn't work # also the test will get stuck # Initialize Sensor await syn.sensors.create_or_retrieve_sensor_async( self.sensorViewport, syn._syntheticdata.SensorType.CrossCorrespondence ) # Render one frame await syn.sensors.next_sensor_data_async(self.sensorViewport,True) data = syn.sensors.get_cross_correspondence(self.sensorViewport) golden_image = np.load(self.golden_image_path / "cross_correspondence.npz")["array"] # normalize xy (uv offset) to zw channels' value range # x100 seems like a good number to bring uv offset to ~1 data[:, [0, 1]] *= 100 golden_image[:, [0, 1]] *= 100 std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) if std_dev >= self.StdDevTolerance: if not os.path.isdir(self.output_image_path): os.mkdir(self.output_image_path) np.savez_compressed(self.output_image_path / "cross_correspondence.npz", array=data) golden_image = ((golden_image + 1.0) / 2) * 255 data = ((data + 1.0) / 2) * 255 Image.fromarray(golden_image.astype(np.uint8), "RGBA").save( self.output_image_path / "cross_correspondence_golden.png" ) Image.fromarray(data.astype(np.uint8), "RGBA").save(self.output_image_path / "cross_correspondence.png") self.assertTrue(std_dev < self.StdDevTolerance) async def test_golden_image_pt(self): settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_bool("/rtx/fishEye/useCubemap", False) await omni.kit.app.get_app().next_update_async() # Use default viewport for sensor target as otherwise sensor enablement doesn't work # also the test will get stuck # Initialize Sensor await syn.sensors.create_or_retrieve_sensor_async( self.sensorViewport, syn._syntheticdata.SensorType.CrossCorrespondence ) # Render one frame await syn.sensors.next_sensor_data_async(self.sensorViewport,True) data = syn.sensors.get_cross_correspondence(self.sensorViewport) golden_image = np.load(self.golden_image_path / "cross_correspondence.npz")["array"] # normalize xy (uv offset) to zw channels' value range # x100 seems like a good number to bring uv offset to ~1 data[:, [0, 1]] *= 100 golden_image[:, [0, 1]] *= 100 std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) if std_dev >= self.StdDevTolerance: if not os.path.isdir(self.output_image_path): os.mkdir(self.output_image_path) np.savez_compressed(self.output_image_path / "cross_correspondence.npz", array=data) golden_image = ((golden_image + 1.0) / 2) * 255 data = ((data + 1.0) / 2) * 255 Image.fromarray(golden_image.astype(np.uint8), "RGBA").save( self.output_image_path / "cross_correspondence_golden.png" ) Image.fromarray(data.astype(np.uint8), "RGBA").save(self.output_image_path / "cross_correspondence.png") self.assertTrue(std_dev < self.StdDevTolerance) async def test_same_position(self): global cameras # Make sure our cross correspondence values converage around 0 when the target and reference cameras are # in the same position settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_bool("/rtx/fishEye/useCubemap", False) # Use default viewport for sensor target as otherwise sensor enablement doesn't work # also the test will get stuck # Move both cameras to the same position camera_left = omni.usd.get_context().get_stage().GetPrimAtPath(cameras[0]) camera_right = omni.usd.get_context().get_stage().GetPrimAtPath(cameras[2]) UsdGeom.XformCommonAPI(camera_left).SetTranslate(Gf.Vec3d(-10, 4, 0)) UsdGeom.XformCommonAPI(camera_right).SetTranslate(Gf.Vec3d(-10, 4, 0)) await omni.kit.app.get_app().next_update_async() # Initialize Sensor await syn.sensors.create_or_retrieve_sensor_async( self.sensorViewport, syn._syntheticdata.SensorType.CrossCorrespondence ) # Render one frame await syn.sensors.next_sensor_data_async(self.sensorViewport,True) raw_data = syn.sensors.get_cross_correspondence(self.sensorViewport) # Get histogram parameters du_scale = float(raw_data.shape[1] - 1) dv_scale = float(raw_data.shape[0] - 1) du_img = raw_data[:, :, 0] * du_scale dv_img = raw_data[:, :, 1] * dv_scale # Clear all invalid pixels by setting them to 10000.0 invalid_mask = (raw_data[:, :, 2] == -1) du_img[invalid_mask] = 10000.0 dv_img[invalid_mask] = 10000.0 # Selection mask du_selected = (du_img >= -1.0) & (du_img < 1.0) dv_selected = (dv_img >= -1.0) & (dv_img < 1.0) # Calculate bins bins = np.arange(-1.0, 1.0 + 0.1, 0.1) # calculate histograms for cross correspondence values along eacheach axis hist_du, edges_du = np.histogram(du_img[du_selected], bins=bins) hist_dv, edges_dv = np.histogram(dv_img[dv_selected], bins=bins) # ensure the (0.0, 0.0) bins contain the most values self.assertTrue(np.argmax(hist_du) == 10) self.assertTrue(np.argmax(hist_dv) == 10) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/__init__.py
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_stage_manipulation.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import carb import random from pxr import Gf, UsdGeom, UsdLux, Sdf import unittest import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage from omni.kit.viewport.utility import get_active_viewport FILE_DIR = os.path.dirname(os.path.realpath(__file__)) # Test the ogn node repeatability under stage manipulation class TestStageManipulation(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): path = os.path.join(FILE_DIR, "../data/scenes/scene_instance_test.usda") await omni.usd.get_context().open_stage_async(path) #await omni.usd.get_context().new_stage_async() viewport = get_active_viewport() self.render_product_path = viewport.render_product_path # SyntheticData singleton interface sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestStageManipulationScenarii"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.SIMULATION, "omni.syntheticdata.SdTestStageManipulationScenarii", attributes={"inputs:worldPrimPath":"/World"} ), template_name="TestStageManipulationScenarii" # node template name ) render_vars = [ #"SemanticMapSD", #"SemanticPrimTokenSD", #"InstanceMapSD", #"InstancePrimTokenSD", #"SemanticLabelTokenSD", #"SemanticLocalTransformSD", #"SemanticWorldTransformSD", "SemanticBoundingBox2DExtentTightSD", #"SemanticBoundingBox2DInfosTightSD", "SemanticBoundingBox2DExtentLooseSD", #"SemanticBoundingBox2DInfosLooseSD", "SemanticBoundingBox3DExtentSD", "SemanticBoundingBox3DInfosSD" ] for rv in render_vars: template_name = "TestRawArray" + rv if not sdg_iface.is_node_template_registered(template_name): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, "omni.syntheticdata.SdTestPrintRawArray", [SyntheticData.NodeConnectionTemplate(rv + "ExportRawArray")] ), template_name=template_name ) self.num_loops = 37 async def render_var_test(self, render_var, ref_values, num_references_values, element_type, rand_seed=0, mode="printReferences"): sdg_iface = SyntheticData.Get() sdg_iface.activate_node_template("TestStageManipulationScenarii") sdg_iface.activate_node_template("TestRawArray" + render_var, 0, [self.render_product_path], {"inputs:elementType": element_type, "inputs:referenceValues": ref_values, "inputs:randomSeed": rand_seed, "inputs:mode": mode, "inputs:referenceNumUniqueRandomValues": num_references_values}) for _ in range(self.num_loops): await omni.kit.app.get_app().next_update_async() sdg_iface.deactivate_node_template("TestRawArray" + render_var, 0, [self.render_product_path]) sdg_iface.deactivate_node_template("TestStageManipulationScenarii") @unittest.skip("Unimplemented") async def test_semantic_map(self): await self.render_var_test("SemanticMapSD", [], "uint16", 2) async def test_semantic_bbox3d_extent(self): await self.render_var_test("SemanticBoundingBox3DExtentSD", [ 87.556404, 223.83577, -129.42677, -155.79227, -49.999996, 421.41083, 88.13742, -50.000004, 49.999905, 39.782856, -50.000004, -155.52794, -16.202198, -50.0, 136.29709, -104.94976, -155.52792, 87.556404, -50.000008, 223.83577, 49.99991, -87.8103, -50.0, -50.00001, 276.29846, 50.000004, 421.41083, -50.0, 60.42457, 223.83574, -129.42676, 312.2204, 277.44424, -50.000004, -37.84166, 87.556404, 188.92877, 136.2971, 50.000004 ], 13, "float32", 3, mode="testReferences") # async def test_semantic_bbox3d_infos(self): # await self.render_var_test("SemanticBoundingBox3DInfosSD", # [ # -50.000008, 57.119793, 49.9999, -50.000004, -50.000015, -50.000004, 62.03122, # -50.000008, -50.000004, -50.000004, -50.0, 50.0, -50.0, 57.119793, # 9.5100141e-01, -4.7552836e-01, 6.1506079e+02, 1.0000000e+00, -1.0000000e+00, 1.3421423e+03, 4.9999901e+01 # ], 11, "int32", 4, mode="printReferences") async def test_semantic_bbox2d_extent_loose(self): await self.render_var_test("SemanticBoundingBox2DExtentLooseSD", [ 733, 479, 532, 507, 460, 611, 763, 309, 17, 827, 789, 698, 554, 947, 789, 581, 534, 156, 582, 323, 825, 298, 562, 959, 595, 299, 117, 445, 572, 31, 622, 609, 228 ], 11, "int32", 5, mode="testReferences") async def test_semantic_bbox2d_extent_tight(self): await self.render_var_test("SemanticBoundingBox2DExtentTightSD", [ 0.0000000e+00, 5.0700000e+02, 1.1600000e+02, 7.4600000e+02, 5.9500000e+02, 2.1474836e+09, 2.1474836e+09, 2.5300000e+02, 3.6100000e+02, 1.7000000e+01, 0.0000000e+00, 2.1474836e+09, 2.1474836e+09, 2.1474836e+09, 2.1474836e+09, 2.1474836e+09, 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, 2.1474836e+09, 0.0000000e+00, 2.1474836e+09, 0.0000000e+00, 3.1000000e+01, 5.3900000e+02, 2.3600000e+02, 2.1474836e+09, 5.7200000e+02, 8.9200000e+02, 9.0500000e+02, 5.6200000e+02, 5.1300000e+02, 0.0000000e+00 ], 11, "int32", 9, mode="testReferences") async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_bbox3d.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import unittest import uuid import math import shutil import asyncio from time import time import carb.tokens import carb.settings import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Usd, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from .. import utils FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 TMP = carb.tokens.get_tokens_interface().resolve("${temp}") # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestBBox3D(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.BoundingBox3D) async def test_parsed_empty(self): """ Test 3D bounding box on empty stage. """ bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) assert not bool(bbox3d_data) async def test_fields_exist(self): """ Test the correctness of the output dtype. """ stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") utils.add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport, True) bbox3d_data_raw = syn.sensors.get_bounding_box_3d(self.viewport, parsed=False, return_corners=False) bbox3d_data_parsed = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) raw_dtype = np.dtype( [ ("instanceId", "<u4"), ("semanticId", "<u4"), ("x_min", "<f4"), ("y_min", "<f4"), ("z_min", "<f4"), ("x_max", "<f4"), ("y_max", "<f4"), ("z_max", "<f4"), ("transform", "<f4", (4, 4)), ] ) parsed_dtype = np.dtype( [ ("uniqueId", "<i4"), ("name", "O"), ("semanticLabel", "O"), ("metadata", "O"), ("instanceIds", "O"), ("semanticId", "<u4"), ("x_min", "<f4"), ("y_min", "<f4"), ("z_min", "<f4"), ("x_max", "<f4"), ("y_max", "<f4"), ("z_max", "<f4"), ("transform", "<f4", (4, 4)), ("corners", "<f4", (8, 3)), ] ) assert bbox3d_data_raw.dtype == raw_dtype assert bbox3d_data_parsed.dtype == parsed_dtype async def test_parsed_nested_Y_pathtracing(self): """ Test 3D bounding box with nested semantics and transforms, Y-Up, in pathtracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Y") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) await omni.kit.app.get_app().next_update_async() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) async def test_parsed_nested_Y_ray_traced_lighting(self): """ Test 3D bounding box with nested semantics and transforms, Y-Up, in ray traced lighting mode. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Y") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) async def test_parsed_nested_Y(self): """ Test 3D bounding box with nested semantics and transforms, Y-Up. """ # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Y") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) async def test_parsed_nested_Z(self): """ Test 3D bounding box with nested semantics and transforms, Z-Up. """ # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Z") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) @unittest.skip("OM-45008") async def test_camera_frame_simple_ftheta(self): """ Test 3D bounding box in a simple scene under ftheta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() # TEST SIMPLE SCENE cube = stage.DefinePrim("/Cube", "Cube") cube.GetAttribute("size").Set(2.0) UsdGeom.Xformable(cube).AddTranslateOp().Set((10.0, 1.0, 2)) utils.add_semantics(cube, "cube") camera = stage.DefinePrim("/Camera", "Camera") camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") UsdGeom.Xformable(camera).AddTranslateOp().Set((10.0, 0.0, 0.0)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) # TODO: find the correct value of distorted result. # The f theta will distort the result. extents = Gf.Range3d([-1.0, 0, 1], [1.0, 2.0, 3]) corners = np.array([[extents.GetCorner(i) for i in range(8)]]) assert not np.allclose(bbox3d_data[0]["corners"], corners) @unittest.skip("OM-45008") async def test_camera_frame_simple_spherical(self): """ Test 3D bounding box in a simple scene under fisheye spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() # TEST SIMPLE SCENE cube = stage.DefinePrim("/Cube", "Cube") cube.GetAttribute("size").Set(2.0) UsdGeom.Xformable(cube).AddTranslateOp().Set((10.0, 1.0, 2)) utils.add_semantics(cube, "cube") camera = stage.DefinePrim("/Camera", "Camera") camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") UsdGeom.Xformable(camera).AddTranslateOp().Set((10.0, 0.0, 0.0)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) # TODO: find the correct value of distorted result. # The spherical camera will distort the result. extents = Gf.Range3d([-1.0, 0, 1], [1.0, 2.0, 3]) corners = np.array([[extents.GetCorner(i) for i in range(8)]]) assert not np.allclose(bbox3d_data[0]["corners"], corners) async def test_camera_frame_simple(self): """ Test 3D bounding box in a simple scene. """ stage = omni.usd.get_context().get_stage() # TEST SIMPLE SCENE cube = stage.DefinePrim("/Cube", "Cube") cube.GetAttribute("size").Set(2.0) UsdGeom.Xformable(cube).AddTranslateOp().Set((10.0, 0.0, 10.0)) utils.add_semantics(cube, "cube") camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((10.0, 0.0, 0.0)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) extents = Gf.Range3d([-1.0, -1.0, 9.0], [1.0, 1.0, 11.0]) corners = np.array([[extents.GetCorner(i) for i in range(8)]]) assert np.allclose(bbox3d_data[0]["corners"], corners) tf = np.eye(4) tf[3, 2] = 10.0 assert np.allclose(bbox3d_data[0]["transform"], tf) async def test_camera_frame_reference(self): """ Test 3D bounding box in a simple scene. """ ref_path = os.path.join(TMP, f"ref_stage{uuid.uuid1()}.usd") ref_stage = Usd.Stage.CreateNew(ref_path) world = ref_stage.DefinePrim("/World", "Xform") world_tf = utils.get_random_transform() UsdGeom.Xformable(world).AddTransformOp().Set(world_tf) cube = ref_stage.DefinePrim("/World/Cube", "Cube") cube.GetAttribute("size").Set(2.0) cube_tf = Gf.Matrix4d().SetTranslateOnly((10.0, 0.0, 10.0)) UsdGeom.Xformable(cube).AddTransformOp().Set(cube_tf) utils.add_semantics(cube, "cube") camera = ref_stage.DefinePrim("/World/Camera", "Camera") camera_tf = cube_tf UsdGeom.Xformable(camera).AddTransformOp().Set(camera_tf) ref_stage.Save() # omni.usd.get_context().new_stage() # await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() rig = stage.DefinePrim("/Rig", "Xform") rig_tf = utils.get_random_transform() UsdGeom.Xformable(rig).AddTransformOp().Set(rig_tf) ref = stage.DefinePrim("/Rig/Ref") ref.GetReferences().AddReference(ref_path, "/World") self.viewport.camera_path = "/Rig/Ref/Camera" # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data_world = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=False ) bbox3d_data_camera = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) extents = Gf.Range3d([-1.0, -1.0, -1.0], [1.0, 1.0, 1.0]) corners = np.array([[extents.GetCorner(i) for i in range(8)]]) assert np.allclose(bbox3d_data_camera[0]["corners"], corners) combined_tf = np.matmul(cube_tf, np.matmul(world_tf, rig_tf)) corners_tf = np.matmul(np.pad(corners.reshape(-1, 3), ((0, 0), (0, 1)), constant_values=1), combined_tf) corners_tf = corners_tf[:, :3].reshape(-1, 8, 3) assert np.allclose(bbox3d_data_world[0]["corners"], corners_tf) # tf = np.eye(4) # tf[3, 2] = 10.0 assert np.allclose(bbox3d_data_world[0]["transform"], combined_tf) pt_camera_min = [bbox3d_data_camera[0][f"{a}_min"] for a in ["x", "y", "z"]] pt_camera_min = np.array([*pt_camera_min, 1.0]) pt_camera_max = [bbox3d_data_camera[0][f"{a}_max"] for a in ["x", "y", "z"]] pt_camera_max = np.array([*pt_camera_max, 1.0]) assert np.allclose(np.matmul(pt_camera_min, bbox3d_data_camera[0]["transform"])[:3], corners[0, 0]) assert np.allclose(np.matmul(pt_camera_max, bbox3d_data_camera[0]["transform"])[:3], corners[0, 7]) async def test_camera_frame_Y(self): # TEST NESTED TRANSFORMS, UP AXIS # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Y") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") camera = stage.DefinePrim("/World/Camera", "Camera") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(camera).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) # Move camera with random transform camera_tf = utils.get_random_transform() UsdGeom.Xformable(camera).AddTransformOp().Set(Gf.Matrix4d(camera_tf)) camera_tf_inv = np.linalg.inv(camera_tf) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf) gf_corners = np.dot(gf_corners, camera_tf_inv)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) async def test_camera_frame_Z(self): # TEST NESTED TRANSFORMS, UP AXIS # Create 2 cubes (size=1) under a parent prim stage = omni.usd.get_context().get_stage() UsdGeom.SetStageUpAxis(stage, "Z") parent = stage.DefinePrim("/World/Parent", "Xform") child1 = stage.DefinePrim("/World/Parent/Child1", "Cube") child2 = stage.DefinePrim("/World/Parent/Child2", "Cube") camera = stage.DefinePrim("/World/Camera", "Camera") child1.GetAttribute("size").Set(1.0) child2.GetAttribute("size").Set(1.0) utils.add_semantics(parent, "parent") utils.add_semantics(child1, "child1") utils.add_semantics(child2, "child2") UsdGeom.Xformable(parent).ClearXformOpOrder() UsdGeom.Xformable(child1).ClearXformOpOrder() UsdGeom.Xformable(child2).ClearXformOpOrder() UsdGeom.Xformable(camera).ClearXformOpOrder() UsdGeom.Xformable(parent).AddRotateYOp().Set(45) UsdGeom.Xformable(child1).AddTranslateOp().Set((-0.5, 0.5, 0.0)) UsdGeom.Xformable(child1).AddRotateYOp().Set(45) UsdGeom.Xformable(child2).AddTranslateOp().Set((0.5, -0.5, 0.0)) # Move camera with random transform camera_tf = np.eye(4) camera_tf[:3, :3] = Gf.Matrix3d(Gf.Rotation(np.random.rand(3).tolist(), np.random.rand(3).tolist())) camera_tf[3, :3] = np.random.rand(1, 3) UsdGeom.Xformable(camera).AddTransformOp().Set(Gf.Matrix4d(camera_tf)) camera_tf_inv = np.linalg.inv(camera_tf) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d( self.viewport, parsed=True, return_corners=True, camera_frame=True ) parent_bbox = [row for row in bbox3d_data if row["name"] == parent.GetPath()][0] child1_bbox = [row for row in bbox3d_data if row["name"] == child1.GetPath()][0] child2_bbox = [row for row in bbox3d_data if row["name"] == child2.GetPath()][0] # Only takes into account child transforms a = math.cos(math.pi / 4) parent_bounds = [[-a - 0.5, -1.0, -a], [1.0, 1.0, a]] child1_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] child2_bounds = [[-0.5, -0.5, -0.5], [0.5, 0.5, 0.5]] # Doesn't take into account transforms for bbox, bounds in zip([parent_bbox, child1_bbox, child2_bbox], [parent_bounds, child1_bounds, child2_bounds]): self.assertAlmostEqual(bbox["x_min"], bounds[0][0], places=5) self.assertAlmostEqual(bbox["y_min"], bounds[0][1], places=5) self.assertAlmostEqual(bbox["z_min"], bounds[0][2], places=5) self.assertAlmostEqual(bbox["x_max"], bounds[1][0], places=5) self.assertAlmostEqual(bbox["y_max"], bounds[1][1], places=5) self.assertAlmostEqual(bbox["z_max"], bounds[1][2], places=5) prim = stage.GetPrimAtPath(bbox["name"]) tf = np.array(UsdGeom.Imageable(prim).ComputeLocalToWorldTransform(0.0)) gf_range = Gf.Range3f(*bounds) gf_corners = np.array([gf_range.GetCorner(i) for i in range(8)]) gf_corners = np.pad(gf_corners, ((0, 0), (0, 1)), constant_values=1.0) gf_corners = np.dot(gf_corners, tf) gf_corners = np.dot(gf_corners, camera_tf_inv)[:, :3] assert np.allclose(bbox["corners"], gf_corners, atol=1e-5) @unittest.skip("OM-46398") async def test_bbox_3d_scene_instance(self): """ Test sensor on scene instance. """ path = os.path.join(FILE_DIR, "../data/scenes/scene_instance_test.usda") await omni.usd.get_context().open_stage_async(path) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_bounding_box_3d_(self.viewport) # should be 3 prims in the scene # TODO: add more complicated test assert len(data) == 3 async def test_bbox_3d_skinned_mesh(self): """ Test sensor on skeletal mesh. Also test visibility toggling """ path = os.path.join(FILE_DIR, "../data/scenes/can.usda") await omni.usd.get_context().open_stage_async(path) can_stage = omni.usd.get_context().get_stage() can_prim = can_stage.GetPrimAtPath("/Root/group1/pCylinder1") can_bounds = [[-2.25, -2.00, -0.11], [5.14, 2.00, 9.80]] await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.BoundingBox3D) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True, camera_frame=True) # should be 1 prims in the scene assert len(bbox3d_data) == 1 self.assertAlmostEqual(bbox3d_data[0]["x_min"], can_bounds[0][0], places=2) self.assertAlmostEqual(bbox3d_data[0]["y_min"], can_bounds[0][1], places=2) self.assertAlmostEqual(bbox3d_data[0]["z_min"], can_bounds[0][2], places=2) self.assertAlmostEqual(bbox3d_data[0]["x_max"], can_bounds[1][0], places=2) self.assertAlmostEqual(bbox3d_data[0]["y_max"], can_bounds[1][1], places=2) self.assertAlmostEqual(bbox3d_data[0]["z_max"], can_bounds[1][2], places=2) UsdGeom.Imageable(can_prim).MakeInvisible() # hide the can await omni.kit.app.get_app().next_update_async() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True, camera_frame=True) # should be 0 prims in the scene once the visibility is toggled assert len(bbox3d_data) == 0 UsdGeom.Imageable(can_prim).MakeVisible() # make the can visible again await omni.kit.app.get_app().next_update_async() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox3d_data = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True, return_corners=True, camera_frame=True) # should be 1 prims in the scene now that the can is visible again assert len(bbox3d_data) == 1 # ensure that the 3D bbox extents are the same after visibility has been toggled self.assertAlmostEqual(bbox3d_data[0]["x_min"], can_bounds[0][0], places=2) self.assertAlmostEqual(bbox3d_data[0]["y_min"], can_bounds[0][1], places=2) self.assertAlmostEqual(bbox3d_data[0]["z_min"], can_bounds[0][2], places=2) self.assertAlmostEqual(bbox3d_data[0]["x_max"], can_bounds[1][0], places=2) self.assertAlmostEqual(bbox3d_data[0]["y_max"], can_bounds[1][1], places=2) self.assertAlmostEqual(bbox3d_data[0]["z_max"], can_bounds[1][2], places=2) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_depth.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestDepth(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.Depth) async def test_parsed_empty(self): """ Test depth sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) assert data.sum() == 0 async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) assert data.dtype == np.float32 async def test_distances(self): stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) assert np.isclose(data.min(), 0, atol=1e-5) # The front of the cube is 1 ahead of its center position assert np.isclose(data.max(), 1 / (n - 1), atol=1e-5) async def test_distances_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ # Set the rendering mode to be pathtracing settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) assert np.isclose(data.min(), 0, atol=1e-5) # The front of the cube is 1 ahead of its center position assert np.isclose(data.max(), 1 / (n - 1), atol=1e-5) async def test_distances_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be pathtracing settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) assert np.isclose(data.min(), 0, atol=1e-5) # The front of the cube is 1 ahead of its center position assert np.isclose(data.max(), 1 / (n - 1), atol=1e-5) async def test_ftheta_camera(self): """ Test the functionality of the sensor under f-theta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() # Add a cube at the centre of the scene cube_prim = stage.DefinePrim("/Cube", "Cube") add_semantics(cube_prim, "cube") cube = UsdGeom.Cube(cube_prim) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_depth(self.viewport) await omni.kit.app.get_app().next_update_async() # Centre of the data should be half of the cube edge's length, adjusted to correct scale. edge_length = cube.GetSizeAttr().Get() assert np.isclose(1 / (edge_length - 1), data.max(), atol=1e-3) assert np.isclose(1 / (np.sqrt(((edge_length) ** 2)*2) - 1), data[data > 0].min(), atol=1e-1) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_semantic_seg.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time from pathlib import Path import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics import unittest FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestSemanticSeg(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() await syn.sensors.initialize_async( self.viewport, [ syn._syntheticdata.SensorType.SemanticSegmentation, syn._syntheticdata.SensorType.InstanceSegmentation ] ) async def test_empty(self): """ Test semantic segmentation on empty stage. """ data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) assert data.sum() == 0 async def test_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) assert data.dtype == np.uint32 async def test_cube(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) # np.savez_compressed(self.golden_image_path / 'semantic_seg_cube.npz', array=data) golden_image = np.load(self.golden_image_path / "semantic_seg_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 0.1 async def test_cube_sphere(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) sphere_prim = stage.DefinePrim("/Sphere", "Sphere") UsdGeom.XformCommonAPI(sphere_prim).SetTranslate((300, 0, 0)) add_semantics(sphere_prim, "sphere") sphere = UsdGeom.Sphere(sphere_prim) sphere.GetRadiusAttr().Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube.npz', array=data) assert len(data) != 0 async def test_cube_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) golden_image = np.load(self.golden_image_path / "semantic_seg_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 0.1 async def test_cube_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) golden_image = np.load(self.golden_image_path / "semantic_seg_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 0.1 async def test_cube_ftheta(self): """ Basic funtionality test of the sensor under f theta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await omni.kit.app.get_app().next_update_async() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 100, 100)) self.viewport.camera_path = camera.GetPath() await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) # np.savez_compressed(self.golden_image_path / 'semantic_seg_cube_ftheta.npz', array=data) golden_image = np.load(self.golden_image_path / "semantic_seg_cube_ftheta.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 0.1 async def test_cube_spherical(self): """ Basic funtionality test of the sensor under spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await omni.kit.app.get_app().next_update_async() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be spherical fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 100, 100)) self.viewport.camera_path = camera.GetPath() await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) # np.savez_compressed(self.golden_image_path / 'semantic_seg_cube_spherical.npz', array=data) golden_image = np.load(self.golden_image_path / "semantic_seg_cube_spherical.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 0.1 @unittest.skip("OM-46393") async def test_geom_subset(self): """ Test sensor on GeomSubset. """ path = os.path.join(FILE_DIR, "../data/scenes/streetlamp_03_golden.usd") await omni.usd.get_context().open_stage_async(path) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) assert len(data) != 0 @unittest.skip("OM-46394") async def test_sem_seg_scene_instance(self): """ Test sensor on scene instance. """ path = os.path.join(FILE_DIR, "../data/scenes/scene_instance_test.usda") await omni.usd.get_context().open_stage_async(path) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_semantic_segmentation(self.viewport, parsed=True) # TODO add more complicated test assert len(data) != 0 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_bbox2d_tight.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import unittest import carb import numpy as np import omni.kit.test from pxr import Gf, UsdGeom from omni.kit.viewport.utility import get_active_viewport # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestBBox2DTight(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.BoundingBox2DTight ) async def test_parsed_empty(self): """ Test 2D bounding box on empty stage. """ bbox2d_data = syn.sensors.get_bounding_box_2d_tight(self.viewport) assert not bool(bbox2d_data) async def test_fields_exist(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_tight(self.viewport) valid_dtype = [ ("uniqueId", "<i4"), ("name", "O"), ("semanticLabel", "O"), ("metadata", "O"), ("instanceIds", "O"), ("semanticId", "<u4"), ("x_min", "<i4"), ("y_min", "<i4"), ("x_max", "<i4"), ("y_max", "<i4"), ] assert bbox2d_data.dtype == np.dtype(valid_dtype) async def test_cube(self): """ Basic test for the sensor. """ stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_tight(self.viewport) assert bbox2d_data[0] x_min, y_min, x_max, y_max = bbox2d_data[0][6], bbox2d_data[0][7], bbox2d_data[0][8], bbox2d_data[0][9] assert x_min == 301 assert y_min == 21 assert x_max == 978 assert y_max == 698 @unittest.skip("OM-46398") async def test_bbox_2d_tight_scene_instance(self): """ Test sensor on scene instance. """ settings = carb.settings.get_settings() if settings.get("/rtx/hydra/enableSemanticSchema"): path = os.path.join(FILE_DIR, "../data/scenes/scene_instance_test.usda") await omni.usd.get_context().open_stage_async(path) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_bounding_box_2d_tight(self.viewport) # should be 3 prims in the scene. # TODO: Add more complicated test assert len(data) == 3 async def test_cube_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_tight(self.viewport) x_min, y_min, x_max, y_max = bbox2d_data[0][6], bbox2d_data[0][7], bbox2d_data[0][8], bbox2d_data[0][9] assert x_min == 301 assert y_min == 21 assert x_max == 978 assert y_max == 698 async def test_cube_ray_traced_lighting(self): """ Basic test for the sensor, but in ray traced lighting mode. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_tight(self.viewport) x_min, y_min, x_max, y_max = bbox2d_data[0][6], bbox2d_data[0][7], bbox2d_data[0][8], bbox2d_data[0][9] assert x_min == 301 assert y_min == 21 assert x_max == 978 assert y_max == 698 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_distance_to_camera.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os from time import time from pathlib import Path import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestDistanceToCamera(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.DistanceToCamera) async def test_parsed_empty(self): """ Test distance-to-camera sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) assert np.all(data > 1000) async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) assert data.dtype == np.float32 async def test_distances(self): stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position # TODO get a more precise calculation of eye distance assert np.isclose(data.min(), (n - 1) / 100, atol=1e-1) async def test_distances_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ # Set the rendering mode to be pathtracing settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position # TODO get a more precise calculation of eye distance assert np.isclose(data.min(), (n - 1) / 100, atol=1e-1) async def test_distances_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be pathtracing settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() for n in range(10, 100, 10): cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # n = 5 UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -n)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) assert data.max() > 1000 # The front of the cube is 1 ahead of its center position # TODO get a more precise calculation of eye distance assert np.isclose(data.min(), (n - 1) / 100, atol=1e-1) async def test_ftheta_camera(self): """ Test the functionality of the sensor under f-theta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() # Add a cube at the centre of the scene cube_prim = stage.DefinePrim("/Cube", "Cube") add_semantics(cube_prim, "cube") cube = UsdGeom.Cube(cube_prim) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) await omni.kit.app.get_app().next_update_async() # Centre of the data should be half of the cube edge's length, adjusted to correct scale. edge_length = (cube.GetSizeAttr().Get() - 1) / 100 # The max should be sqrt(((edge_length / 2) ** 2) * 2), which a pinhole camera won't see. assert np.isclose(np.sqrt(((edge_length / 2) ** 2)*2), data[data != np.inf].max(), atol=1e-3) async def test_spherical_camera(self): """ Test the functionality of the sensor under fisheye spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be spherical camera camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") # Set the Camera at the centre of the stage. UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() sphere_prim = stage.DefinePrim("/Sphere", "Sphere") add_semantics(sphere_prim, "sphere") sphere = UsdGeom.Sphere(sphere_prim) sphere.GetRadiusAttr().Set(20) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_distance_to_camera(self.viewport) # np.savez_compressed(self.golden_image_path / 'distance_to_camera_spherical.npz', array=data) golden_image = np.load(self.golden_image_path / "distance_to_camera_spherical.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_normals.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time from pathlib import Path import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestNormals(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.Normal) async def test_parsed_empty(self): """ Test normals sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) assert np.allclose(data, 0, 1e-3) async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) assert data.dtype == np.float32 async def test_neg_z(self): """ Test that negative z faces are distinct from background """ stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddRotateYOp().Set(180) UsdGeom.Xformable(camera).AddTranslateOp().Set((0.0, 0.0, 20.0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) assert len(np.unique(data)) == 2 async def test_rotated_cube(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) # np.savez_compressed(self.golden_image_path / 'normals_cube.npz', array=data) golden_image = np.load(self.golden_image_path / "normals_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_rotated_cube_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) # np.savez_compressed(self.golden_image_path / 'normals_cube.npz', array=data) golden_image = np.load(self.golden_image_path / "normals_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_rotated_cube_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) # np.savez_compressed(self.golden_image_path / 'normals_cube.npz', array=data) golden_image = np.load(self.golden_image_path / "normals_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_rotated_cube_ftheta(self): """ Basic funtionality test of the sensor in f theta camera. """ # Set the mode to path traced for f theta camera. settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await omni.kit.app.get_app().next_update_async() # Setting up camera. camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((200, 200, 200)) self.viewport.camera_path = camera.GetPath() await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) # np.savez_compressed(self.golden_image_path / 'normals_cube_ftheta.npz', array=data) golden_image = np.load(self.golden_image_path / "normals_cube_ftheta.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_rotated_cube_spherical(self): """ Basic funtionality test of the sensor in fisheye spherical camera. """ # Set the mode to path traced. settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) # Setting up camera. camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((200, 200, 200)) self.viewport.camera_path = camera.GetPath() await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_normals(self.viewport) # np.savez_compressed(self.golden_image_path / 'normals_cube_spherical.npz', array=data) golden_image = np.load(self.golden_image_path / "normals_cube_spherical.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_rgb.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time from pathlib import Path import unittest from PIL import Image import carb import numpy as np from numpy.lib.arraysetops import unique import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf, UsdLux # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestRGB(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Before running each test async def setUp(self): np.random.seed(1234) settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async(self.viewport, syn._syntheticdata.SensorType.Rgb) async def test_empty(self): """ Test RGB sensor on empty stage. """ # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_rgb(self.viewport) std_dev = np.sqrt(np.square(data - np.zeros_like(data)).astype(float).mean()) assert std_dev < 2 async def test_cube(self): """ Test RGB sensor on stage with cube. """ stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) cube.GetAttribute("primvars:displayColor").Set([(0, 0, 1)]) await omni.kit.app.get_app().next_update_async() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_rgb(self.viewport) golden_image = np.asarray(Image.open(str(self.golden_image_path / "rgb_cube.png"))) std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_rgb(self.viewport) assert data.dtype == np.uint8 @unittest.skip("OM-44741") async def test_cube_polynomial(self): """ Test RGB sensor on stage with cube. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) cube.GetAttribute("primvars:displayColor").Set([(0, 0, 1)]) await omni.kit.app.get_app().next_update_async() # TODO: Add a light camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be spherical camera camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 200)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_rgb(self.viewport) # image = Image.fromarray(data) # image.save(str(self.golden_image_path / "rgb_cube_ftheta.png")) golden_image = np.asarray(Image.open(str(self.golden_image_path / "rgb_cube_ftheta.png"))) std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 @unittest.skip("OM-44741") async def test_cube_spherical(self): """ Test RGB sensor on stage with cube. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) cube.GetAttribute("primvars:displayColor").Set([(0, 0, 1)]) await omni.kit.app.get_app().next_update_async() # TODO: Add a light camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be spherical camera camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 200)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_rgb(self.viewport) # image = Image.fromarray(data) # image.save(str(self.golden_image_path / "rgb_cube_spherical.png")) golden_image = np.asarray(Image.open(str(self.golden_image_path / "rgb_cube_spherical.png"))) std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_rendervar_buff_host_ptr.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import unittest import numpy as np import ctypes import omni.kit.test from omni.gpu_foundation_factory import TextureFormat from omni.kit.viewport.utility import get_active_viewport from pxr import UsdGeom, UsdLux # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics # Test the SyntheticData following nodes : # - SdPostRenderVarTextureToBuffer : node to convert a texture device rendervar into a buffer device rendervar # - SdPostRenderVarToHost : node to readback a device rendervar into a host rendervar # - SdRenderVarPtr : node to expose in the action graph, raw device / host pointers on the renderVars # # the tests consists in pulling the ptr data and comparing it with the data ouputed by : # - SdRenderVarToRawArray # class TestRenderVarBuffHostPtr(omni.kit.test.AsyncTestCase): _tolerance = 1.1 _outputs_ptr = ["outputs:dataPtr","outputs:width","outputs:height","outputs:bufferSize","outputs:format", "outputs:strides"] _outputs_arr = ["outputs:data","outputs:width","outputs:height","outputs:bufferSize","outputs:format"] @staticmethod def _texture_element_size(texture_format): if texture_format == int(TextureFormat.RGBA16_SFLOAT): return 8 elif texture_format == int(TextureFormat.RGBA32_SFLOAT): return 16 elif texture_format == int(TextureFormat.R32_SFLOAT): return 4 elif texture_format == int(TextureFormat.RGBA8_UNORM): return 4 elif texture_format == int(TextureFormat.R32_UINT): return 4 else: return 0 @staticmethod def _assert_equal_tex_infos(out_a, out_b): assert((out_a["outputs:width"] == out_b["outputs:width"]) and (out_a["outputs:height"] == out_b["outputs:height"]) and (out_a["outputs:format"] == out_b["outputs:format"])) @staticmethod def _assert_equal_buff_infos(out_a, out_b): assert((out_a["outputs:bufferSize"] == out_b["outputs:bufferSize"])) @staticmethod def _assert_equal_data(data_a, data_b): assert(np.amax(np.square(data_a - data_b)) < TestRenderVarBuffHostPtr._tolerance) def _get_raw_array(self, render_var): ptr_outputs = syn.SyntheticData.Get().get_node_attributes(render_var + "ExportRawArray", TestRenderVarBuffHostPtr._outputs_arr, self.render_product) is_texture = ptr_outputs["outputs:width"] > 0 if is_texture: elem_size = TestRenderVarBuffHostPtr._texture_element_size(ptr_outputs["outputs:format"]) arr_shape = (ptr_outputs["outputs:height"], ptr_outputs["outputs:width"], elem_size) ptr_outputs["outputs:data"] = ptr_outputs["outputs:data"].reshape(arr_shape) return ptr_outputs def _get_ptr_array(self, render_var, ptr_suffix): ptr_outputs = syn.SyntheticData.Get().get_node_attributes(render_var + ptr_suffix, TestRenderVarBuffHostPtr._outputs_ptr, self.render_product) c_ptr = ctypes.cast(ptr_outputs["outputs:dataPtr"],ctypes.POINTER(ctypes.c_ubyte)) is_texture = ptr_outputs["outputs:width"] > 0 if is_texture: elem_size = TestRenderVarBuffHostPtr._texture_element_size(ptr_outputs["outputs:format"]) arr_shape = (ptr_outputs["outputs:height"], ptr_outputs["outputs:width"], elem_size) arr_strides = ptr_outputs["outputs:strides"] buffer_size = arr_strides[1] * arr_shape[1] arr_strides = (arr_strides[1], arr_strides[0], 1) data_ptr = np.ctypeslib.as_array(c_ptr,shape=(buffer_size,)) data_ptr = np.lib.stride_tricks.as_strided(data_ptr, shape=arr_shape, strides=arr_strides) else: data_ptr = np.ctypeslib.as_array(c_ptr,shape=(ptr_outputs["outputs:bufferSize"],)) ptr_outputs["outputs:dataPtr"] = data_ptr return ptr_outputs def _assert_equal_rv_ptr(self, render_var:str, ptr_suffix:str, texture=None): arr_out = self._get_raw_array(render_var) ptr_out = self._get_ptr_array(render_var,ptr_suffix) if not texture is None: if texture: TestRenderVarBuffHostPtr._assert_equal_tex_infos(arr_out,ptr_out) else: TestRenderVarBuffHostPtr._assert_equal_buff_infos(arr_out,ptr_out) TestRenderVarBuffHostPtr._assert_equal_data(arr_out["outputs:data"],ptr_out["outputs:dataPtr"]) def _assert_equal_rv_ptr_size(self, render_var:str, ptr_suffix:str, arr_size:int): ptr_out = self._get_ptr_array(render_var,ptr_suffix) data_ptr = ptr_out["outputs:dataPtr"] # helper for setting the value : print the size if None if arr_size is None: print(f"EqualRVPtrSize : {render_var} = {data_ptr.size}") else: assert(data_ptr.size==arr_size) def _assert_equal_rv_arr(self, render_var:str, ptr_suffix:str, texture=None): arr_out_a = self._get_raw_array(render_var) arr_out_b = self._get_raw_array(render_var+ptr_suffix) if not texture is None: if texture: TestRenderVarBuffHostPtr._assert_equal_tex_infos(arr_out_a,arr_out_b) else: TestRenderVarBuffHostPtr._assert_equal_buff_infos(arr_out_a,arr_out_b) TestRenderVarBuffHostPtr._assert_equal_data( arr_out_a["outputs:data"].flatten(),arr_out_b["outputs:data"].flatten()) def _assert_executed_rv_ptr(self, render_var:str, ptr_suffix:str): ptr_outputs = syn.SyntheticData.Get().get_node_attributes(render_var + ptr_suffix, ["outputs:exec"], self.render_product) assert(ptr_outputs["outputs:exec"]>0) def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) sphere_prim = stage.DefinePrim("/World/Sphere", "Sphere") add_semantics(sphere_prim, "sphere") UsdGeom.Xformable(sphere_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(sphere_prim).AddScaleOp().Set((77, 77, 77)) UsdGeom.Xformable(sphere_prim).AddRotateXYZOp().Set((-90, 0, 0)) sphere_prim.GetAttribute("primvars:displayColor").Set([(1, 0.3, 1)]) capsule0_prim = stage.DefinePrim("/World/Sphere/Capsule0", "Capsule") add_semantics(capsule0_prim, "capsule0") UsdGeom.Xformable(capsule0_prim).AddTranslateOp().Set((3, 0, 0)) UsdGeom.Xformable(capsule0_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule0_prim.GetAttribute("primvars:displayColor").Set([(0.3, 1, 0)]) capsule1_prim = stage.DefinePrim("/World/Sphere/Capsule1", "Capsule") add_semantics(capsule1_prim, "capsule1") UsdGeom.Xformable(capsule1_prim).AddTranslateOp().Set((-3, 0, 0)) UsdGeom.Xformable(capsule1_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule1_prim.GetAttribute("primvars:displayColor").Set([(0, 1, 0.3)]) capsule2_prim = stage.DefinePrim("/World/Sphere/Capsule2", "Capsule") add_semantics(capsule2_prim, "capsule2") UsdGeom.Xformable(capsule2_prim).AddTranslateOp().Set((0, 3, 0)) UsdGeom.Xformable(capsule2_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule2_prim.GetAttribute("primvars:displayColor").Set([(0.7, 0.1, 0.4)]) capsule3_prim = stage.DefinePrim("/World/Sphere/Capsule3", "Capsule") add_semantics(capsule3_prim, "capsule3") UsdGeom.Xformable(capsule3_prim).AddTranslateOp().Set((0, -3, 0)) UsdGeom.Xformable(capsule3_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule3_prim.GetAttribute("primvars:displayColor").Set([(0.1, 0.7, 0.4)]) spherelight = UsdLux.SphereLight.Define(stage, "/SphereLight") spherelight.GetIntensityAttr().Set(30000) spherelight.GetRadiusAttr().Set(30) self.viewport = get_active_viewport() self.render_product = self.viewport.render_product_path await omni.kit.app.get_app().next_update_async() async def test_host_arr(self): render_vars = [ "BoundingBox2DLooseSD", "SemanticLocalTransformSD" ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "ExportRawArray", 0, [self.render_product]) syn.SyntheticData.Get().activate_node_template(render_var + "hostExportRawArray", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_equal_rv_arr(render_var,"host", False) async def test_host_ptr_size(self): render_vars = { "BoundingBox3DSD" : 576, "BoundingBox2DLooseSD" : 144, "SemanticLocalTransformSD" : 320, "Camera3dPositionSD" : 14745600, "SemanticMapSD" : 10, "InstanceSegmentationSD" : 3686400, "SemanticBoundingBox3DCamExtentSD" : 120, "SemanticBoundingBox3DFilterInfosSD" : 24 } for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "hostPtr", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var, arr_size in render_vars.items(): self._assert_equal_rv_ptr_size(render_var,"hostPtr", arr_size) async def test_buff_arr(self): render_vars = [ "Camera3dPositionSD", "DistanceToImagePlaneSD", ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "ExportRawArray", 0, [self.render_product]) syn.SyntheticData.Get().activate_node_template(render_var + "buffExportRawArray", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_equal_rv_arr(render_var, "buff") async def test_host_ptr(self): render_vars = [ "BoundingBox2DTightSD", "BoundingBox3DSD", "InstanceMapSD" ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "ExportRawArray", 0, [self.render_product]) syn.SyntheticData.Get().activate_node_template(render_var + "hostPtr", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_equal_rv_ptr(render_var,"hostPtr",False) self._assert_executed_rv_ptr(render_var,"hostPtr") async def test_host_ptr_tex(self): render_vars = [ "NormalSD", "DistanceToCameraSD" ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "ExportRawArray", 0, [self.render_product]) syn.SyntheticData.Get().activate_node_template(render_var + "hostPtr", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_equal_rv_ptr(render_var,"hostPtr",True) async def test_buff_host_ptr(self): render_vars = [ "LdrColorSD", "InstanceSegmentationSD", ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "ExportRawArray", 0, [self.render_product]) syn.SyntheticData.Get().activate_node_template(render_var + "buffhostPtr", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_equal_rv_ptr(render_var, "buffhostPtr",True) async def test_empty_semantic_host_ptr(self): await omni.usd.get_context().new_stage_async() self.viewport = get_active_viewport() self.render_product = self.viewport.render_product_path await omni.kit.app.get_app().next_update_async() render_vars = [ "BoundingBox2DTightSD", "BoundingBox3DSD", "InstanceMapSD" ] for render_var in render_vars: syn.SyntheticData.Get().activate_node_template(render_var + "hostPtr", 0, [self.render_product]) await syn.sensors.next_render_simulation_async(self.render_product, 1) for render_var in render_vars: self._assert_executed_rv_ptr(render_var,"hostPtr") # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_bbox2d_loose.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import unittest import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestBBox2DLoose(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.BoundingBox2DLoose ) async def test_parsed_empty(self): """ Test 2D bounding box on empty stage. """ bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert not bool(bbox2d_data) async def test_bbox_2d_loose_fields_exist(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) valid_dtype = [ ("uniqueId", "<i4"), ("name", "O"), ("semanticLabel", "O"), ("metadata", "O"), ("instanceIds", "O"), ("semanticId", "<u4"), ("x_min", "<i4"), ("y_min", "<i4"), ("x_max", "<i4"), ("y_max", "<i4"), ] assert bbox2d_data.dtype == np.dtype(valid_dtype) async def test_bbox_2d_loose_cube(self): """ Basic test for the sensor. """ stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert bbox2d_data['x_min'] == 301 assert bbox2d_data['y_min'] == 21 assert bbox2d_data['x_max'] == 978 assert bbox2d_data['y_max'] == 698 async def test_cube_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert bbox2d_data['x_min'] == 301 assert bbox2d_data['y_min'] == 21 assert bbox2d_data['x_max'] == 978 assert bbox2d_data['y_max'] == 698 async def test_cube_ray_traced_lighting(self): """ Basic test for the sensor, but in ray traced lighting mode. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert bbox2d_data['x_min'] == 301 assert bbox2d_data['y_min'] == 21 assert bbox2d_data['x_max'] == 978 assert bbox2d_data['y_max'] == 698 async def test_cube_ftheta(self): """ Basic funtionality test of the sensor in ftheta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert bbox2d_data['x_min'] == 612 assert bbox2d_data['y_min'] == 325 assert bbox2d_data['x_max'] == 671 assert bbox2d_data['y_max'] == 384 async def test_cube_spherical(self): """ Basic funtionality test of the sensor in fisheye spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") UsdGeom.Xformable(camera).AddTranslateOp().Set((0, 0, 0)) self.viewport.camera_path = camera.GetPath() await omni.kit.app.get_app().next_update_async() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") UsdGeom.XformCommonAPI(cube).SetTranslate((0, 0, -10)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) bbox2d_data = syn.sensors.get_bounding_box_2d_loose(self.viewport) assert bbox2d_data['x_min'] == 617 assert bbox2d_data['y_min'] == 335 assert bbox2d_data['x_max'] == 662 assert bbox2d_data['y_max'] == 384 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/sensors/test_instance_seg.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time from pathlib import Path import unittest import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Gf, UsdGeom, Sdf # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 200 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestInstanceSeg(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) self.golden_image_path = Path(os.path.dirname(os.path.abspath(__file__))) / ".." / "data" / "golden" # Before running each test async def setUp(self): settings = carb.settings.get_settings() np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.InstanceSegmentation ) # TODO # async def test_parsed_empty(self): # """ Test instance segmentation on empty stage. # """ # data = syn.sensors.get_instance_segmentation(self.viewport, parsed=True) # assert data.sum() == 0 async def test_parsed_dtype(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") await omni.kit.app.get_app().next_update_async() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport, parsed=True) assert data.dtype == np.uint32 async def test_cube(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport, return_mapping=False) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_cube_sphere(self): stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) sphere_prim = stage.DefinePrim("/Sphere", "Sphere") UsdGeom.XformCommonAPI(sphere_prim).SetTranslate((300, 0, 0)) add_semantics(sphere_prim, "sphere") sphere = UsdGeom.Sphere(sphere_prim) sphere.GetRadiusAttr().Set(100) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube_sphere.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube_sphere.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_cube_pathtracing(self): """ Basic funtionality test of the sensor, but in path tracing mode. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube_pathtracing.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube_pathtracing.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_cube_ray_traced_lighting(self): """ Basic funtionality test of the sensor, but in ray traced lighting. """ # Set the rendering mode to be ray traced lighting. settings_interface = carb.settings.get_settings() settings_interface.set_string("/rtx/rendermode", "RayTracedLighting") stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube_ray_traced_lighting.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube_ray_traced_lighting.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_cube_ftheta(self): """ Basic funtionality test of the sensor under ftheta camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await omni.kit.app.get_app().next_update_async() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be polynomial fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyePolynomial") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 100, 100)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube_ftheta.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube_ftheta.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 async def test_cube_spherical(self): """ Basic funtionality test of the sensor under fisheye spherical camera. """ settings = carb.settings.get_settings() settings.set_string("/rtx/rendermode", "PathTracing") settings.set_int("/rtx/pathtracing/spp", 32) settings.set_int("/persistent/app/viewport/displayOptions", 0) stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) await omni.kit.app.get_app().next_update_async() camera = stage.DefinePrim("/Camera", "Camera") # Set the camera to be spherical fish eye camera. camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set("fisheyeSpherical") # Set the Camera's position UsdGeom.Xformable(camera).AddTranslateOp().Set((100, 100, 100)) self.viewport.camera_path = camera.GetPath() # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) # np.savez_compressed(self.golden_image_path / 'instance_seg_cube_spherical.npz', array=data) golden_image = np.load(self.golden_image_path / "instance_seg_cube_spherical.npz")["array"] std_dev = np.sqrt(np.square(data - golden_image).astype(float).mean()) assert std_dev < 2 @unittest.skip("OM-46393") async def test_geom_subset(self): """ Test sensor on GeomSubset. """ path = os.path.join(FILE_DIR, "../data/scenes/streetlamp_03_golden.usd") await omni.usd.get_context().open_stage_async(path) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) assert len(data) != 0 async def test_instance_seg_scene_instance(self): """ Test sensor on scene instance. """ settings = carb.settings.get_settings() path = os.path.join(FILE_DIR, "../data/scenes/scene_instance_test.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.InstanceSegmentation ) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport) assert len(data) != 0 async def test_instance_seg_scene_instance_benchchair(self): """ Test sensor on scene instanced bench and chair data. """ settings = carb.settings.get_settings() path = os.path.join(FILE_DIR, "../data/scenes/BenchChair_SceneInstance_Mini.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.InstanceSegmentation ) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport,parsed=True) assert len(data) != 0 # should be 4 semantic objects in the scene. assert data.max() == 4 async def test_instance_seg_point_instance_benchchair(self): """ Test sensor on point instanced bench and chair data. """ settings = carb.settings.get_settings() path = os.path.join(FILE_DIR, "../data/scenes/BenchChair_Mini.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.InstanceSegmentation ) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport,parsed=True) assert len(data) != 0 assert data.max() == 2 async def test_instance_seg_point_instance_shapes(self): """ Test sensor on point instanced shapes that have semantics on the mesh. """ settings = carb.settings.get_settings() path = os.path.join(FILE_DIR, "../data/scenes/point_instancer_semantic_shapes.usda") await omni.usd.get_context().open_stage_async(path) await omni.kit.app.get_app().next_update_async() await syn.sensors.create_or_retrieve_sensor_async( self.viewport, syn._syntheticdata.SensorType.InstanceSegmentation ) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) data = syn.sensors.get_instance_segmentation(self.viewport,parsed=True) assert len(data) != 0 assert data.max() == 2 # After running each test async def tearDown(self): settings = carb.settings.get_settings() pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/helpers/test_projection.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Sdf, UsdGeom, Vt # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestProjection(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): await omni.usd.get_context().new_stage_async() # Setup viewport self.viewport = get_active_viewport() self.stage = omni.usd.get_context().get_stage() prim = self.stage.DefinePrim("/World", "Xform") self.stage.SetDefaultPrim(prim) cube = self.stage.DefinePrim("/World/Cube", "Cube") add_semantics(cube, "cube") usd_camera = UsdGeom.Camera.Define(self.stage, "/World/Camera") usd_camera.AddTranslateOp() self.camera = usd_camera.GetPrim() self.camera.CreateAttribute("cameraProjectionType", Sdf.ValueTypeNames.Token).Set(Vt.Token("pinhole")) self.camera.CreateAttribute("fthetaWidth", Sdf.ValueTypeNames.Float).Set(960) self.camera.CreateAttribute("fthetaHeight", Sdf.ValueTypeNames.Float).Set(604) self.camera.CreateAttribute("fthetaCx", Sdf.ValueTypeNames.Float).Set(460) self.camera.CreateAttribute("fthetaCy", Sdf.ValueTypeNames.Float).Set(340) self.camera.CreateAttribute("fthetaMaxFov", Sdf.ValueTypeNames.Float).Set(200.0) self.camera.CreateAttribute("fthetaPolyA", Sdf.ValueTypeNames.Float).Set(0.0) self.camera.CreateAttribute("fthetaPolyB", Sdf.ValueTypeNames.Float).Set(0.0059) self.camera.CreateAttribute("fthetaPolyC", Sdf.ValueTypeNames.Float).Set(0.0) self.camera.CreateAttribute("fthetaPolyD", Sdf.ValueTypeNames.Float).Set(0.0) self.camera.CreateAttribute("fthetaPolyE", Sdf.ValueTypeNames.Float).Set(0.0) self.viewport.camera_path = self.camera.GetPath() syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.BoundingBox3D]) await syn.sensors.next_sensor_data_async(self.viewport, True) async def test_fisheye_polynomial_max_fov(self): """ Test that fisheye polynomial projection can safely project outside of max FOV world space points """ self.camera.GetAttribute("cameraProjectionType").Set(Vt.Token("fisheyePolynomial")) self.camera.GetAttribute("xformOp:translate").Set((0.0, 0.0, 0.0)) self.camera.GetAttribute("fthetaMaxFov").Set(120) self.camera.GetAttribute("fthetaPolyB").Set(0.0005) # introduce a max in the polynomial around r = 4082.5 which has theta = 1.360827 rads (~80 deg). self.camera.GetAttribute("fthetaPolyD").Set(-1E-11) # A correct fish eye camera projection will have monotonically increasing r as theta increases. points = [] stationary_angle = 1.360827 theta_spacing = (2.0*math.pi)/ 90.0 # 4 deg spacing num_adjacent_points = 8 # test monotonical behaviour for 40 degrees on each side of max point start_angle = stationary_angle - num_adjacent_points * theta_spacing for i in range(0, 2*num_adjacent_points): theta = start_angle + i * theta_spacing # place points in the x-z plane x = math.sin(theta) z = -math.cos(theta) # camera looks down z-axis in negative direction points.append([x, 0, z]) points = np.asarray(points) projected = syn.helpers.world_to_image(points, self.viewport) r = np.linalg.norm(projected, axis=1) monotonic = np.all(r[1:] > r[:-1]) # check each element is greater than the element before it assert monotonic async def test_pinhole(self): """ Test pinhole projection """ self.camera.GetAttribute("xformOp:translate").Set((0.0, 0.0, 9.0)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) # Get 3D bbox bbox3d = syn.sensors.get_bounding_box_3d(self.viewport, return_corners=True, parsed=True) # Project corners corners = bbox3d["corners"] projected = syn.helpers.world_to_image(corners.reshape(-1, 3), self.viewport).reshape(-1, 8, 3) # GT # Confirmed visually to be correct GT = [ [ [0.26139346, 0.9241894, 0.9000009], [0.73860654, 0.9241894, 0.9000009], [0.26139346, 0.0758106, 0.9000009], [0.73860654, 0.0758106, 0.9000009], [0.20174183, 1.03023675, 0.87500088], [0.79825817, 1.03023675, 0.87500088], [0.20174183, -0.03023675, 0.87500088], [0.79825817, -0.03023675, 0.87500088], ] ] # Validate assert np.allclose(GT, projected) async def test_fisheye_polynomial(self): """ Test fisheye polynomial projection (F-Theta) """ self.camera.GetAttribute("xformOp:translate").Set((0.0, 0.0, 3.0)) self.camera.GetAttribute("cameraProjectionType").Set(Vt.Token("fisheyePolynomial")) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport, True) # Get 3D bbox bbox3d = syn.sensors.get_bounding_box_3d(self.viewport, return_corners=True, parsed=True) # Project corners corners = bbox3d["corners"] projected = syn.helpers.world_to_image(corners.reshape(-1, 3), self.viewport).reshape(-1, 8, 3) # GT # Confirmed visually to be correct GT = [ [ [0.43674065, 0.6457944, 0.0], [0.52159268, 0.6457944, 0.0], [0.43674065, 0.49494634, 0.0], [0.52159268, 0.49494634, 0.0], [0.40232877, 0.70697108, 0.0], [0.55600456, 0.70697108, 0.0], [0.40232877, 0.43376967, 0.0], [0.55600456, 0.43376967, 0.0], ] ] # Validate assert np.allclose(GT, projected) # Run the operation in reverse view_params = syn.helpers.get_view_params(self.viewport) proj_i2w = projected[0, :, :2] proj_i2w[..., 0] *= view_params["width"] proj_i2w[..., 1] *= view_params["height"] origin, directions = syn.helpers.image_to_world(proj_i2w, view_params) gt_corner_directions = corners[0] - origin gt_corner_directions /= np.linalg.norm(gt_corner_directions, axis=1, keepdims=True) assert np.allclose(gt_corner_directions, directions) # FOR VISUAL DEBUGGING self.camera.GetAttribute("clippingRange").Set((0.1, 1000000)) for i, d in enumerate(directions): s = self.stage.DefinePrim(f"/World/pt{i}", "Sphere") UsdGeom.Xformable(s).AddTranslateOp().Set(tuple((d + origin).tolist())) s.GetAttribute("radius").Set(0.03) async def test_fisheye_polynomial_edge(self): """ Test fisheye polynomial projection (F-Theta) at edge of FOV """ self.camera.GetAttribute("xformOp:translate").Set((4.0, 0.0, 0.5)) self.camera.GetAttribute("cameraProjectionType").Set(Vt.Token("fisheyePolynomial")) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport, True) # Get 3D bbox bbox3d = syn.sensors.get_bounding_box_3d(self.viewport, return_corners=True, parsed=True) # Project corners corners = bbox3d["corners"] projected = syn.helpers.world_to_image(corners.reshape(-1, 3), self.viewport).reshape(-1, 8, 3) # GT # Confirmed visually to be correct GT = [ [ [0.25675408, 0.6494504, 0.0], [0.2902532, 0.68231909, 0.0], [0.25675408, 0.49129034, 0.0], [0.2902532, 0.45842165, 0.0], [0.19030016, 0.67307846, 0.0], [0.18980286, 0.74184522, 0.0], [0.19030016, 0.46766228, 0.0], [0.18980286, 0.39889552, 0.0], ] ] # Validate assert np.allclose(GT, projected) # Run the operation in reverse view_params = syn.helpers.get_view_params(self.viewport) proj_i2w = projected[0, :, :2] proj_i2w[..., 0] *= view_params["width"] proj_i2w[..., 1] *= view_params["height"] origin, directions = syn.helpers.image_to_world(proj_i2w, view_params) gt_corner_directions = corners[0] - origin gt_corner_directions /= np.linalg.norm(gt_corner_directions, axis=1, keepdims=True) assert np.allclose(gt_corner_directions, directions) # FOR VISUAL DEBUGGING self.camera.GetAttribute("clippingRange").Set((0.1, 1000000)) for i, d in enumerate(directions): s = self.stage.DefinePrim(f"/World/pt{i}", "Sphere") UsdGeom.Xformable(s).AddTranslateOp().Set(tuple((d + origin).tolist())) # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/helpers/test_instance_mapping.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import UsdPhysics # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestHelpersInstanceMappings(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): # Setup viewport self.viewport = get_active_viewport() await omni.usd.get_context().new_stage_async() self.stage = omni.usd.get_context().get_stage() prim = self.stage.DefinePrim("/World", "Xform") self.stage.SetDefaultPrim(prim) async def test_non_semantic_schemas(self): """ Test mixture of applied schemas including non-semantics. """ prim = self.stage.DefinePrim("/World/Cone", "Cone") # Add semantics schema add_semantics(prim, "Je ne suis pas un cone.") # Non-semantics schema UsdPhysics.RigidBodyAPI.Apply(prim) await syn.sensors.next_sensor_data_async(self.viewport,True) # Get instance mappings instance_mappings = syn.helpers.get_instance_mappings() # Validate cone_im = instance_mappings[0] assert cone_im["uniqueId"] == 1 assert cone_im["name"] == "/World/Cone" assert cone_im["semanticId"] == 1 assert cone_im["semanticLabel"] == "Je ne suis pas un cone." # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/helpers/__init__.py
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/helpers/test_bboxes.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import math import asyncio from time import time import carb import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import Sdf, UsdGeom, Vt # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestBBoxes(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): await omni.usd.get_context().new_stage_async() # Setup viewport self.viewport = get_active_viewport() await omni.usd.get_context().new_stage_async() self.stage = omni.usd.get_context().get_stage() prim = self.stage.DefinePrim("/World", "Xform") self.stage.SetDefaultPrim(prim) marked_cube = self.stage.DefinePrim("/World/MarkedCube0", "Cube") add_semantics(marked_cube, "cube") marked_cube.GetAttribute("size").Set(100) UsdGeom.XformCommonAPI(marked_cube).SetTranslate((3, 3, 0)) unmarked_cube = self.stage.DefinePrim("/World/UnmarkedCube", "Cube") unmarked_cube.GetAttribute("size").Set(100) UsdGeom.XformCommonAPI(unmarked_cube).SetTranslate((3, 3, -100)) await omni.kit.app.get_app().next_update_async() syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.BoundingBox2DLoose]) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.BoundingBox2DTight]) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.BoundingBox3D]) syn.sensors.enable_sensors(self.viewport, [syn._syntheticdata.SensorType.Occlusion]) async def test_reduce_bboxes_3d(self): """Verify that reduce_bboxes_3d removes a cube without a semantic label""" # Render one frame await syn.sensors.next_sensor_data_async(self.viewport,True) # Get 3D bbox bbox = syn.sensors.get_bounding_box_3d(self.viewport, return_corners=True) assert np.allclose(bbox["z_min"], [-50, -50]) # Transform of unmarked cube should be included in pre-reduced bbox but not included in reduced bbox UNMARKED_CUBE_GT = [[[1.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [3.0, 3.0, -100.0, 1.0]]] assert np.allclose(bbox["transform"][0], UNMARKED_CUBE_GT) or np.allclose( bbox["transform"][1], UNMARKED_CUBE_GT ) instance_mappings = syn.helpers.get_instance_mappings() bbox_reduced = syn.helpers.reduce_bboxes_3d(bbox, instance_mappings) assert np.allclose(bbox_reduced["z_min"], [-50]) assert np.allclose( bbox_reduced["transform"], [[[1.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [3.0, 3.0, 0.0, 1.0]]], ) async def test_reduce_occlusion(self): """Verify that reduce_occlusion removes a cube without a semantic label""" # Add an extra cube cube = self.stage.DefinePrim("/World/MarkedCube1", "Cube") add_semantics(cube, "cube") cube.GetAttribute("size").Set(100) UsdGeom.XformCommonAPI(cube).SetTranslate((3, -10, 0)) # Render one frame await syn.sensors.next_sensor_data_async(self.viewport, True) # Get occlusion occlusion = syn.sensors.get_occlusion(self.viewport) occlusion_ratios = np.sort(occlusion["occlusionRatio"]) assert np.allclose(occlusion_ratios, [0.0327, 0.38059998, 0.8886], atol=0.05) instance_mappings = syn.helpers.get_instance_mappings() reduced_occlusion = syn.helpers.reduce_occlusion(occlusion, instance_mappings) reduced_occlusion_ratios = np.sort(reduced_occlusion["occlusionRatio"]) assert np.allclose(reduced_occlusion_ratios, [0.0327, 0.8886], atol=0.05) async def test_merge_sensors(self): """Verify that merge_sensors merges the data correctly""" # Render one frame await syn.sensors.next_sensor_data_async(self.viewport, True) # Get bounding boxes and merge bounding_box_2d_tight = syn.sensors.get_bounding_box_2d_tight(self.viewport) bounding_box_2d_loose = syn.sensors.get_bounding_box_2d_loose(self.viewport) bounding_box_3d = syn.sensors.get_bounding_box_3d(self.viewport, parsed=True) merged_data = syn.helpers.merge_sensors(bounding_box_2d_tight, bounding_box_2d_loose, bounding_box_3d) for suffix, data_source in [ ("_bbox2d_tight", bounding_box_2d_tight), ("_bbox2d_loose", bounding_box_2d_loose), ("_bbox3d", bounding_box_3d), ]: suffix_present = False for key in merged_data.dtype.fields: if key.endswith(suffix): sub_key = key[: -len(suffix)] assert merged_data[key] == data_source[key] suffix_present = True assert suffix_present # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/visualize/test_warp_post_vis.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import unittest import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage from ..utils import add_semantics class TestWarpPostVisualization(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) async def setUp(self): # Setup the scene await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule0_prim = stage.DefinePrim("/World/Capsule0", "Capsule") add_semantics(capsule0_prim, "capsule_0") UsdGeom.Xformable(capsule0_prim).AddTranslateOp().Set((100, 0, 0)) UsdGeom.Xformable(capsule0_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule0_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule0_prim.GetAttribute("primvars:displayColor").Set([(0.3, 1, 0)]) capsule1_prim = stage.DefinePrim("/World/Capsule1", "Capsule") add_semantics(capsule0_prim, "capsule_1") UsdGeom.Xformable(capsule1_prim).AddTranslateOp().Set((-100, 0, 0)) UsdGeom.Xformable(capsule1_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule1_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule1_prim.GetAttribute("primvars:displayColor").Set([(0, 1, 0.3)]) spherelight = UsdLux.SphereLight.Define(stage, "/SphereLight") spherelight.GetIntensityAttr().Set(30000) spherelight.GetRadiusAttr().Set(30) # Setup viewports / renderproduct vp_iface = omni.kit.viewport_legacy.get_viewport_interface() viewport = vp_iface.get_viewport_window() render_product_path = viewport.get_render_product_path() # SyntheticData singleton interface sdg_iface = SyntheticData.Get() if not sdg_iface.is_node_template_registered("TestWarpPostVisualization"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node tempalte stage "omni.syntheticdata.SdTestWarpPostVisulation", # node template type # node template connections [ SyntheticData.NodeConnectionTemplate("LdrColorSDExportRawArray"), ]), template_name="TestWarpPostVisualization" # node template name ) if not sdg_iface.is_node_template_registered("TestWarpPostVisualizationDisplay"): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node tempalte stage "omni.syntheticdata.SdLinearArrayToTexture", # node template type # node template connections [ SyntheticData.NodeConnectionTemplate("TestWarpPostVisualization"), ]), template_name="TestWarpPostVisualizationDisplay" # node template name ) sdg_iface.activate_node_template("TestWarpPostVisualizationDisplay", 0, [render_product_path]) self.numLoops = 100 async def run_loop(self): # ensuring that the setup is taken into account for _ in range(5): await omni.kit.app.get_app().next_update_async() for _ in range(self.numLoops): await omni.kit.app.get_app().next_update_async() async def test_display(self): """ Test display """ await self.run_loop() async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/visualize/test_post_vis.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import unittest import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage from ..utils import add_semantics class TestPostVisualization(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) def activate_post_vis(self,render_product_path, render_var): sdg_iface = SyntheticData.Get() render_var_post_display = "Test" + render_var + "PostDisplay" if not sdg_iface.is_node_template_registered(render_var_post_display): sdg_iface.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.ON_DEMAND, # node tempalte stage "omni.syntheticdata.SdLinearArrayToTexture", # node template type # node template connections [ SyntheticData.NodeConnectionTemplate(render_var), ]), template_name=render_var_post_display ) sdg_iface.activate_node_template(render_var_post_display, 0, [render_product_path]) async def setUp(self): # Setup the scene await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() world_prim = UsdGeom.Xform.Define(stage,"/World") UsdGeom.Xformable(world_prim).AddTranslateOp().Set((0, 0, 0)) UsdGeom.Xformable(world_prim).AddRotateXYZOp().Set((0, 0, 0)) capsule0_prim = stage.DefinePrim("/World/Capsule0", "Capsule") add_semantics(capsule0_prim, "capsule_0") UsdGeom.Xformable(capsule0_prim).AddTranslateOp().Set((100, 0, 0)) UsdGeom.Xformable(capsule0_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule0_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule0_prim.GetAttribute("primvars:displayColor").Set([(0.3, 1, 0)]) capsule1_prim = stage.DefinePrim("/World/Capsule1", "Capsule") add_semantics(capsule0_prim, "capsule_1") UsdGeom.Xformable(capsule1_prim).AddTranslateOp().Set((-100, 0, 0)) UsdGeom.Xformable(capsule1_prim).AddScaleOp().Set((30, 30, 30)) UsdGeom.Xformable(capsule1_prim).AddRotateXYZOp().Set((-90, 0, 0)) capsule1_prim.GetAttribute("primvars:displayColor").Set([(0, 1, 0.3)]) spherelight = UsdLux.SphereLight.Define(stage, "/SphereLight") spherelight.GetIntensityAttr().Set(30000) spherelight.GetRadiusAttr().Set(30) # Setup viewports / renderproduct vp_iface = omni.kit.viewport_legacy.get_viewport_interface() viewport = vp_iface.get_viewport_window() render_product_path = viewport.get_render_product_path() self.activate_post_vis("LdrColorSD") self.numLoops = 100 async def run_loop(self): # ensuring that the setup is taken into account for _ in range(5): await omni.kit.app.get_app().next_update_async() for _ in range(self.numLoops): await omni.kit.app.get_app().next_update_async() async def test_display(self): """ Test display """ await self.run_loop() async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/visualize/test_semantic_seg.py
# NOTE: # omni.kit.test - std python's unittest module with additional wrapping to add suport for async/await tests # For most things refer to unittest docs: https://docs.python.org/3/library/unittest.html import os import numpy as np import omni.kit.test from omni.kit.viewport.utility import get_active_viewport from pxr import UsdGeom # Import extension python module we are testing with absolute import path, as if we are external user (other extension) import omni.syntheticdata as syn from ..utils import add_semantics FILE_DIR = os.path.dirname(os.path.realpath(__file__)) TIMEOUT = 50 # Having a test class derived from omni.kit.test.AsyncTestCase declared on the root of module will make it auto-discoverable by omni.kit.test class TestSemanticSegVis(omni.kit.test.AsyncTestCase): # Before running each test async def setUp(self): np.random.seed(1234) # Setup viewport self.viewport = get_active_viewport() # Initialize Sensor await omni.usd.get_context().new_stage_async() stage = omni.usd.get_context().get_stage() await omni.kit.app.get_app().next_update_async() syn.sensors.enable_sensors( self.viewport, [syn._syntheticdata.SensorType.SemanticSegmentation, syn._syntheticdata.SensorType.InstanceSegmentation], ) async def test_parsed_empty(self): """ Test semantic segmentation returns zero array with empty scene """ await syn.sensors.next_sensor_data_async(self.viewport, True) data = syn.visualize.get_semantic_segmentation(self.viewport, mode="parsed") assert np.array_equal(data, np.zeros_like(data).astype(np.uint8)) async def test_number_of_classes(self): """ Test that number of classes in output matches number of classes in scene """ stage = omni.usd.get_context().get_stage() cube = stage.DefinePrim("/Cube1", "Cube") add_semantics(cube, "cube1") UsdGeom.Xformable(cube).AddTranslateOp().Set((0, 10, 0)) cube = stage.DefinePrim("/Cube2", "Cube") add_semantics(cube, "cube2") UsdGeom.Xformable(cube).AddTranslateOp().Set((0, -10, 0)) await syn.sensors.next_sensor_data_async(self.viewport, True) data = syn.visualize.get_semantic_segmentation(self.viewport, mode="parsed") data_non_bkg = data[data.sum(axis=-1) != 0] # Remove background, encoded as (0, 0, 0, 0) assert len(np.unique(data_non_bkg, axis=0)) == 2 # After running each test async def tearDown(self): pass
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/graph/test_graph_manipulation.py
import carb from pxr import Gf, UsdGeom, UsdLux, Sdf import omni.hydratexture import omni.kit.test from omni.syntheticdata import SyntheticData, SyntheticDataStage # Test the instance mapping pipeline class TestGraphManipulation(omni.kit.test.AsyncTestCase): def __init__(self, methodName: str) -> None: super().__init__(methodName=methodName) def render_product_path(self, hydra_texture) -> str: '''Return a string to the UsdRender.Product used by the texture''' render_product = hydra_texture.get_render_product_path() if render_product and (not render_product.startswith('/')): render_product = '/Render/RenderProduct_' + render_product return render_product async def setUp(self): self._settings = carb.settings.acquire_settings_interface() self._hydra_texture_factory = omni.hydratexture.acquire_hydra_texture_factory_interface() self._usd_context_name = '' self._usd_context = omni.usd.get_context(self._usd_context_name) await self._usd_context.new_stage_async() self._stage = omni.usd.get_context().get_stage() # renderer renderer = "rtx" if renderer not in self._usd_context.get_attached_hydra_engine_names(): omni.usd.add_hydra_engine(renderer, self._usd_context) # create the hydra textures self._hydra_texture_0 = self._hydra_texture_factory.create_hydra_texture( "TEX0", 1920, 1080, self._usd_context_name, hydra_engine_name=renderer, is_async=self._settings.get("/app/asyncRendering") ) self._render_product_path_0 = self.render_product_path(self._hydra_texture_0) self._hydra_texture_rendered_counter = 0 def on_hydra_texture_0(event: carb.events.IEvent): self._hydra_texture_rendered_counter += 1 self._hydra_texture_rendered_counter_sub = self._hydra_texture_0.get_event_stream().create_subscription_to_push_by_type( omni.hydratexture.EVENT_TYPE_DRAWABLE_CHANGED, on_hydra_texture_0, name='async rendering test drawable update', ) async def tearDown(self): self._hydra_texture_rendered_counter_sub = None self._hydra_texture_0 = None self._usd_context.close_stage() omni.usd.release_all_hydra_engines(self._usd_context) self._hydra_texture_factory = None self._settings = None wait_iterations = 6 for _ in range(wait_iterations): await omni.kit.app.get_app().next_update_async() async def test_rendervar_enable(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.enable_rendervar(self._render_product_path_0, render_var, self._stage) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.disable_rendervar(self._render_product_path_0, render_var, self._stage) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) async def test_rendervar_auto_activation(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.activate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], {}, self._stage, True) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) isdg.deactivate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], self._stage, True) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) async def test_rendervar_manual_activation(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(not isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,False)) isdg.activate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], {}, self._stage, False) assert(isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,False)) assert(isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,True)) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.enable_rendervar(self._render_product_path_0, render_var, self._stage) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) isdg.deactivate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], self._stage, False) assert(not isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,True)) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.disable_rendervar(self._render_product_path_0, render_var, self._stage) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) async def test_rendervar_hybrid_activation(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.activate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], {}, self._stage, False) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.enable_rendervar(self._render_product_path_0, render_var, self._stage) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.deactivate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], self._stage, True) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) isdg.disable_rendervar(self._render_product_path_0, render_var, self._stage) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) async def test_rendervar_initially_activated(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.enable_rendervar(self._render_product_path_0, render_var, self._stage) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.activate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], {}, self._stage, True) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) isdg.deactivate_node_template("BoundingBox3DReduction",0, [self._render_product_path_0], self._stage, True) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.disable_rendervar(self._render_product_path_0, render_var, self._stage) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) async def test_rendervar_multiple_activation(self): isdg = SyntheticData.Get() render_var = "BoundingBox3DSD" if not isdg.is_node_template_registered("BoundingBox3DDisplayPostDuplicate"): isdg.register_node_template( SyntheticData.NodeTemplate( SyntheticDataStage.POST_RENDER, "omni.syntheticdata.SdPostRenderVarDisplayTexture", [ SyntheticData.NodeConnectionTemplate("LdrColorSD"), SyntheticData.NodeConnectionTemplate("Camera3dPositionSD"), SyntheticData.NodeConnectionTemplate("PostRenderProductCamera"), SyntheticData.NodeConnectionTemplate("InstanceMappingPost"), SyntheticData.NodeConnectionTemplate("BoundingBox3DReduction") ], { "inputs:renderVar": "LdrColorSD", "inputs:renderVarDisplay": "BoundingBox3DSDDisplay", "inputs:mode": "semanticBoundingBox3dMode", "inputs:parameters": [0.0, 5.0, 0.027, 0.27] } ), # node template default attribute values (when differs from the default value specified in the .ogn) template_name="BoundingBox3DDisplayPostDuplicate" # node template name ) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, False, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.activate_node_template("BoundingBox3DDisplayPost",0, [self._render_product_path_0], {}, self._stage, True) assert(not isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,True)) assert(isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,False)) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) isdg.activate_node_template("BoundingBox3DDisplayPostDuplicate",0, [self._render_product_path_0], {}, self._stage, True) isdg.deactivate_node_template("BoundingBox3DDisplayPost",0, [self._render_product_path_0], self._stage, True) assert(isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) assert(isdg.is_rendervar_used(self._render_product_path_0, render_var)) assert(not isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,True)) assert(isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,False)) isdg.deactivate_node_template("BoundingBox3DDisplayPostDuplicate",0, [self._render_product_path_0], self._stage, True) assert(not isdg.is_node_template_activated("BoundingBox3DReduction",self._render_product_path_0,False)) assert(not isdg.is_rendervar_enabled(self._render_product_path_0, render_var, True, self._stage)) assert(not isdg.is_rendervar_used(self._render_product_path_0, render_var))
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/OmniUe4-benchmark.usda
#usda 1.0 ( customLayerData = { dictionary audioSettings = { double dopplerLimit = 2 double dopplerScale = 1 token enableDoppler = "off" double nonSpatialTimeScale = 1 double spatialTimeScale = 1 double speedOfSound = 340 } dictionary cameraSettings = { dictionary Front = { double radius = 500 double3 target = (0, 0, 0) } dictionary Perspective = { double3 position = (-24.033213095504543, -12999.287136619847, 1.064741362676223) double3 target = (-28.947327053926287, -12864.479153751896, -24.096511278608087) } dictionary Right = { double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double radius = 500 double3 target = (0, 0, 0) } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { float "rtx:materialflattener:decalDistanceTolerance" = 1000 token "rtx:materialflattener:upAxis" = "z" float "rtx:post:lensDistortion:cameraFocalLength" = 18.147562 } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.009999999776482582 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Z" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateZYX = (49.25, 359.75, 0) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX"] } def Scope "Looks" { def Material "road_base" { token outputs:mdl:displacement.connect = </World/Looks/road_base/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/road_base/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/road_base/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @../ds2_materials/drivable_surfaces/general/road/road_base.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "road_base" float inputs:AlbedoMult = 1.75 ( customData = { float default = 2 } ) float inputs:Puddle_NoiseBlend = 0.2 ( customData = { float default = 1 } ) float inputs:RoughnessMult_Order2 = 0.5 ( customData = { float default = 1 } ) float inputs:RoughnessOffset_Order3 = 0 ( customData = { float default = -0.085716 } ) float inputs:RoughnessPow_Order1 = 0.5 ( customData = { float default = 1.5 } ) float inputs:WorldSpaceUVMult = 50 ( customData = { float default = 5000 } ) token outputs:out } } def Material "road_base_omniue4" { token outputs:mdl:displacement.connect = </World/Looks/road_base/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/road_base/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/road_base/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @../ds2_materials/drivable_surfaces/general/road/road_base_omniue4.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "road_base" float inputs:AlbedoMult = 1.75 ( customData = { float default = 2 } ) float inputs:Puddle_NoiseBlend = 0.2 ( customData = { float default = 1 } ) float inputs:RoughnessMult_Order2 = 0.5 ( customData = { float default = 1 } ) float inputs:RoughnessOffset_Order3 = 0 ( customData = { float default = -0.085716 } ) float inputs:RoughnessPow_Order1 = 0.5 ( customData = { float default = 1.5 } ) float inputs:WorldSpaceUVMult = 50 ( customData = { float default = 5000 } ) token outputs:out } } def Material "DrivesimPBR_LaneMarking" { token outputs:mdl:displacement.connect = </World/Looks/DrivesimPBR_LaneMarking/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/DrivesimPBR_LaneMarking/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/DrivesimPBR_LaneMarking/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @../ds2_materials/DrivesimPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "DrivesimPBR" float inputs:alpha_cutout_cutoff = 1 ( customData = { float default = 1 dictionary range = { float max = 1 float min = 0 } } displayGroup = "Alpha" displayName = "Alpha Cutout Cutoff" ) asset inputs:diffuse_texture = @../ds2_materials/drivable_surfaces/general/lanemarkings/lw/lw_basecolor.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Diffuse" displayName = "Albedo Map" ) bool inputs:enable_opacity = 0 ( customData = { bool default = 0 } displayGroup = "Alpha" displayName = "Enable Opacity" ) bool inputs:enable_opacity_cutout = 1 ( customData = { bool default = 0 } displayGroup = "Alpha" displayName = "Enable Alpha Cutout" ) asset inputs:normalmap_texture = @../ds2_materials/drivable_surfaces/general/lanemarkings/lw/lw_n.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Normal" displayName = "Normal Map" ) asset inputs:opacity_texture = @../ds2_materials/drivable_surfaces/general/lanemarkings/lw/lw_opacity.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Alpha" displayName = "Opacity Map" ) asset inputs:ORM_texture = @../ds2_materials/drivable_surfaces/general/lanemarkings/lw/lw_orm.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Reflectivity" displayName = "ORM Map" ) asset inputs:reflectionroughness_texture = @../ds2_materials/drivable_surfaces/general/lanemarkings/lw/lw_r.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Specular" displayName = "Roughness Map" ) float inputs:specular_constant = 1 ( customData = { float default = 1 dictionary range = { float max = 1 float min = 0 } } displayGroup = "Specular" displayName = "Specular amount" ) float2 inputs:texture_scale = (0.39999998, 115.7) ( customData = { float2 default = (1, 1) } displayGroup = "UV" displayName = "Texture Scale" ) token outputs:out } } def Material "DrivesimPBR" { token outputs:mdl:displacement.connect = </World/Looks/DrivesimPBR/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/DrivesimPBR/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/DrivesimPBR/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @../ds2_materials/DrivesimPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "DrivesimPBR" float inputs:ao_to_diffuse = 0 ( customData = { float default = 0 } displayGroup = "AO" displayName = "AO to Diffuse" ) asset inputs:diffuse_texture = @../ds2_materials/drivable_surfaces/general/asphalt/asphalt_base/asphalt_base_basecolor_ms.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Diffuse" displayName = "Albedo Map" ) bool inputs:enable_opacity = 0 ( customData = { bool default = 0 } displayGroup = "Alpha" displayName = "Enable Opacity" ) bool inputs:enable_ORM_texture = 1 ( customData = { bool default = 1 } displayGroup = "Reflectivity" displayName = "Enable ORM Texture" ) bool inputs:enable_retroreflection = 0 ( customData = { bool default = 0 } displayGroup = "Reflectivity" displayName = "Enable Retroreflection" ) asset inputs:normalmap_texture = @../ds2_materials/drivable_surfaces/general/asphalt/asphalt_base/asphalt_base_n_ms.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Normal" displayName = "Normal Map" ) asset inputs:ORM_texture = @../ds2_materials/drivable_surfaces/general/asphalt/asphalt_base/asphalt_base_orm_ms.png@ ( colorSpace = "auto" customData = { asset default = @@ } displayGroup = "Reflectivity" displayName = "ORM Map" ) token outputs:out } } def Material "OmniPBR" { token outputs:mdl:displacement.connect = </World/Looks/OmniPBR/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/OmniPBR/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/OmniPBR/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @OmniPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "OmniPBR" token outputs:out } } def Material "DrivesimPBR_01" { token outputs:mdl:displacement.connect = </World/Looks/DrivesimPBR_01/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/DrivesimPBR_01/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/DrivesimPBR_01/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @E:/material-flattening-assets/ds2_materials/DrivesimPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "DrivesimPBR" token outputs:out } } def Material "DrivesimPBR_2" { token outputs:mdl:displacement.connect = </World/Looks/DrivesimPBR_2/Shader.outputs:out> token outputs:mdl:surface.connect = </World/Looks/DrivesimPBR_2/Shader.outputs:out> token outputs:mdl:volume.connect = </World/Looks/DrivesimPBR_2/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @../ds2_materials/DrivesimPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "DrivesimPBR" token outputs:out } } } def "road_base" ( prepend references = @../ds2_materials/drivable_surfaces/general/road/road_base.usda@ ) { float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (-118.774872, -116.608191, -1723.065986) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Xform "road_omniue4" ( prepend references = @maya2_atlas_road_tile_237_01.usd2.usda@ ) { float3 xformOp:rotateZYX = (-0, 0, -0) float3 xformOp:scale = (1, 120.700005, 1) double3 xformOp:translate = (0, -45001, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] over "SceneNode" { over "Tile_0_0Node" { over "RoadsNode" { over "Road_RoadNode" { over "Road_Road_Layer0Node" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] ) { rel material:binding = </World/Looks/road_base> ( bindMaterialAs = "weakerThanDescendants" ) string semantic:Semantics:params:semanticData = "road" string semantic:Semantics:params:semanticType = "class" float3 xformOp:rotateXYZ = (90, -0, 0) float3 xformOp:scale = (0.9999998, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } } } } } def Mesh "Plane" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] ) { int[] faceVertexCounts = [4] int[] faceVertexIndices = [0, 1, 3, 2] rel material:binding = </World/Looks/DrivesimPBR_LaneMarking> ( bindMaterialAs = "weakerThanDescendants" ) normal3f[] normals = [(0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, 0), (50, -50, 0), (-50, 50, 0), (50, 50, 0)] bool primvars:isDecal = 1 bool primvars:materialFlattening_isDecal = 1 float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "lane" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" token visibility = "inherited" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (0.005, 50, 1) double3 xformOp:translate = (-24, -10497, 0.1) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/torus_sphere.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 50000) double radius = 500 } dictionary Perspective = { double3 position = (500, 500, 500) double3 target = (-0.0000039780385918675165, 0.00000795607684267452, -0.000003978038364493841) } dictionary Right = { double3 position = (-50000, 0, 0) double radius = 500 } dictionary Top = { double3 position = (0, 50000, 0) double radius = 467.708984375 } string boundCamera = "/OmniverseKit_Front" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { float3 "rtx:debugView:pixelDebug:textColor" = (0, 1e18, 0) float3 "rtx:dynamicDiffuseGI:probeCounts" = (6, 6, 6) float3 "rtx:dynamicDiffuseGI:probeGridOrigin" = (-210, -250, -10) float3 "rtx:dynamicDiffuseGI:volumeSize" = (600, 440, 300) float3 "rtx:fog:fogColor" = (0.75, 0.75, 0.75) float3 "rtx:raytracing:inscattering:singleScatteringAlbedo" = (0.9, 0.9, 0.9) float3 "rtx:raytracing:inscattering:transmittanceColor" = (0.5, 0.5, 0.5) token "rtx:rendermode" = "PathTracing" float3 "rtx:sceneDb:ambientLightColor" = (0.1, 0.1, 0.1) } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.01 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def Mesh "Torus" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 33, 34, 1, 1, 34, 35, 2, 2, 35, 36, 3, 3, 36, 37, 4, 4, 37, 38, 5, 5, 38, 39, 6, 6, 39, 40, 7, 7, 40, 41, 8, 8, 41, 42, 9, 9, 42, 43, 10, 10, 43, 44, 11, 11, 44, 45, 12, 12, 45, 46, 13, 13, 46, 47, 14, 14, 47, 48, 15, 15, 48, 49, 16, 16, 49, 50, 17, 17, 50, 51, 18, 18, 51, 52, 19, 19, 52, 53, 20, 20, 53, 54, 21, 21, 54, 55, 22, 22, 55, 56, 23, 23, 56, 57, 24, 24, 57, 58, 25, 25, 58, 59, 26, 26, 59, 60, 27, 27, 60, 61, 28, 28, 61, 62, 29, 29, 62, 63, 30, 30, 63, 64, 31, 31, 64, 65, 32, 32, 65, 33, 0, 33, 66, 67, 34, 34, 67, 68, 35, 35, 68, 69, 36, 36, 69, 70, 37, 37, 70, 71, 38, 38, 71, 72, 39, 39, 72, 73, 40, 40, 73, 74, 41, 41, 74, 75, 42, 42, 75, 76, 43, 43, 76, 77, 44, 44, 77, 78, 45, 45, 78, 79, 46, 46, 79, 80, 47, 47, 80, 81, 48, 48, 81, 82, 49, 49, 82, 83, 50, 50, 83, 84, 51, 51, 84, 85, 52, 52, 85, 86, 53, 53, 86, 87, 54, 54, 87, 88, 55, 55, 88, 89, 56, 56, 89, 90, 57, 57, 90, 91, 58, 58, 91, 92, 59, 59, 92, 93, 60, 60, 93, 94, 61, 61, 94, 95, 62, 62, 95, 96, 63, 63, 96, 97, 64, 64, 97, 98, 65, 65, 98, 66, 33, 66, 99, 100, 67, 67, 100, 101, 68, 68, 101, 102, 69, 69, 102, 103, 70, 70, 103, 104, 71, 71, 104, 105, 72, 72, 105, 106, 73, 73, 106, 107, 74, 74, 107, 108, 75, 75, 108, 109, 76, 76, 109, 110, 77, 77, 110, 111, 78, 78, 111, 112, 79, 79, 112, 113, 80, 80, 113, 114, 81, 81, 114, 115, 82, 82, 115, 116, 83, 83, 116, 117, 84, 84, 117, 118, 85, 85, 118, 119, 86, 86, 119, 120, 87, 87, 120, 121, 88, 88, 121, 122, 89, 89, 122, 123, 90, 90, 123, 124, 91, 91, 124, 125, 92, 92, 125, 126, 93, 93, 126, 127, 94, 94, 127, 128, 95, 95, 128, 129, 96, 96, 129, 130, 97, 97, 130, 131, 98, 98, 131, 99, 66, 99, 132, 133, 100, 100, 133, 134, 101, 101, 134, 135, 102, 102, 135, 136, 103, 103, 136, 137, 104, 104, 137, 138, 105, 105, 138, 139, 106, 106, 139, 140, 107, 107, 140, 141, 108, 108, 141, 142, 109, 109, 142, 143, 110, 110, 143, 144, 111, 111, 144, 145, 112, 112, 145, 146, 113, 113, 146, 147, 114, 114, 147, 148, 115, 115, 148, 149, 116, 116, 149, 150, 117, 117, 150, 151, 118, 118, 151, 152, 119, 119, 152, 153, 120, 120, 153, 154, 121, 121, 154, 155, 122, 122, 155, 156, 123, 123, 156, 157, 124, 124, 157, 158, 125, 125, 158, 159, 126, 126, 159, 160, 127, 127, 160, 161, 128, 128, 161, 162, 129, 129, 162, 163, 130, 130, 163, 164, 131, 131, 164, 132, 99, 132, 165, 166, 133, 133, 166, 167, 134, 134, 167, 168, 135, 135, 168, 169, 136, 136, 169, 170, 137, 137, 170, 171, 138, 138, 171, 172, 139, 139, 172, 173, 140, 140, 173, 174, 141, 141, 174, 175, 142, 142, 175, 176, 143, 143, 176, 177, 144, 144, 177, 178, 145, 145, 178, 179, 146, 146, 179, 180, 147, 147, 180, 181, 148, 148, 181, 182, 149, 149, 182, 183, 150, 150, 183, 184, 151, 151, 184, 185, 152, 152, 185, 186, 153, 153, 186, 187, 154, 154, 187, 188, 155, 155, 188, 189, 156, 156, 189, 190, 157, 157, 190, 191, 158, 158, 191, 192, 159, 159, 192, 193, 160, 160, 193, 194, 161, 161, 194, 195, 162, 162, 195, 196, 163, 163, 196, 197, 164, 164, 197, 165, 132, 165, 198, 199, 166, 166, 199, 200, 167, 167, 200, 201, 168, 168, 201, 202, 169, 169, 202, 203, 170, 170, 203, 204, 171, 171, 204, 205, 172, 172, 205, 206, 173, 173, 206, 207, 174, 174, 207, 208, 175, 175, 208, 209, 176, 176, 209, 210, 177, 177, 210, 211, 178, 178, 211, 212, 179, 179, 212, 213, 180, 180, 213, 214, 181, 181, 214, 215, 182, 182, 215, 216, 183, 183, 216, 217, 184, 184, 217, 218, 185, 185, 218, 219, 186, 186, 219, 220, 187, 187, 220, 221, 188, 188, 221, 222, 189, 189, 222, 223, 190, 190, 223, 224, 191, 191, 224, 225, 192, 192, 225, 226, 193, 193, 226, 227, 194, 194, 227, 228, 195, 195, 228, 229, 196, 196, 229, 230, 197, 197, 230, 198, 165, 198, 231, 232, 199, 199, 232, 233, 200, 200, 233, 234, 201, 201, 234, 235, 202, 202, 235, 236, 203, 203, 236, 237, 204, 204, 237, 238, 205, 205, 238, 239, 206, 206, 239, 240, 207, 207, 240, 241, 208, 208, 241, 242, 209, 209, 242, 243, 210, 210, 243, 244, 211, 211, 244, 245, 212, 212, 245, 246, 213, 213, 246, 247, 214, 214, 247, 248, 215, 215, 248, 249, 216, 216, 249, 250, 217, 217, 250, 251, 218, 218, 251, 252, 219, 219, 252, 253, 220, 220, 253, 254, 221, 221, 254, 255, 222, 222, 255, 256, 223, 223, 256, 257, 224, 224, 257, 258, 225, 225, 258, 259, 226, 226, 259, 260, 227, 227, 260, 261, 228, 228, 261, 262, 229, 229, 262, 263, 230, 230, 263, 231, 198, 231, 264, 265, 232, 232, 265, 266, 233, 233, 266, 267, 234, 234, 267, 268, 235, 235, 268, 269, 236, 236, 269, 270, 237, 237, 270, 271, 238, 238, 271, 272, 239, 239, 272, 273, 240, 240, 273, 274, 241, 241, 274, 275, 242, 242, 275, 276, 243, 243, 276, 277, 244, 244, 277, 278, 245, 245, 278, 279, 246, 246, 279, 280, 247, 247, 280, 281, 248, 248, 281, 282, 249, 249, 282, 283, 250, 250, 283, 284, 251, 251, 284, 285, 252, 252, 285, 286, 253, 253, 286, 287, 254, 254, 287, 288, 255, 255, 288, 289, 256, 256, 289, 290, 257, 257, 290, 291, 258, 258, 291, 292, 259, 259, 292, 293, 260, 260, 293, 294, 261, 261, 294, 295, 262, 262, 295, 296, 263, 263, 296, 264, 231, 264, 297, 298, 265, 265, 298, 299, 266, 266, 299, 300, 267, 267, 300, 301, 268, 268, 301, 302, 269, 269, 302, 303, 270, 270, 303, 304, 271, 271, 304, 305, 272, 272, 305, 306, 273, 273, 306, 307, 274, 274, 307, 308, 275, 275, 308, 309, 276, 276, 309, 310, 277, 277, 310, 311, 278, 278, 311, 312, 279, 279, 312, 313, 280, 280, 313, 314, 281, 281, 314, 315, 282, 282, 315, 316, 283, 283, 316, 317, 284, 284, 317, 318, 285, 285, 318, 319, 286, 286, 319, 320, 287, 287, 320, 321, 288, 288, 321, 322, 289, 289, 322, 323, 290, 290, 323, 324, 291, 291, 324, 325, 292, 292, 325, 326, 293, 293, 326, 327, 294, 294, 327, 328, 295, 295, 328, 329, 296, 296, 329, 297, 264, 297, 330, 331, 298, 298, 331, 332, 299, 299, 332, 333, 300, 300, 333, 334, 301, 301, 334, 335, 302, 302, 335, 336, 303, 303, 336, 337, 304, 304, 337, 338, 305, 305, 338, 339, 306, 306, 339, 340, 307, 307, 340, 341, 308, 308, 341, 342, 309, 309, 342, 343, 310, 310, 343, 344, 311, 311, 344, 345, 312, 312, 345, 346, 313, 313, 346, 347, 314, 314, 347, 348, 315, 315, 348, 349, 316, 316, 349, 350, 317, 317, 350, 351, 318, 318, 351, 352, 319, 319, 352, 353, 320, 320, 353, 354, 321, 321, 354, 355, 322, 322, 355, 356, 323, 323, 356, 357, 324, 324, 357, 358, 325, 325, 358, 359, 326, 326, 359, 360, 327, 327, 360, 361, 328, 328, 361, 362, 329, 329, 362, 330, 297, 330, 363, 364, 331, 331, 364, 365, 332, 332, 365, 366, 333, 333, 366, 367, 334, 334, 367, 368, 335, 335, 368, 369, 336, 336, 369, 370, 337, 337, 370, 371, 338, 338, 371, 372, 339, 339, 372, 373, 340, 340, 373, 374, 341, 341, 374, 375, 342, 342, 375, 376, 343, 343, 376, 377, 344, 344, 377, 378, 345, 345, 378, 379, 346, 346, 379, 380, 347, 347, 380, 381, 348, 348, 381, 382, 349, 349, 382, 383, 350, 350, 383, 384, 351, 351, 384, 385, 352, 352, 385, 386, 353, 353, 386, 387, 354, 354, 387, 388, 355, 355, 388, 389, 356, 356, 389, 390, 357, 357, 390, 391, 358, 358, 391, 392, 359, 359, 392, 393, 360, 360, 393, 394, 361, 361, 394, 395, 362, 362, 395, 363, 330, 363, 396, 397, 364, 364, 397, 398, 365, 365, 398, 399, 366, 366, 399, 400, 367, 367, 400, 401, 368, 368, 401, 402, 369, 369, 402, 403, 370, 370, 403, 404, 371, 371, 404, 405, 372, 372, 405, 406, 373, 373, 406, 407, 374, 374, 407, 408, 375, 375, 408, 409, 376, 376, 409, 410, 377, 377, 410, 411, 378, 378, 411, 412, 379, 379, 412, 413, 380, 380, 413, 414, 381, 381, 414, 415, 382, 382, 415, 416, 383, 383, 416, 417, 384, 384, 417, 418, 385, 385, 418, 419, 386, 386, 419, 420, 387, 387, 420, 421, 388, 388, 421, 422, 389, 389, 422, 423, 390, 390, 423, 424, 391, 391, 424, 425, 392, 392, 425, 426, 393, 393, 426, 427, 394, 394, 427, 428, 395, 395, 428, 396, 363, 396, 429, 430, 397, 397, 430, 431, 398, 398, 431, 432, 399, 399, 432, 433, 400, 400, 433, 434, 401, 401, 434, 435, 402, 402, 435, 436, 403, 403, 436, 437, 404, 404, 437, 438, 405, 405, 438, 439, 406, 406, 439, 440, 407, 407, 440, 441, 408, 408, 441, 442, 409, 409, 442, 443, 410, 410, 443, 444, 411, 411, 444, 445, 412, 412, 445, 446, 413, 413, 446, 447, 414, 414, 447, 448, 415, 415, 448, 449, 416, 416, 449, 450, 417, 417, 450, 451, 418, 418, 451, 452, 419, 419, 452, 453, 420, 420, 453, 454, 421, 421, 454, 455, 422, 422, 455, 456, 423, 423, 456, 457, 424, 424, 457, 458, 425, 425, 458, 459, 426, 426, 459, 460, 427, 427, 460, 461, 428, 428, 461, 429, 396, 429, 462, 463, 430, 430, 463, 464, 431, 431, 464, 465, 432, 432, 465, 466, 433, 433, 466, 467, 434, 434, 467, 468, 435, 435, 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518, 519, 486, 486, 519, 520, 487, 487, 520, 521, 488, 488, 521, 522, 489, 489, 522, 523, 490, 490, 523, 524, 491, 491, 524, 525, 492, 492, 525, 526, 493, 493, 526, 527, 494, 494, 527, 495, 462, 495, 528, 529, 496, 496, 529, 530, 497, 497, 530, 531, 498, 498, 531, 532, 499, 499, 532, 533, 500, 500, 533, 534, 501, 501, 534, 535, 502, 502, 535, 536, 503, 503, 536, 537, 504, 504, 537, 538, 505, 505, 538, 539, 506, 506, 539, 540, 507, 507, 540, 541, 508, 508, 541, 542, 509, 509, 542, 543, 510, 510, 543, 544, 511, 511, 544, 545, 512, 512, 545, 546, 513, 513, 546, 547, 514, 514, 547, 548, 515, 515, 548, 549, 516, 516, 549, 550, 517, 517, 550, 551, 518, 518, 551, 552, 519, 519, 552, 553, 520, 520, 553, 554, 521, 521, 554, 555, 522, 522, 555, 556, 523, 523, 556, 557, 524, 524, 557, 558, 525, 525, 558, 559, 526, 526, 559, 560, 527, 527, 560, 528, 495, 528, 561, 562, 529, 529, 562, 563, 530, 530, 563, 564, 531, 531, 564, 565, 532, 532, 565, 566, 533, 533, 566, 567, 534, 534, 567, 568, 535, 535, 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1017, 984, 984, 1017, 1018, 985, 985, 1018, 1019, 986, 986, 1019, 1020, 987, 987, 1020, 1021, 988, 988, 1021, 1022, 989, 989, 1022, 990, 957, 990, 1023, 1024, 991, 991, 1024, 1025, 992, 992, 1025, 1026, 993, 993, 1026, 1027, 994, 994, 1027, 1028, 995, 995, 1028, 1029, 996, 996, 1029, 1030, 997, 997, 1030, 1031, 998, 998, 1031, 1032, 999, 999, 1032, 1033, 1000, 1000, 1033, 1034, 1001, 1001, 1034, 1035, 1002, 1002, 1035, 1036, 1003, 1003, 1036, 1037, 1004, 1004, 1037, 1038, 1005, 1005, 1038, 1039, 1006, 1006, 1039, 1040, 1007, 1007, 1040, 1041, 1008, 1008, 1041, 1042, 1009, 1009, 1042, 1043, 1010, 1010, 1043, 1044, 1011, 1011, 1044, 1045, 1012, 1012, 1045, 1046, 1013, 1013, 1046, 1047, 1014, 1014, 1047, 1048, 1015, 1015, 1048, 1049, 1016, 1016, 1049, 1050, 1017, 1017, 1050, 1051, 1018, 1018, 1051, 1052, 1019, 1019, 1052, 1053, 1020, 1020, 1053, 1054, 1021, 1021, 1054, 1055, 1022, 1022, 1055, 1023, 990, 1023, 1056, 1057, 1024, 1024, 1057, 1058, 1025, 1025, 1058, 1059, 1026, 1026, 1059, 1060, 1027, 1027, 1060, 1061, 1028, 1028, 1061, 1062, 1029, 1029, 1062, 1063, 1030, 1030, 1063, 1064, 1031, 1031, 1064, 1065, 1032, 1032, 1065, 1066, 1033, 1033, 1066, 1067, 1034, 1034, 1067, 1068, 1035, 1035, 1068, 1069, 1036, 1036, 1069, 1070, 1037, 1037, 1070, 1071, 1038, 1038, 1071, 1072, 1039, 1039, 1072, 1073, 1040, 1040, 1073, 1074, 1041, 1041, 1074, 1075, 1042, 1042, 1075, 1076, 1043, 1043, 1076, 1077, 1044, 1044, 1077, 1078, 1045, 1045, 1078, 1079, 1046, 1046, 1079, 1080, 1047, 1047, 1080, 1081, 1048, 1048, 1081, 1082, 1049, 1049, 1082, 1083, 1050, 1050, 1083, 1084, 1051, 1051, 1084, 1085, 1052, 1052, 1085, 1086, 1053, 1053, 1086, 1087, 1054, 1054, 1087, 1088, 1055, 1055, 1088, 1056, 1023, 1056, 0, 1, 1057, 1057, 1, 2, 1058, 1058, 2, 3, 1059, 1059, 3, 4, 1060, 1060, 4, 5, 1061, 1061, 5, 6, 1062, 1062, 6, 7, 1063, 1063, 7, 8, 1064, 1064, 8, 9, 1065, 1065, 9, 10, 1066, 1066, 10, 11, 1067, 1067, 11, 12, 1068, 1068, 12, 13, 1069, 1069, 13, 14, 1070, 1070, 14, 15, 1071, 1071, 15, 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0.9687403), (0.2500075, 0.9687403), (0.2500075, 0.99999), (0.21875781, 0.99999), (0.21875781, 0.9687403), (0.21875781, 0.9687403), (0.21875781, 0.99999), (0.18750812, 0.99999), (0.18750812, 0.9687403), (0.18750812, 0.9687403), (0.18750812, 0.99999), (0.15625843, 0.99999), (0.15625843, 0.9687403), (0.15625843, 0.9687403), (0.15625843, 0.99999), (0.12500875, 0.99999), (0.12500875, 0.9687403), (0.12500875, 0.9687403), (0.12500875, 0.99999), (0.09375906, 0.99999), (0.09375906, 0.9687403), (0.09375906, 0.9687403), (0.09375906, 0.99999), (0.06250937, 0.99999), (0.06250937, 0.9687403), (0.06250937, 0.9687403), (0.06250937, 0.99999), (0.031259686, 0.99999), (0.031259686, 0.9687403), (0.031259686, 0.9687403), (0.031259686, 0.99999), (0.00001, 0.99999), (0.00001, 0.9687403), (0.00001, 0.9687403), (0.00001, 0.99999), (1, 0.99999), (1, 0.9687403), (1, 0.99999), (1, 1), (0.9687503, 1), (0.9687503, 0.99999), (0.9687503, 0.99999), (0.9687503, 1), (0.9375006, 1), (0.9375006, 0.99999), (0.9375006, 0.99999), (0.9375006, 1), (0.90625095, 1), (0.90625095, 0.99999), (0.90625095, 0.99999), (0.90625095, 1), (0.87500125, 1), (0.87500125, 0.99999), (0.87500125, 0.99999), (0.87500125, 1), (0.84375155, 1), (0.84375155, 0.99999), (0.84375155, 0.99999), (0.84375155, 1), (0.81250185, 1), (0.81250185, 0.99999), (0.81250185, 0.99999), (0.81250185, 1), (0.7812522, 1), (0.7812522, 0.99999), (0.7812522, 0.99999), (0.7812522, 1), (0.7500025, 1), (0.7500025, 0.99999), (0.7500025, 0.99999), (0.7500025, 1), (0.7187528, 1), (0.7187528, 0.99999), (0.7187528, 0.99999), (0.7187528, 1), (0.6875031, 1), (0.6875031, 0.99999), (0.6875031, 0.99999), (0.6875031, 1), (0.65625346, 1), (0.65625346, 0.99999), (0.65625346, 0.99999), (0.65625346, 1), (0.62500376, 1), (0.62500376, 0.99999), (0.62500376, 0.99999), (0.62500376, 1), (0.59375405, 1), (0.59375405, 0.99999), (0.59375405, 0.99999), (0.59375405, 1), (0.56250435, 1), (0.56250435, 0.99999), (0.56250435, 0.99999), (0.56250435, 1), (0.5312547, 1), (0.5312547, 0.99999), (0.5312547, 0.99999), (0.5312547, 1), (0.500005, 1), (0.500005, 0.99999), (0.500005, 0.99999), (0.500005, 1), (0.4687553, 1), (0.4687553, 0.99999), (0.4687553, 0.99999), (0.4687553, 1), (0.43750563, 1), (0.43750563, 0.99999), (0.43750563, 0.99999), (0.43750563, 1), (0.40625593, 1), (0.40625593, 0.99999), (0.40625593, 0.99999), (0.40625593, 1), (0.37500626, 1), (0.37500626, 0.99999), (0.37500626, 0.99999), (0.37500626, 1), (0.34375656, 1), (0.34375656, 0.99999), (0.34375656, 0.99999), (0.34375656, 1), (0.31250688, 1), (0.31250688, 0.99999), (0.31250688, 0.99999), (0.31250688, 1), (0.28125718, 1), (0.28125718, 0.99999), (0.28125718, 0.99999), (0.28125718, 1), (0.2500075, 1), (0.2500075, 0.99999), (0.2500075, 0.99999), (0.2500075, 1), (0.21875781, 1), (0.21875781, 0.99999), (0.21875781, 0.99999), (0.21875781, 1), (0.18750812, 1), (0.18750812, 0.99999), (0.18750812, 0.99999), (0.18750812, 1), (0.15625843, 1), (0.15625843, 0.99999), (0.15625843, 0.99999), (0.15625843, 1), (0.12500875, 1), (0.12500875, 0.99999), (0.12500875, 0.99999), (0.12500875, 1), (0.09375906, 1), (0.09375906, 0.99999), (0.09375906, 0.99999), (0.09375906, 1), (0.06250937, 1), (0.06250937, 0.99999), (0.06250937, 0.99999), (0.06250937, 1), (0.031259686, 1), (0.031259686, 0.99999), (0.031259686, 0.99999), (0.031259686, 1), (0.00001, 1), (0.00001, 0.99999), (0.00001, 0.99999), (0.00001, 1), (1, 1), (1, 0.99999)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "Sphere" { int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [0, 1, 2, 0, 2, 3, 0, 3, 4, 0, 4, 5, 0, 5, 6, 0, 6, 7, 0, 7, 8, 0, 8, 9, 0, 9, 10, 0, 10, 11, 0, 11, 12, 0, 12, 13, 0, 13, 14, 0, 14, 15, 0, 15, 16, 0, 16, 17, 0, 17, 18, 0, 18, 19, 0, 19, 20, 0, 20, 21, 0, 21, 22, 0, 22, 23, 0, 23, 24, 0, 24, 25, 0, 25, 26, 0, 26, 27, 0, 27, 28, 0, 28, 29, 0, 29, 30, 0, 30, 31, 0, 31, 32, 0, 32, 1, 1, 33, 34, 2, 2, 34, 35, 3, 3, 35, 36, 4, 4, 36, 37, 5, 5, 37, 38, 6, 6, 38, 39, 7, 7, 39, 40, 8, 8, 40, 41, 9, 9, 41, 42, 10, 10, 42, 43, 11, 11, 43, 44, 12, 12, 44, 45, 13, 13, 45, 46, 14, 14, 46, 47, 15, 15, 47, 48, 16, 16, 48, 49, 17, 17, 49, 50, 18, 18, 50, 51, 19, 19, 51, 52, 20, 20, 52, 53, 21, 21, 53, 54, 22, 22, 54, 55, 23, 23, 55, 56, 24, 24, 56, 57, 25, 25, 57, 58, 26, 26, 58, 59, 27, 27, 59, 60, 28, 28, 60, 61, 29, 29, 61, 62, 30, 30, 62, 63, 31, 31, 63, 64, 32, 32, 64, 33, 1, 33, 65, 66, 34, 34, 66, 67, 35, 35, 67, 68, 36, 36, 68, 69, 37, 37, 69, 70, 38, 38, 70, 71, 39, 39, 71, 72, 40, 40, 72, 73, 41, 41, 73, 74, 42, 42, 74, 75, 43, 43, 75, 76, 44, 44, 76, 77, 45, 45, 77, 78, 46, 46, 78, 79, 47, 47, 79, 80, 48, 48, 80, 81, 49, 49, 81, 82, 50, 50, 82, 83, 51, 51, 83, 84, 52, 52, 84, 85, 53, 53, 85, 86, 54, 54, 86, 87, 55, 55, 87, 88, 56, 56, 88, 89, 57, 57, 89, 90, 58, 58, 90, 91, 59, 59, 91, 92, 60, 60, 92, 93, 61, 61, 93, 94, 62, 62, 94, 95, 63, 63, 95, 96, 64, 64, 96, 65, 33, 65, 97, 98, 66, 66, 98, 99, 67, 67, 99, 100, 68, 68, 100, 101, 69, 69, 101, 102, 70, 70, 102, 103, 71, 71, 103, 104, 72, 72, 104, 105, 73, 73, 105, 106, 74, 74, 106, 107, 75, 75, 107, 108, 76, 76, 108, 109, 77, 77, 109, 110, 78, 78, 110, 111, 79, 79, 111, 112, 80, 80, 112, 113, 81, 81, 113, 114, 82, 82, 114, 115, 83, 83, 115, 116, 84, 84, 116, 117, 85, 85, 117, 118, 86, 86, 118, 119, 87, 87, 119, 120, 88, 88, 120, 121, 89, 89, 121, 122, 90, 90, 122, 123, 91, 91, 123, 124, 92, 92, 124, 125, 93, 93, 125, 126, 94, 94, 126, 127, 95, 95, 127, 128, 96, 96, 128, 97, 65, 97, 129, 130, 98, 98, 130, 131, 99, 99, 131, 132, 100, 100, 132, 133, 101, 101, 133, 134, 102, 102, 134, 135, 103, 103, 135, 136, 104, 104, 136, 137, 105, 105, 137, 138, 106, 106, 138, 139, 107, 107, 139, 140, 108, 108, 140, 141, 109, 109, 141, 142, 110, 110, 142, 143, 111, 111, 143, 144, 112, 112, 144, 145, 113, 113, 145, 146, 114, 114, 146, 147, 115, 115, 147, 148, 116, 116, 148, 149, 117, 117, 149, 150, 118, 118, 150, 151, 119, 119, 151, 152, 120, 120, 152, 153, 121, 121, 153, 154, 122, 122, 154, 155, 123, 123, 155, 156, 124, 124, 156, 157, 125, 125, 157, 158, 126, 126, 158, 159, 127, 127, 159, 160, 128, 128, 160, 129, 97, 129, 161, 162, 130, 130, 162, 163, 131, 131, 163, 164, 132, 132, 164, 165, 133, 133, 165, 166, 134, 134, 166, 167, 135, 135, 167, 168, 136, 136, 168, 169, 137, 137, 169, 170, 138, 138, 170, 171, 139, 139, 171, 172, 140, 140, 172, 173, 141, 141, 173, 174, 142, 142, 174, 175, 143, 143, 175, 176, 144, 144, 176, 177, 145, 145, 177, 178, 146, 146, 178, 179, 147, 147, 179, 180, 148, 148, 180, 181, 149, 149, 181, 182, 150, 150, 182, 183, 151, 151, 183, 184, 152, 152, 184, 185, 153, 153, 185, 186, 154, 154, 186, 187, 155, 155, 187, 188, 156, 156, 188, 189, 157, 157, 189, 190, 158, 158, 190, 191, 159, 159, 191, 192, 160, 160, 192, 161, 129, 161, 193, 194, 162, 162, 194, 195, 163, 163, 195, 196, 164, 164, 196, 197, 165, 165, 197, 198, 166, 166, 198, 199, 167, 167, 199, 200, 168, 168, 200, 201, 169, 169, 201, 202, 170, 170, 202, 203, 171, 171, 203, 204, 172, 172, 204, 205, 173, 173, 205, 206, 174, 174, 206, 207, 175, 175, 207, 208, 176, 176, 208, 209, 177, 177, 209, 210, 178, 178, 210, 211, 179, 179, 211, 212, 180, 180, 212, 213, 181, 181, 213, 214, 182, 182, 214, 215, 183, 183, 215, 216, 184, 184, 216, 217, 185, 185, 217, 218, 186, 186, 218, 219, 187, 187, 219, 220, 188, 188, 220, 221, 189, 189, 221, 222, 190, 190, 222, 223, 191, 191, 223, 224, 192, 192, 224, 193, 161, 193, 225, 226, 194, 194, 226, 227, 195, 195, 227, 228, 196, 196, 228, 229, 197, 197, 229, 230, 198, 198, 230, 231, 199, 199, 231, 232, 200, 200, 232, 233, 201, 201, 233, 234, 202, 202, 234, 235, 203, 203, 235, 236, 204, 204, 236, 237, 205, 205, 237, 238, 206, 206, 238, 239, 207, 207, 239, 240, 208, 208, 240, 241, 209, 209, 241, 242, 210, 210, 242, 243, 211, 211, 243, 244, 212, 212, 244, 245, 213, 213, 245, 246, 214, 214, 246, 247, 215, 215, 247, 248, 216, 216, 248, 249, 217, 217, 249, 250, 218, 218, 250, 251, 219, 219, 251, 252, 220, 220, 252, 253, 221, 221, 253, 254, 222, 222, 254, 255, 223, 223, 255, 256, 224, 224, 256, 225, 193, 225, 257, 258, 226, 226, 258, 259, 227, 227, 259, 260, 228, 228, 260, 261, 229, 229, 261, 262, 230, 230, 262, 263, 231, 231, 263, 264, 232, 232, 264, 265, 233, 233, 265, 266, 234, 234, 266, 267, 235, 235, 267, 268, 236, 236, 268, 269, 237, 237, 269, 270, 238, 238, 270, 271, 239, 239, 271, 272, 240, 240, 272, 273, 241, 241, 273, 274, 242, 242, 274, 275, 243, 243, 275, 276, 244, 244, 276, 277, 245, 245, 277, 278, 246, 246, 278, 279, 247, 247, 279, 280, 248, 248, 280, 281, 249, 249, 281, 282, 250, 250, 282, 283, 251, 251, 283, 284, 252, 252, 284, 285, 253, 253, 285, 286, 254, 254, 286, 287, 255, 255, 287, 288, 256, 256, 288, 257, 225, 257, 289, 290, 258, 258, 290, 291, 259, 259, 291, 292, 260, 260, 292, 293, 261, 261, 293, 294, 262, 262, 294, 295, 263, 263, 295, 296, 264, 264, 296, 297, 265, 265, 297, 298, 266, 266, 298, 299, 267, 267, 299, 300, 268, 268, 300, 301, 269, 269, 301, 302, 270, 270, 302, 303, 271, 271, 303, 304, 272, 272, 304, 305, 273, 273, 305, 306, 274, 274, 306, 307, 275, 275, 307, 308, 276, 276, 308, 309, 277, 277, 309, 310, 278, 278, 310, 311, 279, 279, 311, 312, 280, 280, 312, 313, 281, 281, 313, 314, 282, 282, 314, 315, 283, 283, 315, 316, 284, 284, 316, 317, 285, 285, 317, 318, 286, 286, 318, 319, 287, 287, 319, 320, 288, 288, 320, 289, 257, 289, 321, 322, 290, 290, 322, 323, 291, 291, 323, 324, 292, 292, 324, 325, 293, 293, 325, 326, 294, 294, 326, 327, 295, 295, 327, 328, 296, 296, 328, 329, 297, 297, 329, 330, 298, 298, 330, 331, 299, 299, 331, 332, 300, 300, 332, 333, 301, 301, 333, 334, 302, 302, 334, 335, 303, 303, 335, 336, 304, 304, 336, 337, 305, 305, 337, 338, 306, 306, 338, 339, 307, 307, 339, 340, 308, 308, 340, 341, 309, 309, 341, 342, 310, 310, 342, 343, 311, 311, 343, 344, 312, 312, 344, 345, 313, 313, 345, 346, 314, 314, 346, 347, 315, 315, 347, 348, 316, 316, 348, 349, 317, 317, 349, 350, 318, 318, 350, 351, 319, 319, 351, 352, 320, 320, 352, 321, 289, 321, 353, 354, 322, 322, 354, 355, 323, 323, 355, 356, 324, 324, 356, 357, 325, 325, 357, 358, 326, 326, 358, 359, 327, 327, 359, 360, 328, 328, 360, 361, 329, 329, 361, 362, 330, 330, 362, 363, 331, 331, 363, 364, 332, 332, 364, 365, 333, 333, 365, 366, 334, 334, 366, 367, 335, 335, 367, 368, 336, 336, 368, 369, 337, 337, 369, 370, 338, 338, 370, 371, 339, 339, 371, 372, 340, 340, 372, 373, 341, 341, 373, 374, 342, 342, 374, 375, 343, 343, 375, 376, 344, 344, 376, 377, 345, 345, 377, 378, 346, 346, 378, 379, 347, 347, 379, 380, 348, 348, 380, 381, 349, 349, 381, 382, 350, 350, 382, 383, 351, 351, 383, 384, 352, 352, 384, 353, 321, 353, 385, 386, 354, 354, 386, 387, 355, 355, 387, 388, 356, 356, 388, 389, 357, 357, 389, 390, 358, 358, 390, 391, 359, 359, 391, 392, 360, 360, 392, 393, 361, 361, 393, 394, 362, 362, 394, 395, 363, 363, 395, 396, 364, 364, 396, 397, 365, 365, 397, 398, 366, 366, 398, 399, 367, 367, 399, 400, 368, 368, 400, 401, 369, 369, 401, 402, 370, 370, 402, 403, 371, 371, 403, 404, 372, 372, 404, 405, 373, 373, 405, 406, 374, 374, 406, 407, 375, 375, 407, 408, 376, 376, 408, 409, 377, 377, 409, 410, 378, 378, 410, 411, 379, 379, 411, 412, 380, 380, 412, 413, 381, 381, 413, 414, 382, 382, 414, 415, 383, 383, 415, 416, 384, 384, 416, 385, 353, 385, 417, 418, 386, 386, 418, 419, 387, 387, 419, 420, 388, 388, 420, 421, 389, 389, 421, 422, 390, 390, 422, 423, 391, 391, 423, 424, 392, 392, 424, 425, 393, 393, 425, 426, 394, 394, 426, 427, 395, 395, 427, 428, 396, 396, 428, 429, 397, 397, 429, 430, 398, 398, 430, 431, 399, 399, 431, 432, 400, 400, 432, 433, 401, 401, 433, 434, 402, 402, 434, 435, 403, 403, 435, 436, 404, 404, 436, 437, 405, 405, 437, 438, 406, 406, 438, 439, 407, 407, 439, 440, 408, 408, 440, 441, 409, 409, 441, 442, 410, 410, 442, 443, 411, 411, 443, 444, 412, 412, 444, 445, 413, 413, 445, 446, 414, 414, 446, 447, 415, 415, 447, 448, 416, 416, 448, 417, 385, 417, 449, 450, 418, 418, 450, 451, 419, 419, 451, 452, 420, 420, 452, 453, 421, 421, 453, 454, 422, 422, 454, 455, 423, 423, 455, 456, 424, 424, 456, 457, 425, 425, 457, 458, 426, 426, 458, 459, 427, 427, 459, 460, 428, 428, 460, 461, 429, 429, 461, 462, 430, 430, 462, 463, 431, 431, 463, 464, 432, 432, 464, 465, 433, 433, 465, 466, 434, 434, 466, 467, 435, 435, 467, 468, 436, 436, 468, 469, 437, 437, 469, 470, 438, 438, 470, 471, 439, 439, 471, 472, 440, 440, 472, 473, 441, 441, 473, 474, 442, 442, 474, 475, 443, 443, 475, 476, 444, 444, 476, 477, 445, 445, 477, 478, 446, 446, 478, 479, 447, 447, 479, 480, 448, 448, 480, 449, 417, 481, 450, 449, 481, 451, 450, 481, 452, 451, 481, 453, 452, 481, 454, 453, 481, 455, 454, 481, 456, 455, 481, 457, 456, 481, 458, 457, 481, 459, 458, 481, 460, 459, 481, 461, 460, 481, 462, 461, 481, 463, 462, 481, 464, 463, 481, 465, 464, 481, 466, 465, 481, 467, 466, 481, 468, 467, 481, 469, 468, 481, 470, 469, 481, 471, 470, 481, 472, 471, 481, 473, 472, 481, 474, 473, 481, 475, 474, 481, 476, 475, 481, 477, 476, 481, 478, 477, 481, 479, 478, 481, 480, 479, 481, 449, 480] rel material:binding = None ( bindMaterialAs = "weakerThanDescendants" ) normal3f[] normals = [(0, -50, 0), (9.754516, -49.039265, 0), (9.567086, -49.039265, 1.9030117), (0, -50, 0), (9.567086, -49.039265, 1.9030117), (9.011998, -49.039265, 3.7328918), (0, -50, 0), 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(0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def Xform "Environment" { double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 bool enableColorTemperature = 0 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file double3 xformOp:rotateXYZ = (315, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/BenchChair_Mini.usda
#usda 1.0 ( customLayerData = { dictionary audioSettings = { double dopplerLimit = 2 double dopplerScale = 1 double nonSpatialTimeScale = 1 double spatialTimeScale = 1 double speedOfSound = 340 } dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 1000) double radius = 500 double3 target = (0, 0, 0) } dictionary Perspective = { double3 position = (284.0601537893443, 376.0975079160896, 678.3476801943718) double radius = 4103.913656878516 double3 target = (2.25830078125, 4.174749374389648, 163.00079822540283) } dictionary Right = { double3 position = (-1000, 0, -2.220446049250313e-13) double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double3 position = (-8.659560562354932e-14, 1000, 2.220446049250313e-13) double radius = 500 double3 target = (0, 0, 0) } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { } } defaultPrim = "World" metersPerUnit = 0.009999999776482582 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] kind = "model" ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateZYX = (315, 0, 0) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX"] } def PointInstancer "PI" { point3f[] positions = [(0, 0, 0), (2, 0, 100), (4, 0, 200), (6, 0, 300)] int[] protoIndices = [1, 0, 1, 0] rel prototypes = [ </World/PI/Prototypes/bench/proto_0>, </World/PI/Prototypes/sofa/proto_0>, ] float3[] scales = [(100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100)] def Xform "Prototypes" { def Xform "chair" { } def Xform "bench" { def Xform "proto_0" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./bench_golden.usd@ ) { string semantic:Semantics:params:semanticData = "bench" string semantic:Semantics:params:semanticType = "class" } } def Xform "sofa" { def Xform "proto_0" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./sofa_golden.usd@ ) { string semantic:Semantics:params:semanticData = "sofa" string semantic:Semantics:params:semanticType = "class" } } } } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/cube.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double radius = 500 double3 target = (0, 0, 0) } dictionary Perspective = { double3 position = (188.15415084862954, 188.15415084863005, 188.15415084862929) double3 target = (-3.410605131648481e-13, 1.1368683772161603e-13, -4.263256414560601e-13) } dictionary Right = { double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double radius = 500 double3 target = (0, 0, 0) } string boundCamera = "/OmniverseKit_Persp" } dictionary renderSettings = { float "rtx:post:lensDistortion:cameraFocalLength" = 18.147562 } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.009999999776482582 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateXYZ = (315, 0, 0) double3 xformOp:scale = (1, 1, 1) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Cube "Cube" { float3[] extent = [(-50, -50, -50), (50, 50, 50)] color3f[] primvars:displayColor = [(1, 0.5, 0.5)] double size = 100 double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/occlusion.usda
#usda 1.0 ( customLayerData = { dictionary audioSettings = { double dopplerLimit = 2 double dopplerScale = 1 double nonSpatialTimeScale = 1 double spatialTimeScale = 1 double speedOfSound = 340 } dictionary cameraSettings = { dictionary Front = { double radius = 3000 double3 target = (98.03826837800693, 7.528925233790124, 0) } dictionary Perspective = { double3 position = (-154.72631975736212, 1150.551337133561, 628.9729272322076) double3 target = (4.206412995699793e-12, 4.9112713895738125e-11, 6.298250809777528e-11) } dictionary Right = { double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double radius = 500 double3 target = (9.0205620750794e-12, 0, 7.632783294297953e-12) } string boundCamera = "/OmniverseKit_Front" } dictionary renderSettings = { float "rtx:post:lensDistortion:cameraFocalLength" = 50 } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.009999999776482582 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] kind = "model" ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateZYX = (315, 0, 0) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX"] } def Mesh "Cube" ( kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 121.195201) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } def Mesh "Cube_100" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "100" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 90.130004) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } def Mesh "Cube_50" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "50" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (75, 0, 29.276982) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } def Mesh "Cube_0" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "0" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (250, 0, -33.879526) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } def Mesh "Cube_25" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "25" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (150, 0, 1.671752) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } def Mesh "Cube_75" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] kind = "model" ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 4, 5, 1, 4, 0, 2, 6, 5, 4, 6, 7, 1, 5, 7, 3, 0, 1, 3, 2, 3, 7, 6, 2] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (-50, -50, 50), (-50, 50, -50), (-50, 50, 50), (50, -50, -50), (50, -50, 50), (50, 50, -50), (50, 50, 50)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) string semantic:Semantics:params:semanticData = "75" string semantic:Semantics:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateZYX = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (25, 0, 66.267482) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/can.usda
#usda 1.0 ( customLayerData = { dictionary audioSettings = { double dopplerLimit = 2 double dopplerScale = 1 double nonSpatialTimeScale = 1 double spatialTimeScale = 1 double speedOfSound = 340 } dictionary cameraSettings = { dictionary Front = { double3 position = (50000.000000000044, -1.1102230246251572e-11, 0) double radius = 500 } dictionary Perspective = { double3 position = (-5.407868234179966, 34.5144053725147, 10.097685807774901) double radius = 51.15009326204032 double3 target = (-0.8430685043426704, -0.2415856331749211, 3.6802193705546093) } dictionary Right = { double3 position = (0, -50000, -1.1102230246251565e-11) double radius = 500 } dictionary Top = { double3 position = (0, 0, 50000) double radius = 500 } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { string authoring_layer = "./skeleton.usd" dictionary muteness = { } } dictionary renderSettings = { float3 "rtx:debugView:pixelDebug:textColor" = (0, 1e18, 0) float3 "rtx:fog:fogColor" = (0.75, 0.75, 0.75) float3 "rtx:post:backgroundZeroAlpha:backgroundDefaultColor" = (0, 0, 0) float3 "rtx:post:colorcorr:contrast" = (1, 1, 1) float3 "rtx:post:colorcorr:gain" = (1, 1, 1) float3 "rtx:post:colorcorr:gamma" = (1, 1, 1) float3 "rtx:post:colorcorr:offset" = (0, 0, 0) float3 "rtx:post:colorcorr:saturation" = (1, 1, 1) float3 "rtx:post:colorgrad:blackpoint" = (0, 0, 0) float3 "rtx:post:colorgrad:contrast" = (1, 1, 1) float3 "rtx:post:colorgrad:gain" = (1, 1, 1) float3 "rtx:post:colorgrad:gamma" = (1, 1, 1) float3 "rtx:post:colorgrad:lift" = (0, 0, 0) float3 "rtx:post:colorgrad:multiply" = (1, 1, 1) float3 "rtx:post:colorgrad:offset" = (0, 0, 0) float3 "rtx:post:colorgrad:whitepoint" = (1, 1, 1) float3 "rtx:post:lensDistortion:lensFocalLengthArray" = (10, 30, 50) float3 "rtx:post:lensFlares:anisoFlareFalloffX" = (450, 475, 500) float3 "rtx:post:lensFlares:anisoFlareFalloffY" = (10, 10, 10) float3 "rtx:post:lensFlares:cutoffPoint" = (2, 2, 2) float3 "rtx:post:lensFlares:haloFlareFalloff" = (10, 10, 10) float3 "rtx:post:lensFlares:haloFlareRadius" = (75, 75, 75) float3 "rtx:post:lensFlares:isotropicFlareFalloff" = (50, 50, 50) float3 "rtx:post:tonemap:whitepoint" = (1, 1, 1) float3 "rtx:raytracing:inscattering:singleScatteringAlbedo" = (0.9, 0.9, 0.9) float3 "rtx:raytracing:inscattering:transmittanceColor" = (0.5, 0.5, 0.5) float3 "rtx:sceneDb:ambientLightColor" = (0.1, 0.1, 0.1) } } defaultPrim = "Root" endTimeCode = 50 metersPerUnit = 0.009999999776482582 startTimeCode = 1 timeCodesPerSecond = 24 upAxis = "Z" ) def "Root" ( kind = "component" ) { def SkelRoot "group1" { matrix4d xformOp:transform = ( (1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0), (0, 0, 0, 1) ) uniform token[] xformOpOrder = ["xformOp:transform"] def Mesh "pCylinder1" ( delete apiSchemas = ["SemanticsAPI:Semantics_N2Lf", "SemanticsAPI:Semantics_Yyiz"] prepend apiSchemas = ["SkelBindingAPI", "ShadowAPI", "SemanticsAPI:Semantics_I2tM"] ) { uniform bool doubleSided = 1 float3[] extent = [(-2.0000005, -2.0000002, 0), (2, 2.000001, 10)] int[] faceVertexCounts = [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [0, 1, 21, 20, 1, 2, 22, 21, 2, 3, 23, 22, 3, 4, 24, 23, 4, 5, 25, 24, 5, 6, 26, 25, 6, 7, 27, 26, 7, 8, 28, 27, 8, 9, 29, 28, 9, 10, 30, 29, 10, 11, 31, 30, 11, 12, 32, 31, 12, 13, 33, 32, 13, 14, 34, 33, 14, 15, 35, 34, 15, 16, 36, 35, 16, 17, 37, 36, 17, 18, 38, 37, 18, 19, 39, 38, 19, 0, 20, 39, 20, 21, 41, 40, 21, 22, 42, 41, 22, 23, 43, 42, 23, 24, 44, 43, 24, 25, 45, 44, 25, 26, 46, 45, 26, 27, 47, 46, 27, 28, 48, 47, 28, 29, 49, 48, 29, 30, 50, 49, 30, 31, 51, 50, 31, 32, 52, 51, 32, 33, 53, 52, 33, 34, 54, 53, 34, 35, 55, 54, 35, 36, 56, 55, 36, 37, 57, 56, 37, 38, 58, 57, 38, 39, 59, 58, 39, 20, 40, 59, 40, 41, 61, 60, 41, 42, 62, 61, 42, 43, 63, 62, 43, 44, 64, 63, 44, 45, 65, 64, 45, 46, 66, 65, 46, 47, 67, 66, 47, 48, 68, 67, 48, 49, 69, 68, 49, 50, 70, 69, 50, 51, 71, 70, 51, 52, 72, 71, 52, 53, 73, 72, 53, 54, 74, 73, 54, 55, 75, 74, 55, 56, 76, 75, 56, 57, 77, 76, 57, 58, 78, 77, 58, 59, 79, 78, 59, 40, 60, 79, 60, 61, 81, 80, 61, 62, 82, 81, 62, 63, 83, 82, 63, 64, 84, 83, 64, 65, 85, 84, 65, 66, 86, 85, 66, 67, 87, 86, 67, 68, 88, 87, 68, 69, 89, 88, 69, 70, 90, 89, 70, 71, 91, 90, 71, 72, 92, 91, 72, 73, 93, 92, 73, 74, 94, 93, 74, 75, 95, 94, 75, 76, 96, 95, 76, 77, 97, 96, 77, 78, 98, 97, 78, 79, 99, 98, 79, 60, 80, 99, 80, 81, 101, 100, 81, 82, 102, 101, 82, 83, 103, 102, 83, 84, 104, 103, 84, 85, 105, 104, 85, 86, 106, 105, 86, 87, 107, 106, 87, 88, 108, 107, 88, 89, 109, 108, 89, 90, 110, 109, 90, 91, 111, 110, 91, 92, 112, 111, 92, 93, 113, 112, 93, 94, 114, 113, 94, 95, 115, 114, 95, 96, 116, 115, 96, 97, 117, 116, 97, 98, 118, 117, 98, 99, 119, 118, 99, 80, 100, 119, 100, 101, 121, 120, 101, 102, 122, 121, 102, 103, 123, 122, 103, 104, 124, 123, 104, 105, 125, 124, 105, 106, 126, 125, 106, 107, 127, 126, 107, 108, 128, 127, 108, 109, 129, 128, 109, 110, 130, 129, 110, 111, 131, 130, 111, 112, 132, 131, 112, 113, 133, 132, 113, 114, 134, 133, 114, 115, 135, 134, 115, 116, 136, 135, 116, 117, 137, 136, 117, 118, 138, 137, 118, 119, 139, 138, 119, 100, 120, 139, 120, 121, 141, 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(0.39999998, 0.6884397), (0.41249996, 0.6884397), (0.42499995, 0.6884397), (0.43749994, 0.6884397), (0.44999993, 0.6884397), (0.46249992, 0.6884397), (0.4749999, 0.6884397), (0.4874999, 0.6884397), (0.49999988, 0.6884397), (0.51249987, 0.6884397), (0.52499986, 0.6884397), (0.53749985, 0.6884397), (0.54999983, 0.6884397), (0.5624998, 0.6884397), (0.5749998, 0.6884397), (0.5874998, 0.6884397), (0.5999998, 0.6884397), (0.6124998, 0.6884397), (0.62499976, 0.6884397), (0.6486026, 0.89203393), (0.62640893, 0.93559146), (0.56320447, 0.8896707), (0.5743013, 0.86789197), (0.59184146, 0.97015893), (0.5459207, 0.90695447), (0.5482839, 0.9923526), (0.52414197, 0.9180513), (0.5, 1), (0.5, 0.921875), (0.4517161, 0.9923526), (0.47585803, 0.9180513), (0.40815854, 0.97015893), (0.45407927, 0.90695447), (0.37359107, 0.93559146), (0.43679553, 0.8896707), (0.3513974, 0.89203393), (0.4256987, 0.86789197), (0.34374997, 0.84375), (0.421875, 0.84375), (0.3513974, 0.79546607), (0.4256987, 0.81960803), (0.37359107, 0.75190854), (0.43679553, 0.7978293), (0.4081585, 0.71734107), (0.45407927, 0.78054553), (0.45171607, 0.69514734), (0.47585803, 0.76944864), (0.5, 0.68749994), (0.5, 0.765625), (0.54828393, 0.69514734), (0.52414197, 0.76944864), (0.5918415, 0.717341), (0.5459207, 0.7805455), (0.626409, 0.7519085), (0.5632045, 0.7978293), (0.64860266, 0.79546607), (0.57430136, 0.81960803), (0.65625, 0.84375), (0.578125, 0.84375), (0.5, 0.15), (0.5, 0.8375)] ( customData = { dictionary Maya = { int UVSetIndex = 0 } } interpolation = "faceVarying" ) int[] primvars:st:indices = [0, 1, 2, 3, 1, 4, 5, 2, 4, 6, 7, 5, 6, 8, 9, 7, 8, 10, 11, 9, 10, 12, 13, 11, 12, 14, 15, 13, 14, 16, 17, 15, 16, 18, 19, 17, 18, 20, 21, 19, 20, 22, 23, 21, 22, 24, 25, 23, 24, 26, 27, 25, 26, 28, 29, 27, 28, 30, 31, 29, 30, 32, 33, 31, 32, 34, 35, 33, 34, 36, 37, 35, 36, 38, 39, 37, 38, 0, 3, 39, 40, 41, 42, 43, 41, 44, 45, 42, 44, 46, 47, 45, 46, 48, 49, 47, 48, 50, 51, 49, 50, 52, 53, 51, 52, 54, 55, 53, 54, 56, 57, 55, 56, 58, 59, 57, 58, 60, 61, 59, 60, 62, 63, 61, 62, 64, 65, 63, 64, 66, 67, 65, 66, 68, 69, 67, 68, 70, 71, 69, 70, 72, 73, 71, 72, 74, 75, 73, 74, 76, 77, 75, 76, 78, 79, 77, 78, 80, 81, 79, 43, 42, 82, 83, 42, 45, 84, 82, 45, 47, 85, 84, 47, 49, 86, 85, 49, 51, 87, 86, 51, 53, 88, 87, 53, 55, 89, 88, 55, 57, 90, 89, 57, 59, 91, 90, 59, 61, 92, 91, 61, 63, 93, 92, 63, 65, 94, 93, 65, 67, 95, 94, 67, 69, 96, 95, 69, 71, 97, 96, 71, 73, 98, 97, 73, 75, 99, 98, 75, 77, 100, 99, 77, 79, 101, 100, 79, 81, 102, 101, 83, 82, 103, 104, 82, 84, 105, 103, 84, 85, 106, 105, 85, 86, 107, 106, 86, 87, 108, 107, 87, 88, 109, 108, 88, 89, 110, 109, 89, 90, 111, 110, 90, 91, 112, 111, 91, 92, 113, 112, 92, 93, 114, 113, 93, 94, 115, 114, 94, 95, 116, 115, 95, 96, 117, 116, 96, 97, 118, 117, 97, 98, 119, 118, 98, 99, 120, 119, 99, 100, 121, 120, 100, 101, 122, 121, 101, 102, 123, 122, 104, 103, 124, 125, 103, 105, 126, 124, 105, 106, 127, 126, 106, 107, 128, 127, 107, 108, 129, 128, 108, 109, 130, 129, 109, 110, 131, 130, 110, 111, 132, 131, 111, 112, 133, 132, 112, 113, 134, 133, 113, 114, 135, 134, 114, 115, 136, 135, 115, 116, 137, 136, 116, 117, 138, 137, 117, 118, 139, 138, 118, 119, 140, 139, 119, 120, 141, 140, 120, 121, 142, 141, 121, 122, 143, 142, 122, 123, 144, 143, 125, 124, 145, 146, 124, 126, 147, 145, 126, 127, 148, 147, 127, 128, 149, 148, 128, 129, 150, 149, 129, 130, 151, 150, 130, 131, 152, 151, 131, 132, 153, 152, 132, 133, 154, 153, 133, 134, 155, 154, 134, 135, 156, 155, 135, 136, 157, 156, 136, 137, 158, 157, 137, 138, 159, 158, 138, 139, 160, 159, 139, 140, 161, 160, 140, 141, 162, 161, 141, 142, 163, 162, 142, 143, 164, 163, 143, 144, 165, 164, 146, 145, 166, 167, 145, 147, 168, 166, 147, 148, 169, 168, 148, 149, 170, 169, 149, 150, 171, 170, 150, 151, 172, 171, 151, 152, 173, 172, 152, 153, 174, 173, 153, 154, 175, 174, 154, 155, 176, 175, 155, 156, 177, 176, 156, 157, 178, 177, 157, 158, 179, 178, 158, 159, 180, 179, 159, 160, 181, 180, 160, 161, 182, 181, 161, 162, 183, 182, 162, 163, 184, 183, 163, 164, 185, 184, 164, 165, 186, 185, 167, 166, 187, 188, 166, 168, 189, 187, 168, 169, 190, 189, 169, 170, 191, 190, 170, 171, 192, 191, 171, 172, 193, 192, 172, 173, 194, 193, 173, 174, 195, 194, 174, 175, 196, 195, 175, 176, 197, 196, 176, 177, 198, 197, 177, 178, 199, 198, 178, 179, 200, 199, 179, 180, 201, 200, 180, 181, 202, 201, 181, 182, 203, 202, 182, 183, 204, 203, 183, 184, 205, 204, 184, 185, 206, 205, 185, 186, 207, 206, 188, 187, 208, 209, 187, 189, 210, 208, 189, 190, 211, 210, 190, 191, 212, 211, 191, 192, 213, 212, 192, 193, 214, 213, 193, 194, 215, 214, 194, 195, 216, 215, 195, 196, 217, 216, 196, 197, 218, 217, 197, 198, 219, 218, 198, 199, 220, 219, 199, 200, 221, 220, 200, 201, 222, 221, 201, 202, 223, 222, 202, 203, 224, 223, 203, 204, 225, 224, 204, 205, 226, 225, 205, 206, 227, 226, 206, 207, 228, 227, 209, 208, 229, 230, 208, 210, 231, 229, 210, 211, 232, 231, 211, 212, 233, 232, 212, 213, 234, 233, 213, 214, 235, 234, 214, 215, 236, 235, 215, 216, 237, 236, 216, 217, 238, 237, 217, 218, 239, 238, 218, 219, 240, 239, 219, 220, 241, 240, 220, 221, 242, 241, 221, 222, 243, 242, 222, 223, 244, 243, 223, 224, 245, 244, 224, 225, 246, 245, 225, 226, 247, 246, 226, 227, 248, 247, 227, 228, 249, 248, 230, 229, 250, 251, 229, 231, 252, 250, 231, 232, 253, 252, 232, 233, 254, 253, 233, 234, 255, 254, 234, 235, 256, 255, 235, 236, 257, 256, 236, 237, 258, 257, 237, 238, 259, 258, 238, 239, 260, 259, 239, 240, 261, 260, 240, 241, 262, 261, 241, 242, 263, 262, 242, 243, 264, 263, 243, 244, 265, 264, 244, 245, 266, 265, 245, 246, 267, 266, 246, 247, 268, 267, 247, 248, 269, 268, 248, 249, 270, 269, 271, 272, 273, 274, 272, 275, 276, 273, 275, 277, 278, 276, 277, 279, 280, 278, 279, 281, 282, 280, 281, 283, 284, 282, 283, 285, 286, 284, 285, 287, 288, 286, 287, 289, 290, 288, 289, 291, 292, 290, 291, 293, 294, 292, 293, 295, 296, 294, 295, 297, 298, 296, 297, 299, 300, 298, 299, 301, 302, 300, 301, 303, 304, 302, 303, 305, 306, 304, 305, 307, 308, 306, 307, 309, 310, 308, 309, 271, 274, 310, 1, 0, 311, 4, 1, 311, 6, 4, 311, 8, 6, 311, 10, 8, 311, 12, 10, 311, 14, 12, 311, 16, 14, 311, 18, 16, 311, 20, 18, 311, 22, 20, 311, 24, 22, 311, 26, 24, 311, 28, 26, 311, 30, 28, 311, 32, 30, 311, 34, 32, 311, 36, 34, 311, 38, 36, 311, 0, 38, 311, 274, 273, 312, 273, 276, 312, 276, 278, 312, 278, 280, 312, 280, 282, 312, 282, 284, 312, 284, 286, 312, 286, 288, 312, 288, 290, 312, 290, 292, 312, 292, 294, 312, 294, 296, 312, 296, 298, 312, 298, 300, 312, 300, 302, 312, 302, 304, 312, 304, 306, 312, 306, 308, 312, 308, 310, 312, 310, 274, 312] string semantic:Semantics_I2tM:params:semanticData = "foo" string semantic:Semantics_I2tM:params:semanticType = "class" bool shadow:enable = 1 uniform token[] skel:joints = ["joint1", "joint1/joint2", "joint1/joint2/joint3", "joint1/joint2/joint3/joint4", "joint1/joint2/joint3/joint4/joint5"] rel skel:skeleton = </Root/group1/joint1> uniform token skel:skinningMethod = "DualQuaternion" uniform token subdivisionScheme = "none" matrix4d xformOp:transform = ( (1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0), (0, 0, 0, 1) ) uniform token[] xformOpOrder = ["xformOp:transform"] } def Skeleton "joint1" ( prepend apiSchemas = ["SkelBindingAPI"] customData = { dictionary Maya = { bool generated = 1 } } ) { uniform matrix4d[] bindTransforms = [( (-0.020420315587156734, 0, 0.9997914836161192, 0), (-1.2243914402252638e-16, -1, -2.50076741213904e-18, 0), (0.9997914836161192, -1.2246467991473532e-16, 0.020420315587156734, 0), (0.06181698728549858, 0, -0.02659854433002078, 1) ), ( (-3.434752482434078e-15, -2.5007674121386094e-18, 1, 0), (-1.2243914402252638e-16, -1, -2.50076741213904e-18, 0), (1, -1.224391440225264e-16, 3.434752482434078e-15, 0), (-1.3877787807814457e-17, 8.841297486311764e-34, 3.0000000000000004, 1) ), ( (-3.434752482434078e-15, -2.5007674121386094e-18, 1, 0), (-1.2243914402252638e-16, -1, -2.50076741213904e-18, 0), (1, -1.224391440225264e-16, 3.434752482434078e-15, 0), (0, 1.2722513410043386e-31, 6, 1) ), ( (-3.434752482434078e-15, -2.5007674121386094e-18, 1, 0), (-1.2243914402252638e-16, -1, -2.50076741213904e-18, 0), (1, -1.224391440225264e-16, 3.434752482434078e-15, 0), (9.185754640251975e-34, 1.5649926925511984e-31, 9, 1) ), ( (1, -1.224391440225264e-16, -1.1796119636642288e-16, 0), (1.2243914402252635e-16, 1, -1.1996391250259628e-16, 0), (2.2898349882893854e-16, 1.1996391250259626e-16, 1, 0), (1.2247672853669268e-33, 1.4186220167777685e-31, 10, 1) )] uniform token[] joints = ["joint1", "joint1/joint2", "joint1/joint2/joint3", "joint1/joint2/joint3/joint4", "joint1/joint2/joint3/joint4/joint5"] uniform matrix4d[] restTransforms = [( (-0.020420312881469727, 2.6255725111502863e-17, 0.9997914433479309, 0), (-1.486948604152591e-16, -1, 2.322416772350012e-17, 0), (0.9997914433479309, -1.4818960526222192e-16, 0.020420372486114502, 0), (0.0618169866502285, 0, -0.026598544791340828, 1) ), ( (0.999792, 0, 0.02042, 0), (0, 1, 0, 0), (-0.02042, 0, 0.999792, 0), (2.629584, 16.071843, 19.468925, 1) ), ( (1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0), (3, -2.9290010541165806e-18, 1.0318135235110049e-14, 1) ), ( (1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0), (3, -7.502302335548734e-18, 1.0304257447302234e-14, 1) ), ( (-1.1920928955078125e-7, -1.893689722608268e-17, 1.0000001192092896, 0), (-1.9212814238183827e-16, -1.000000238418579, -1.893689722608268e-17, 0), (1.0000001192092896, -1.9212814238183827e-16, -1.1920928955078125e-7, 0), (1, -2.5007673762511936e-18, 3.434752482434078e-15, 1) )] rel skel:animationSource = </Root/group1/joint1/Animation> def SkelAnimation "Animation" { uniform token[] joints = ["joint1", "joint1/joint2", "joint1/joint2/joint3", "joint1/joint2/joint3/joint4", "joint1/joint2/joint3/joint4/joint5"] quatf[] rotations = [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9999479, 1.9756056e-36, -0.010210691, -8.708908e-37), (1, 0, 0, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)] quatf[] rotations.timeSamples = { 1: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.94077206, 3.717885e-35, -0.33903977, 1.0155367e-34), (0.98762035, 0, 0.15686323, 3.120114e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, 3.8818763e-18, 0.7071068)], 2: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9997641, 6.236958e-33, -0.021720996, 3.2909726e-35), (0.99999624, 0, 0.0027424013, -3.8518746e-34), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 3: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9986183, 5.8084842e-33, -0.05255021, -3.3373637e-34), (0.99994415, 1.2349047e-32, 0.010570527, -1.7324539e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.958437e-17, 0.7071068)], 4: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9952759, 8.419972e-36, -0.09708719, 1.0719098e-34), (0.99973816, 6.126507e-33, 0.022884618, -2.4343037e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 5: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.988742, -1.2090756e-35, -0.14963076, -1.38100015e-33), (0.99923605, 6.168866e-33, 0.039081782, -7.4085352e-34), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -9.607839e-17, 0.7071068)], 6: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9788749, 5.472309e-33, -0.20446007, -6.8019916e-34), (0.9982843, -6.460354e-33, 0.05855423, -2.5918643e-34), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)], 7: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.96668077, -2.5870152e-18, -0.25598502, 9.769391e-18), (0.9967394, -2.8562294e-33, 0.08068847, 1.3613418e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, 3.8818763e-18, 0.7071068)], 8: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.95428663, 5.9712946e-33, -0.29889306, 1.958205e-33), (0.9944864, 0, 0.10486588, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 9: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.94461256, 8.614725e-36, -0.32818753, 7.714734e-35), (0.991453, 6.0044964e-33, 0.13046467, -1.6081013e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, 5.904622e-18, 0.7071068)], 10: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9999479, 1.9756056e-36, -0.010210691, -8.708908e-37), (1, 0, 0, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)], 11: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9475057, 2.7740445e-33, -0.3197388, 1.0104582e-33), (0.98303014, 6.32211e-33, 0.18344428, -1.2847009e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 12: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.96377945, 2.030969e-35, -0.26670045, 3.223818e-33), (0.9777874, 0, 0.20959933, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)], 13: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9823428, 2.5188462e-35, -0.18709004, 1.1281289e-34), (0.9720599, -6.564091e-33, 0.23473288, 3.8275936e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -9.041538e-17, 0.7071068)], 14: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.99605024, -5.8366924e-37, -0.088791266, 1.0322589e-34), (0.96607393, 8.521877e-33, 0.25826564, -1.5549254e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -5.2742998e-17, 0.7071068)], 15: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9998168, 6.591292e-39, 0.019142117, 2.892867e-34), (0.9601061, -2.4566083e-33, 0.27963609, 5.7946145e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)], 16: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.99192166, 2.9470727e-34, 0.12685224, 1.6248996e-33), (0.9544722, -3.8604024e-33, 0.2983, -5.2504598e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 17: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9744616, 3.76873e-34, 0.2245543, 1.7342746e-33), (0.9495131, -3.956008e-18, 0.3137275, -1.197307e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -7.4622756e-17, 0.7071068)], 18: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.95286465, 2.7759677e-33, 0.3033958, 5.5855252e-33), (0.9455773, -4.273506e-18, 0.3253975, -1.2418443e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -5.7019346e-17, 0.7071068)], 19: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.93457264, -4.4242698e-33, 0.35577238, -6.938029e-34), (0.9430011, 1.6338732e-33, 0.33278978, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -8.54472e-17, 0.7071068)], 20: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9271051, -3.814175e-35, 0.37480146, 1.1338883e-34), (0.94208485, 2.8210937e-33, 0.33537456, -5.508395e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 21: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.93118745, -5.4463813e-18, 0.36454076, -1.3912303e-17), (0.94208485, -4.556414e-18, 0.33537456, -1.2799207e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -5.4996595e-17, 0.7071068)], 22: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.94169426, -3.3711516e-35, 0.3364699, 1.1016753e-34), (0.94208485, 0, 0.33537456, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.46769e-17, 0.7071068)], 23: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.95563346, -3.2409287e-33, 0.29455864, 1.6095242e-33), (0.94208485, 1.635462e-33, 0.33537456, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 24: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.97005093, -6.9114435e-37, 0.24290179, 9.65094e-35), (0.94208485, -4.556414e-18, 0.33537456, -1.2799207e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 25: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.98256904, -2.9500564e-34, 0.18589815, -1.4612545e-33), (0.94208485, 0, 0.33537456, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.958982e-17, 0.7071068)], 26: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9917404, -1.2776737e-35, 0.12826133, 9.540489e-35), (0.94208485, -1.8695705e-33, 0.33537456, -2.605372e-33), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 27: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9971905, -7.216408e-36, 0.07490789, 9.706919e-35), (0.94208485, 0, 0.33537456, 0), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 28: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.99952555, 1.0151991e-18, 0.03080118, -3.1284174e-20), (0.94208485, 1.6482417e-34, 0.33537456, -3.5473118e-34), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -4.3297806e-17, 0.7071068)], 29: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.99999964, 2.7427435e-20, 0.00083214947, -2.2823734e-23), (0.94208485, -4.556414e-18, 0.33537456, -1.2799207e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -5.677449e-17, 0.7071068)], 30: [(6.123234e-17, 0.69984984, -4.3737645e-17, 0.71428996), (0.9999479, 1.9756056e-36, -0.010210691, -8.708908e-37), (0.94208485, -4.556414e-18, 0.33537456, -1.2799207e-17), (1, 0, 0, 0), (6.123235e-17, 0.7071068, -6.772901e-17, 0.7071068)], } half3[] scales = [(1, 1, 1), (1, 1, 1), (1, 1, 1), (1, 1, 1), (1, 1, 1)] float3[] translations = [(0.061816987, 0, -0.026598545), (3.0272298, -9.8607613e-32, 7.910339e-16), (3, -2.929001e-18, 1.0318135e-14), (3, -7.502302e-18, 1.03042574e-14), (1, -2.5007674e-18, 3.4347525e-15)] } over "joint1" { over "joint2" { over "joint3" { uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX", "xformOp:scale"] over "joint4" { over "joint5" { } } } } } } } def Xform "locator1" { } def Xform "locator2" { } def Scope "Looks" { def Material "OmniSurfaceLite" { token outputs:mdl:displacement.connect = </Root/Looks/OmniSurfaceLite/Shader.outputs:out> token outputs:mdl:surface.connect = </Root/Looks/OmniSurfaceLite/Shader.outputs:out> token outputs:mdl:volume.connect = </Root/Looks/OmniSurfaceLite/Shader.outputs:out> def Shader "Shader" { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @OmniSurfaceLite.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "OmniSurfaceLite" color3f inputs:diffuse_reflection_color = (0.7004219, 0.08275025, 0.08275025) ( customData = { float3 default = (1, 1, 1) } displayGroup = "Base" displayName = "Color" hidden = false ) token outputs:out } } } def Mesh "Plane" { int[] faceVertexCounts = [4] int[] faceVertexIndices = [0, 1, 3, 2] normal3f[] normals = [(0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, 0), (50, -50, 0), (-50, 50, 0), (50, 50, 0)] float2[] primvars:st = [(0, 0), (1, 0), (1, 1), (0, 1)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1000, 1000, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def RectLight "RectLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float height = 100 float intensity = 15000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float width = 100 double3 xformOp:rotateXYZ = (53.99999237060547, -0.0000021899320472584805, 61) double3 xformOp:scale = (1.0000005960464478, 1.000000238418579, 0.9999995827674866) double3 xformOp:translate = (59.30835, -103.104368, 51.199111) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def RectLight "RectLight_01" ( prepend apiSchemas = ["ShapingAPI"] ) { float height = 100 float intensity = 15000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float width = 100 double3 xformOp:rotateXYZ = (-46, -0.0000021899320472584805, 61) double3 xformOp:scale = (1.0000005960464478, 1.000000238418579, 0.9999995827674866) double3 xformOp:translate = (-88.599904, 21.100128, 51.199111) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/point_instancer_semantic_shapes.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 50000) double radius = 500 } dictionary Perspective = { double3 position = (25.320213923059804, 25.32022525282619, 25.32021392305995) double3 target = (-0.000003978038350282986, 0.00000795607681425281, -0.0000039780382046217255) } dictionary Right = { double3 position = (-50000, 0, 0) double radius = 500 } dictionary Top = { double3 position = (0, 50000, 0) double radius = 500 } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.01 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def Xform "prototypes" { token visibility = "invisible" def Xform "Cone" { def Cone "Cone" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] ) { string semantic:Semantics:params:semanticData = "cone_p" string semantic:Semantics:params:semanticType = "class" } } def Xform "Cube" { def Cube "Cube" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] ) { string semantic:Semantics:params:semanticData = "cube_p" string semantic:Semantics:params:semanticType = "class" } } } def PointInstancer "PI" { point3f[] positions = [(0, 10, 0), (10, 10, 0), (0, 10, 10), (10, 10, 10)] int[] protoIndices = [0, 0, 0, 1] rel prototypes = [ </World/PI/Xform/Cone>, </World/PI/Xform/Cube>, ] def Xform "Xform" { token visibility = "invisible" def "Cone" ( prepend references = </World/prototypes/Cone> ) { } def "Cube" ( prepend references = </World/prototypes/Cube> ) { } } } } def Xform "Environment" { double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file double3 xformOp:rotateXYZ = (315, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/cube_full_occlusion.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 50000) double radius = 500 } dictionary Perspective = { double3 position = (500, 500, 500) double3 target = (-0.00000397803842133726, 0.000007956076785831101, -0.000003978038307650422) } dictionary Right = { double3 position = (-50000, 0, 0) double radius = 500 } dictionary Top = { double3 position = (0, 50000, 0) double radius = 500 } string boundCamera = "/OmniverseKit_Front" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { float3 "rtx:debugView:pixelDebug:textColor" = (0, 1e18, 0) float3 "rtx:dynamicDiffuseGI:probeCounts" = (6, 6, 6) float3 "rtx:dynamicDiffuseGI:probeGridOrigin" = (-210, -250, -10) float3 "rtx:dynamicDiffuseGI:volumeSize" = (600, 440, 300) float3 "rtx:fog:fogColor" = (0.75, 0.75, 0.75) float3 "rtx:raytracing:inscattering:singleScatteringAlbedo" = (0.9, 0.9, 0.9) float3 "rtx:raytracing:inscattering:transmittanceColor" = (0.5, 0.5, 0.5) float3 "rtx:sceneDb:ambientLightColor" = (0.1, 0.1, 0.1) } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.01 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def Mesh "Cube" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 1, 3, 2, 0, 4, 5, 1, 1, 5, 6, 3, 2, 3, 6, 7, 0, 2, 7, 4, 4, 7, 6, 5] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (50, -50, -50), (-50, -50, 50), (50, -50, 50), (-50, 50, -50), (50, 50, -50), (50, 50, 50), (-50, 50, 50)] float2[] primvars:st = [(1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "Cube_01" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 1, 3, 2, 0, 4, 5, 1, 1, 5, 6, 3, 2, 3, 6, 7, 0, 2, 7, 4, 4, 7, 6, 5] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (50, -50, -50), (-50, -50, 50), (50, -50, 50), (-50, 50, -50), (50, 50, -50), (50, 50, 50), (-50, 50, 50)] float2[] primvars:st = [(1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 150) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def Xform "Environment" { double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file double3 xformOp:rotateXYZ = (315, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/BenchChair_SceneInstance_Mini.usda
#usda 1.0 ( customLayerData = { dictionary audioSettings = { double dopplerLimit = 2 double dopplerScale = 1 token enableDistanceDelay = "off" token enableDoppler = "off" double nonSpatialTimeScale = 1 double spatialTimeScale = 1 double speedOfSound = 340 } dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 1000) double radius = 500 double3 target = (0, 0, 0) } dictionary Perspective = { double3 position = (1980.5111035466489, 475.2360575421583, 2180.5243867717586) double radius = 2676.7526261935177 double3 target = (435.0872419642733, -1070.1877671536854, 635.100525189383) } dictionary Right = { double3 position = (-1000, 0, -2.220446049250313e-13) double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double3 position = (-8.659560562354932e-14, 1000, 2.220446049250313e-13) double radius = 500 double3 target = (0, 0, 0) } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { } } defaultPrim = "World" metersPerUnit = 0.009999999776482582 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] kind = "model" ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateZYX = (315, 0, 0) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateZYX"] } def Xform "Prototypes" { token visibility = "invisible" def Xform "bench" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./bench_golden.usd@ ) { string semantic:Semantics:params:semanticData = "bench" string semantic:Semantics:params:semanticType = "class" } def Xform "sofa" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./sofa_golden.usd@ ) { string semantic:Semantics:params:semanticData = "sofa" string semantic:Semantics:params:semanticType = "class" } } def "Objects" { def Xform "obj_667" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./bench_golden.usd@ ) { string semantic:Semantics:params:semanticData = "bench" string semantic:Semantics:params:semanticType = "class" float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (1334, 0, 1700) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:scale"] } def Xform "obj_716" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./sofa_golden.usd@ ) { string semantic:Semantics:params:semanticData = "sofa" string semantic:Semantics:params:semanticType = "class" float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (1432, 0, 1600) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:scale"] } def Xform "obj_717" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./sofa_golden.usd@ ) { string semantic:Semantics:params:semanticData = "sofa" string semantic:Semantics:params:semanticType = "class" float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (1434, 0, 1700) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:scale"] } def Xform "obj_767" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] instanceable = true references = @./bench_golden.usd@ ) { string semantic:Semantics:params:semanticData = "bench" string semantic:Semantics:params:semanticType = "class" float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (1534, 0, 1700) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:scale"] } } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/cross_correspondence.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 50000) double radius = 500 } dictionary Perspective = { double3 position = (500, 500, 499.99999999999983) double3 target = (-1.1368683772161603e-13, -2.2737367544323206e-13, 2.8421709430404007e-13) } dictionary Right = { double3 position = (-50000, 0, -1.1102230246251565e-11) double radius = 500 } dictionary Top = { double3 position = (-4.329780281177466e-12, 50000, 1.1102230246251565e-11) double radius = 500 } string boundCamera = "/World/Cameras/CameraFisheyeLeft" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { bool "rtx:directLighting:enabled" = 0 int "rtx:ecoMode:maxFramesWithoutChange" = 5 bool "rtx:hydra:enableSemanticSchema" = 1 bool "rtx:reflections:enabled" = 0 bool "rtx:translucency:enabled" = 0 bool "rtx:raytracing:autoToggleDenoiserSettings" = 0 } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.01 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def Scope "Cameras" { def Camera "CameraFisheyeLeft" { token cameraProjectionType = "fisheyePolynomial" ( allowedTokens = ["pinhole", "fisheyeOrthographic", "fisheyeEquidistant", "fisheyeEquisolid", "fisheyePolynomial", "fisheyeSpherical"] ) string crossCameraReferenceName = "CameraFisheyeRight" float focalLength = 24 float focusDistance = 400 float horizontalAperture = 20.955 float verticalAperture = 11.764211 double3 xformOp:rotateXYZ = (-10, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (-10, 4, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Camera "CameraPinhole" { float focalLength = 24 float focusDistance = 400 float horizontalAperture = 20.955 float verticalAperture = 11.770693 double3 xformOp:rotateXYZ = (-9.999999999999982, -0, 0) double3 xformOp:scale = (1, 0.9999999999999999, 0.9999999999999999) double3 xformOp:translate = (10, 3.999999999999968, -1.4210854715202004e-14) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Camera "CameraFisheyeRight" { token cameraProjectionType = "fisheyePolynomial" ( allowedTokens = ["pinhole", "fisheyeOrthographic", "fisheyeEquidistant", "fisheyeEquisolid", "fisheyePolynomial", "fisheyeSpherical"] ) string crossCameraReferenceName = "CameraFisheyeLeft" float focalLength = 24 float focusDistance = 400 float horizontalAperture = 20.955 float verticalAperture = 11.807976 double3 xformOp:rotateXYZ = (-10, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 4, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def Mesh "Plane" { int[] faceVertexCounts = [4] int[] faceVertexIndices = [0, 2, 3, 1] rel material:binding = </World/Looks/OmniPBR_green> ( bindMaterialAs = "weakerThanDescendants" ) normal3f[] normals = [(0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, 0, -50), (50, 0, -50), (-50, 0, 50), (50, 0, 50)] float2[] primvars:st = [(1, 0), (1, 1), (0, 1), (0, 0)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (11.937299728393555, 1, 11.937299728393555) double3 xformOp:translate = (0, -1.29846, -588.602) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "Cone" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [0, 32, 33, 1, 1, 33, 34, 2, 2, 34, 35, 3, 3, 35, 36, 4, 4, 36, 37, 5, 5, 37, 38, 6, 6, 38, 39, 7, 7, 39, 40, 8, 8, 40, 41, 9, 9, 41, 42, 10, 10, 42, 43, 11, 11, 43, 44, 12, 12, 44, 45, 13, 13, 45, 46, 14, 14, 46, 47, 15, 15, 47, 48, 16, 16, 48, 49, 17, 17, 49, 50, 18, 18, 50, 51, 19, 19, 51, 52, 20, 20, 52, 53, 21, 21, 53, 54, 22, 22, 54, 55, 23, 23, 55, 56, 24, 24, 56, 57, 25, 25, 57, 58, 26, 26, 58, 59, 27, 27, 59, 60, 28, 28, 60, 61, 29, 29, 61, 62, 30, 30, 62, 63, 31, 31, 63, 32, 0, 32, 64, 65, 33, 33, 65, 66, 34, 34, 66, 67, 35, 35, 67, 68, 36, 36, 68, 69, 37, 37, 69, 70, 38, 38, 70, 71, 39, 39, 71, 72, 40, 40, 72, 73, 41, 41, 73, 74, 42, 42, 74, 75, 43, 43, 75, 76, 44, 44, 76, 77, 45, 45, 77, 78, 46, 46, 78, 79, 47, 47, 79, 80, 48, 48, 80, 81, 49, 49, 81, 82, 50, 50, 82, 83, 51, 51, 83, 84, 52, 52, 84, 85, 53, 53, 85, 86, 54, 54, 86, 87, 55, 55, 87, 88, 56, 56, 88, 89, 57, 57, 89, 90, 58, 58, 90, 91, 59, 59, 91, 92, 60, 60, 92, 93, 61, 61, 93, 94, 62, 62, 94, 95, 63, 63, 95, 64, 32, 64, 96, 97, 65, 65, 97, 98, 66, 66, 98, 99, 67, 67, 99, 100, 68, 68, 100, 101, 69, 69, 101, 102, 70, 70, 102, 103, 71, 71, 103, 104, 72, 72, 104, 105, 73, 73, 105, 106, 74, 74, 106, 107, 75, 75, 107, 108, 76, 76, 108, 109, 77, 77, 109, 110, 78, 78, 110, 111, 79, 79, 111, 112, 80, 80, 112, 113, 81, 81, 113, 114, 82, 82, 114, 115, 83, 83, 115, 116, 84, 84, 116, 117, 85, 85, 117, 118, 86, 86, 118, 119, 87, 87, 119, 120, 88, 88, 120, 121, 89, 89, 121, 122, 90, 90, 122, 123, 91, 91, 123, 124, 92, 92, 124, 125, 93, 93, 125, 126, 94, 94, 126, 127, 95, 95, 127, 96, 64, 96, 128, 129, 97, 97, 129, 130, 98, 98, 130, 131, 99, 99, 131, 132, 100, 100, 132, 133, 101, 101, 133, 134, 102, 102, 134, 135, 103, 103, 135, 136, 104, 104, 136, 137, 105, 105, 137, 138, 106, 106, 138, 139, 107, 107, 139, 140, 108, 108, 140, 141, 109, 109, 141, 142, 110, 110, 142, 143, 111, 111, 143, 144, 112, 112, 144, 145, 113, 113, 145, 146, 114, 114, 146, 147, 115, 115, 147, 148, 116, 116, 148, 149, 117, 117, 149, 150, 118, 118, 150, 151, 119, 119, 151, 152, 120, 120, 152, 153, 121, 121, 153, 154, 122, 122, 154, 155, 123, 123, 155, 156, 124, 124, 156, 157, 125, 125, 157, 158, 126, 126, 158, 159, 127, 127, 159, 128, 96, 160, 161, 162, 160, 162, 163, 160, 163, 164, 160, 164, 165, 160, 165, 166, 160, 166, 167, 160, 167, 168, 160, 168, 169, 160, 169, 170, 160, 170, 171, 160, 171, 172, 160, 172, 173, 160, 173, 174, 160, 174, 175, 160, 175, 176, 160, 176, 177, 160, 177, 178, 160, 178, 179, 160, 179, 180, 160, 180, 181, 160, 181, 182, 160, 182, 183, 160, 183, 184, 160, 184, 185, 160, 185, 186, 160, 186, 187, 160, 187, 188, 160, 188, 189, 160, 189, 190, 160, 190, 191, 160, 191, 192, 160, 192, 161] rel material:binding = </World/Looks/OmniPBR_blue> ( bindMaterialAs = "weakerThanDescendants" ) normal3f[] normals = [(0.8944272, 0.4472136, 0), (0.89442724, 0.44721362, 0), (0.8772411, 0.44721362, 0.17449394), (0.877241, 0.4472136, 0.17449391), (0.877241, 0.4472136, 0.17449391), (0.8772411, 0.44721362, 0.17449394), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.44721362, 0.34228215), (0.8263431, 0.44721362, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.7436893, 0.4472136, 0.49691668), (0.74368936, 0.44721362, 0.4969167), (0.74368936, 0.44721362, 0.4969167), (0.7436893, 0.4472136, 0.49691668), (0.632456, 0.44721362, 0.63245505), (0.632456, 0.44721365, 0.63245505), (0.632456, 0.44721365, 0.63245505), (0.632456, 0.44721362, 0.63245505), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.34228343, 0.4472136, 0.8263426), (0.34228346, 0.44721362, 0.8263426), (0.34228346, 0.44721362, 0.8263426), (0.34228343, 0.4472136, 0.8263426), (0.1744953, 0.4472136, 0.8772408), (0.17449528, 0.4472136, 0.8772408), (0.17449528, 0.4472136, 0.8772408), (0.1744953, 0.4472136, 0.8772408), (0.0000014049631, 0.44721362, 0.89442724), (0.0000014049629, 0.4472136, 0.8944272), (0.0000014049629, 0.4472136, 0.8944272), (0.0000014049631, 0.44721362, 0.89442724), (-0.17449255, 0.44721356, 0.8772414), (-0.17449254, 0.44721362, 0.8772414), (-0.17449254, 0.44721362, 0.8772414), (-0.17449255, 0.44721356, 0.8772414), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.4969155, 0.44721362, 0.74369013), (-0.49691552, 0.4472136, 0.74369013), (-0.49691552, 0.4472136, 0.74369013), (-0.4969155, 0.44721362, 0.74369013), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.74368775, 0.4472136, 0.496919), (-0.7436878, 0.44721362, 0.49691904), (-0.7436878, 0.44721362, 0.49691904), (-0.74368775, 0.4472136, 0.496919), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.89442724, 0.44721362, 0.0000028099262), (-0.8944272, 0.4472136, 0.0000028099257), (-0.8944272, 0.4472136, 0.0000028099257), (-0.89442724, 0.44721362, 0.0000028099262), (-0.8772417, 0.44721356, -0.17449118), (-0.8772416, 0.4472136, -0.17449117), (-0.8772416, 0.4472136, -0.17449117), (-0.8772417, 0.44721356, -0.17449118), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.63245803, 0.44721362, -0.632453), (-0.632458, 0.4472136, -0.632453), (-0.632458, 0.4472136, -0.632453), (-0.63245803, 0.44721362, -0.632453), (-0.4969202, 0.4472136, -0.743687), (-0.4969202, 0.44721362, -0.743687), (-0.4969202, 0.44721362, -0.743687), (-0.4969202, 0.4472136, -0.743687), (-0.34228605, 0.4472136, -0.8263415), (-0.34228605, 0.44721362, -0.8263415), (-0.34228605, 0.44721362, -0.8263415), (-0.34228605, 0.4472136, -0.8263415), (-0.17449805, 0.4472136, -0.8772402), (-0.17449804, 0.44721362, -0.87724024), (-0.17449804, 0.44721362, -0.87724024), (-0.17449805, 0.4472136, -0.8772402), (-0.000004214889, 0.44721362, -0.89442724), (-0.0000042148886, 0.4472136, -0.8944272), (-0.0000042148886, 0.4472136, -0.8944272), (-0.000004214889, 0.44721362, -0.89442724), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.34227827, 0.44721356, -0.8263447), (0.34227827, 0.4472136, -0.8263448), (0.34227827, 0.4472136, -0.8263448), (0.34227827, 0.44721356, -0.8263447), (0.4969132, 0.4472136, -0.7436916), (0.4969132, 0.4472136, -0.7436917), (0.4969132, 0.4472136, -0.7436917), (0.4969132, 0.4472136, -0.7436916), (0.6324521, 0.44721362, -0.632459), (0.6324521, 0.4472136, -0.63245904), (0.6324521, 0.4472136, -0.63245904), (0.6324521, 0.44721362, -0.632459), (0.7436862, 0.4472136, -0.49692136), (0.74368626, 0.44721362, -0.4969214), (0.74368626, 0.44721362, -0.4969214), (0.7436862, 0.4472136, -0.49692136), (0.826341, 0.4472136, -0.34228733), (0.826341, 0.44721362, -0.34228733), (0.826341, 0.44721362, -0.34228733), (0.826341, 0.4472136, -0.34228733), (0.87723994, 0.4472136, -0.17449942), (0.87723994, 0.44721362, -0.17449942), (0.87723994, 0.44721362, -0.17449942), (0.87723994, 0.4472136, -0.17449942), (0.89442724, 0.44721362, 0), (0.8944272, 0.4472136, 0), (0.89442724, 0.44721362, 0), (0.8944272, 0.4472136, 0), (0.877241, 0.44721356, 0.17449391), (0.8772411, 0.44721362, 0.17449394), (0.8772411, 0.44721362, 0.17449394), (0.877241, 0.44721356, 0.17449391), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), 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(0.03125097, 0.999999), (0, 0.999999), (0, 0.7499992), (0.5, 0.5), (1, 0.5), (0.9903927, 0.5975451), (0.5, 0.5), (0.9903927, 0.5975451), (0.9619398, 0.6913415), (0.5, 0.5), (0.9619398, 0.6913415), (0.91573495, 0.7777849), (0.5, 0.5), (0.91573495, 0.7777849), (0.85355365, 0.8535531), (0.5, 0.5), (0.85355365, 0.8535531), (0.77778554, 0.9157345), (0.5, 0.5), (0.77778554, 0.9157345), (0.69134223, 0.9619395), (0.5, 0.5), (0.69134223, 0.9619395), (0.59754586, 0.9903925), (0.5, 0.5), (0.59754586, 0.9903925), (0.5000008, 1), (0.5, 0.5), (0.5000008, 1), (0.40245572, 0.9903928), (0.5, 0.5), (0.40245572, 0.9903928), (0.3086592, 0.96194017), (0.5, 0.5), (0.3086592, 0.96194017), (0.22221579, 0.9157354), (0.5, 0.5), (0.22221579, 0.9157354), (0.14644744, 0.85355425), (0.5, 0.5), (0.14644744, 0.85355425), (0.0842659, 0.7777862), (0.5, 0.5), (0.0842659, 0.7777862), (0.03806076, 0.691343), (0.5, 0.5), (0.03806076, 0.691343), (0.009607648, 0.5975466), (0.5, 0.5), (0.009607648, 0.5975466), (2.4674152e-12, 0.50000155), (0.5, 0.5), (2.4674152e-12, 0.50000155), (0.009607034, 0.40245646), (0.5, 0.5), (0.009607034, 0.40245646), (0.03805956, 0.3086599), (0.5, 0.5), (0.03805956, 0.3086599), (0.08426416, 0.22221643), (0.5, 0.5), (0.08426416, 0.22221643), (0.14644521, 0.146448), (0.5, 0.5), (0.14644521, 0.146448), (0.22221316, 0.08426634), (0.5, 0.5), (0.22221316, 0.08426634), (0.30865628, 0.03806106), (0.5, 0.5), (0.30865628, 0.03806106), (0.40245262, 0.0096078), (0.5, 0.5), (0.40245262, 0.0096078), (0.49999765, 5.5516702e-12), (0.5, 0.5), (0.49999765, 5.5516702e-12), (0.59754276, 0.009606881), (0.5, 0.5), (0.59754276, 0.009606881), (0.6913394, 0.038059257), (0.5, 0.5), (0.6913394, 0.038059257), (0.7777829, 0.08426372), (0.5, 0.5), (0.7777829, 0.08426372), (0.85355145, 0.14644466), (0.5, 0.5), (0.85355145, 0.14644466), (0.9157332, 0.22221252), (0.5, 0.5), (0.9157332, 0.22221252), (0.9619386, 0.30865556), (0.5, 0.5), (0.9619386, 0.30865556), (0.990392, 0.40245184), (0.5, 0.5), (0.990392, 0.40245184), (1, 0.5)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (0.03, 0.2, 0.029999999329447746) double3 xformOp:translate = (-5.67828, 0, -4.58463) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "Cube" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 1, 3, 2, 0, 4, 5, 1, 1, 5, 6, 3, 2, 3, 6, 7, 0, 2, 7, 4, 4, 7, 6, 5] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (50, -50, -50), (-50, -50, 50), (50, -50, 50), (-50, 50, -50), (50, 50, -50), (50, 50, 50), (-50, 50, 50)] float2[] primvars:st = [(1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (0.30000001192092896, 0.029999999329447746, 0.029999999329447746) double3 xformOp:translate = (-6.36188, 0, -8.10291) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "CubeBackground" { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4] int[] faceVertexIndices = [0, 1, 3, 2, 0, 4, 5, 1, 1, 5, 6, 3, 2, 3, 6, 7, 0, 2, 7, 4, 4, 7, 6, 5] normal3f[] normals = [(0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0), (0, 1, 0)] ( interpolation = "faceVarying" ) point3f[] points = [(-50, -50, -50), (50, -50, -50), (-50, -50, 50), (50, -50, 50), (-50, 50, -50), (50, 50, -50), (50, 50, 50), (-50, 50, 50)] float2[] primvars:st = [(1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (0, 0), (0, 1), (1, 1), (1, 0), (1, 1), (0, 1), (0, 0), (1, 0), (1, 1), (0, 1), (0, 0)] ( interpolation = "faceVarying" ) uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (20, 2, 1) double3 xformOp:translate = (-6.36188, 0, -320) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/maya2_atlas_road_tile_237_01.usd2.usda
#usda 1.0 ( defaultPrim = "atlas_road_tile_237_01_usd2" upAxis = "Y" ) def "atlas_road_tile_237_01_usd2" ( kind = "component" ) { def Xform "SceneNode" ( kind = "group" ) { def Xform "Tile_0_0Node" ( kind = "group" ) { def Xform "RoadsNode" ( kind = "group" ) { def Xform "Road_RoadNode" ( kind = "group" ) { def Mesh "Road_Road_Layer0Node" ( prepend apiSchemas = ["ShadowAPI"] kind = "component" ) { bool primvars:materialFlattening_isBaseMesh = 1 float3[] extent = [(-35.747242, -0.095022194, -365.21683), (-7.774334, -3.3177234e-14, -265.1001)] int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 3, 4, 3, 4, 3, 3, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [0, 2, 1, 0, 3, 2, 0, 4, 3, 5, 4, 0, 6, 4, 5, 7, 6, 5, 6, 8, 4, 4, 8, 9, 4, 9, 3, 9, 10, 3, 9, 11, 10, 12, 11, 9, 8, 12, 9, 11, 12, 13, 11, 13, 14, 15, 11, 14, 15, 14, 16, 15, 16, 17, 10, 15, 17, 10, 17, 18, 10, 18, 3, 3, 18, 2, 10, 11, 15, 14, 127, 128, 16, 13, 131, 130, 14, 19, 133, 132, 13, 12, 19, 13, 20, 22, 21, 22, 20, 23, 24, 22, 23, 25, 24, 23, 26, 25, 23, 27, 26, 23, 27, 23, 20, 28, 27, 20, 29, 27, 28, 27, 30, 26, 30, 25, 26, 25, 31, 24, 25, 32, 31, 32, 33, 31, 31, 33, 34, 31, 34, 35, 24, 31, 35, 24, 35, 36, 37, 24, 36, 22, 24, 37, 35, 38, 36, 34, 38, 35, 39, 38, 34, 40, 39, 34, 33, 40, 34, 40, 134, 135, 39, 39, 135, 136, 39, 136, 137, 38, 38, 137, 138, 38, 138, 139, 41, 36, 38, 41, 41, 139, 140, 126, 43, 42, 125, 42, 43, 44, 43, 45, 44, 45, 46, 44, 44, 46, 47, 46, 48, 47, 47, 48, 49, 48, 50, 49, 49, 50, 51, 50, 52, 51, 52, 53, 51, 53, 54, 51, 55, 54, 53, 55, 56, 54, 55, 57, 56, 56, 57, 58, 57, 59, 58, 58, 59, 60, 59, 61, 60, 60, 61, 62, 61, 63, 62, 62, 63, 64, 63, 65, 64, 64, 65, 66, 65, 67, 66, 66, 67, 68, 67, 69, 68, 69, 70, 68, 71, 70, 69, 71, 72, 70, 73, 72, 71, 73, 71, 74, 75, 73, 74, 74, 76, 75, 77, 76, 74, 77, 74, 78, 78, 74, 79, 79, 74, 80, 80, 74, 71, 77, 81, 76, 81, 82, 76, 82, 83, 76, 76, 83, 84, 76, 84, 75, 84, 85, 75, 86, 85, 84, 83, 86, 84, 75, 85, 87, 75, 87, 88, 89, 75, 88, 75, 89, 90, 75, 90, 91, 75, 91, 73, 73, 91, 92, 73, 92, 93, 94, 73, 93, 95, 73, 94, 73, 95, 96, 73, 96, 97, 72, 73, 97, 72, 97, 98, 72, 98, 99, 72, 99, 100, 100, 99, 101, 99, 102, 101, 99, 103, 102, 98, 103, 99, 104, 103, 98, 97, 104, 98, 105, 104, 97, 97, 106, 105, 97, 107, 106, 97, 96, 107, 105, 108, 104, 104, 108, 109, 104, 109, 110, 104, 110, 111, 104, 111, 112, 104, 112, 113, 104, 113, 114, 104, 114, 115, 115, 116, 104, 104, 116, 103, 103, 116, 117, 103, 117, 102, 102, 117, 118, 118, 119, 102, 102, 119, 101, 116, 120, 117, 120, 121, 117, 87, 122, 88, 122, 87, 123, 124, 125, 42, 129, 127, 14, 130, 129, 14, 13, 132, 131] rel material:binding = </atlas_road_tile_237_01_usd2/Looks/lambert> # normal3f[] normals = [(-3.6485125e-22, -1, -6.1232144e-17), (7.529882e-22, -1, -6.1233e-17), (-6.1415184e-21, -1, -6.1231376e-17), (-3.6485125e-22, -1, -6.1232144e-17), (2.4111807e-22, -1, -6.123268e-17), (7.529882e-22, -1, -6.1233e-17), (-3.6485125e-22, -1, -6.1232144e-17), (-1.2104193e-23, -1, -6.1232594e-17), (2.4111807e-22, -1, -6.123268e-17), (4.05927e-22, -1, -6.1232124e-17), (-1.2104193e-23, -1, -6.1232594e-17), (-3.6485125e-22, -1, -6.1232144e-17), (-6.78704e-24, -1, -6.123258e-17), (-1.2104193e-23, -1, -6.1232594e-17), (4.05927e-22, -1, -6.1232124e-17), (6.6063483e-22, -1, -6.1232045e-17), (-6.78704e-24, -1, -6.123258e-17), (4.05927e-22, -1, -6.1232124e-17), (-6.78704e-24, -1, -6.123258e-17), (2.1114811e-22, -1, -6.123226e-17), (-1.2104193e-23, -1, -6.1232594e-17), (-1.2104193e-23, -1, -6.1232594e-17), (2.1114811e-22, -1, -6.123226e-17), (1.1864844e-22, -1, -6.1232296e-17), (-1.2104193e-23, -1, -6.1232594e-17), (1.1864844e-22, -1, -6.1232296e-17), (2.4111807e-22, -1, -6.123268e-17), (1.1864844e-22, -1, -6.1232296e-17), (-8.300981e-23, -1, -6.1232276e-17), (2.4111807e-22, -1, -6.123268e-17), (1.1864844e-22, -1, -6.1232296e-17), (9.958789e-24, -1, -6.123247e-17), (-8.300981e-23, -1, -6.1232276e-17), (3.651635e-23, -1, -6.123238e-17), (9.958789e-24, -1, -6.123247e-17), (1.1864844e-22, -1, -6.1232296e-17), (2.1114811e-22, -1, -6.123226e-17), (3.651635e-23, -1, -6.123238e-17), (1.1864844e-22, -1, -6.1232296e-17), (9.958789e-24, -1, -6.123247e-17), (3.651635e-23, -1, -6.123238e-17), (5.660923e-23, -1, -6.1232554e-17), (9.958789e-24, -1, -6.123247e-17), (5.660923e-23, -1, -6.1232554e-17), (-1.2073672e-23, -1, -6.123245e-17), (-2.1764144e-23, -1, -6.123258e-17), (9.958789e-24, -1, -6.123247e-17), (-1.2073672e-23, -1, -6.123245e-17), (-2.1764144e-23, -1, -6.123258e-17), (-1.2073672e-23, -1, -6.123245e-17), (-8.427858e-22, -1, -6.1232243e-17), (-2.1764144e-23, -1, -6.123258e-17), (-8.427858e-22, -1, -6.1232243e-17), (-2.2203574e-22, -1, -6.1232396e-17), (-8.300981e-23, -1, -6.1232276e-17), (-2.1764144e-23, -1, -6.123258e-17), (-2.2203574e-22, -1, -6.1232396e-17), (-8.300981e-23, -1, -6.1232276e-17), (-2.2203574e-22, -1, -6.1232396e-17), (-1.2202113e-21, -1, -6.1232296e-17), (-8.300981e-23, -1, -6.1232276e-17), (-1.2202113e-21, -1, -6.1232296e-17), (2.4111807e-22, -1, -6.123268e-17), (2.4111807e-22, -1, -6.123268e-17), (-1.2202113e-21, -1, -6.1232296e-17), (7.529882e-22, -1, -6.1233e-17), (-8.300981e-23, -1, -6.1232276e-17), (9.958789e-24, -1, -6.123247e-17), (-2.1764144e-23, -1, -6.123258e-17), (-1.2073672e-23, -1, -6.123245e-17), (-1.2618686e-21, -1, -6.123295e-17), (-1.8251399e-21, -1, -6.123253e-17), (-8.427858e-22, -1, -6.1232243e-17), (5.660923e-23, -1, -6.1232554e-17), (1.8698818e-22, -1, -6.1232614e-17), (2.3010313e-22, -1, -6.123252e-17), (-1.2073672e-23, -1, -6.123245e-17), (-2.919419e-23, -1, -6.123274e-17), (-6.215274e-23, -1, -6.123288e-17), (-4.924853e-23, -1, -6.1232806e-17), (5.660923e-23, -1, -6.1232554e-17), (3.651635e-23, -1, -6.123238e-17), (-2.919419e-23, -1, -6.123274e-17), (5.660923e-23, -1, -6.1232554e-17), (4.1524664e-22, -1, -6.123251e-17), (-5.2696045e-22, -1, -6.123212e-17), (6.1782586e-22, -1, -6.1232316e-17), (-5.2696045e-22, -1, -6.123212e-17), (4.1524664e-22, -1, -6.123251e-17), (-2.509189e-22, -1, -6.123247e-17), (-9.267729e-23, -1, -6.123226e-17), (-5.2696045e-22, -1, -6.123212e-17), (-2.509189e-22, -1, -6.123247e-17), (-3.6432934e-25, -1, -6.123283e-17), (-9.267729e-23, -1, -6.123226e-17), (-2.509189e-22, -1, -6.123247e-17), (-1.7392807e-22, -1, -6.123247e-17), (-3.6432934e-25, -1, -6.123283e-17), (-2.509189e-22, -1, -6.123247e-17), (3.3923922e-22, -1, -6.1232846e-17), (-1.7392807e-22, -1, -6.123247e-17), (-2.509189e-22, -1, -6.123247e-17), (3.3923922e-22, -1, -6.1232846e-17), (-2.509189e-22, -1, -6.123247e-17), (4.1524664e-22, -1, -6.123251e-17), (-7.027061e-23, -1, -6.123144e-17), (3.3923922e-22, -1, -6.1232846e-17), (4.1524664e-22, -1, -6.123251e-17), (-1.5260621e-21, -1, -6.1233236e-17), (3.3923922e-22, -1, -6.1232846e-17), (-7.027061e-23, -1, -6.123144e-17), (3.3923922e-22, -1, -6.1232846e-17), (-1.1997939e-21, -1, -6.123334e-17), (-1.7392807e-22, -1, -6.123247e-17), (-1.1997939e-21, -1, -6.123334e-17), (-3.6432934e-25, -1, -6.123283e-17), (-1.7392807e-22, -1, -6.123247e-17), (-3.6432934e-25, -1, -6.123283e-17), (-2.6044332e-22, -1, -6.123202e-17), (-9.267729e-23, -1, -6.123226e-17), (-3.6432934e-25, -1, -6.123283e-17), (-1.0744059e-21, -1, -6.123282e-17), (-2.6044332e-22, -1, -6.123202e-17), (-1.0744059e-21, -1, -6.123282e-17), (-1.2274267e-21, -1, -6.123218e-17), (-2.6044332e-22, -1, -6.123202e-17), (-2.6044332e-22, -1, -6.123202e-17), (-1.2274267e-21, -1, -6.123218e-17), (5.567601e-23, -1, -6.123245e-17), (-2.6044332e-22, -1, -6.123202e-17), (5.567601e-23, -1, -6.123245e-17), (-8.533897e-23, -1, -6.123256e-17), (-9.267729e-23, -1, -6.123226e-17), (-2.6044332e-22, -1, -6.123202e-17), (-8.533897e-23, -1, -6.123256e-17), (-9.267729e-23, -1, -6.123226e-17), (-8.533897e-23, -1, -6.123256e-17), (-6.5070306e-22, -1, -6.123245e-17), (0, -1, -6.123225e-17), (-9.267729e-23, -1, -6.123226e-17), (-6.5070306e-22, -1, -6.123245e-17), (-5.2696045e-22, -1, -6.123212e-17), (-9.267729e-23, -1, -6.123226e-17), (0, -1, -6.123225e-17), (-8.533897e-23, -1, -6.123256e-17), (-2.9179283e-22, -1, -6.123202e-17), (-6.5070306e-22, -1, -6.123245e-17), (5.567601e-23, -1, -6.123245e-17), (-2.9179283e-22, -1, -6.123202e-17), (-8.533897e-23, -1, -6.123256e-17), (-5.4073646e-24, -1, -6.1232144e-17), (-2.9179283e-22, -1, -6.123202e-17), (5.567601e-23, -1, -6.123245e-17), (-3.0518842e-22, -1, -6.1232085e-17), (-5.4073646e-24, -1, -6.1232144e-17), (5.567601e-23, -1, -6.123245e-17), (-1.2274267e-21, -1, -6.123218e-17), (-3.0518842e-22, -1, -6.1232085e-17), (5.567601e-23, -1, -6.123245e-17), (-3.0518842e-22, -1, -6.1232085e-17), (-6.3589767e-22, -1, -6.123223e-17), (-5.249384e-22, -1, -6.1232316e-17), (-5.4073646e-24, -1, -6.1232144e-17), (-5.4073646e-24, -1, -6.1232144e-17), (-5.249384e-22, -1, -6.1232316e-17), (1.8075093e-22, -1, -6.123122e-17), (-5.4073646e-24, -1, -6.1232144e-17), (1.8075093e-22, -1, -6.123122e-17), (4.2133902e-22, -1, -6.1231376e-17), (-2.9179283e-22, -1, -6.123202e-17), (-2.9179283e-22, -1, -6.123202e-17), (4.2133902e-22, -1, -6.1231376e-17), (-2.4263678e-23, -1, -6.123272e-17), (-2.9179283e-22, -1, -6.123202e-17), (-2.4263678e-23, -1, -6.123272e-17), (-6.469645e-22, -1, -6.123231e-17), (-7.7175103e-22, -1, -6.123143e-17), (-6.5070306e-22, -1, -6.123245e-17), (-2.9179283e-22, -1, -6.123202e-17), (-7.7175103e-22, -1, -6.123143e-17), (-7.7175103e-22, -1, -6.123143e-17), (-6.469645e-22, -1, -6.123231e-17), (0, -1, -6.123195e-17), (0.00045326314, -0.9999712, 0.007577902), (0.00042736702, -0.9999752, 0.0070428797), (0.00045143615, -0.9999751, 0.007046324), (0.0004548705, -0.9999712, 0.0075880517), (0.00045143615, -0.9999751, 0.007046324), (0.00042736702, -0.9999752, 0.0070428797), (0.00039287584, -0.99998075, 0.0062020435), (0.00042736702, -0.9999752, 0.0070428797), (0.00037355695, -0.99998057, 0.006235507), (0.00039287584, -0.99998075, 0.0062020435), (0.00037355695, -0.99998057, 0.006235507), (0.00030642014, -0.99998564, 0.0053476244), (0.00039287584, -0.99998075, 0.0062020435), (0.00039287584, -0.99998075, 0.0062020435), (0.00030642014, -0.99998564, 0.0053476244), (0.00031123572, -0.99998766, 0.004964043), (0.00030642014, -0.99998564, 0.0053476244), (0.00016780948, -0.9999923, 0.0039284313), (0.00031123572, -0.99998766, 0.004964043), (0.00031123572, -0.99998766, 0.004964043), (0.00016780948, -0.9999923, 0.0039284313), (0.00025444385, -0.99999577, 0.0029239277), (0.00016780948, -0.9999923, 0.0039284313), (0.00016328246, -0.9999963, 0.0027547868), (0.00025444385, -0.99999577, 0.0029239277), (0.00025444385, -0.99999577, 0.0029239277), (0.00016328246, -0.9999963, 0.0027547868), (0.0002604198, -0.9999976, 0.0021712906), (0.00016328246, -0.9999963, 0.0027547868), (0.00012358239, -0.99999875, 0.0016435258), (0.0002604198, -0.9999976, 0.0021712906), (0.00012358239, -0.99999875, 0.0016435258), (0.00002970595, -0.9999995, 0.001075443), (0.0002604198, -0.9999976, 0.0021712906), (0.00002970595, -0.9999995, 0.001075443), (0.0000016438415, -0.9999998, 0.0007153118), (0.0002604198, -0.9999976, 0.0021712906), (0.0000039594647, -0.99999976, 0.0007448297), (0.0000016438415, -0.9999998, 0.0007153118), (0.00002970595, -0.9999995, 0.001075443), (0.0000039594647, -0.99999976, 0.0007448297), (0.000014449269, -0.9999998, 0.0006479358), (0.0000016438415, -0.9999998, 0.0007153118), (0.0000039594647, -0.99999976, 0.0007448297), (0.000010262533, -0.99999976, 0.00068328646), (0.000014449269, -0.9999998, 0.0006479358), (0.000014449269, -0.9999998, 0.0006479358), (0.000010262533, -0.99999976, 0.00068328646), (0.000015461319, -0.9999999, 0.0005679259), (0.000010262533, -0.99999976, 0.00068328646), (0.00001982972, -0.99999994, 0.00057249767), (0.000015461319, -0.9999999, 0.0005679259), (0.000015461319, -0.9999999, 0.0005679259), (0.00001982972, -0.99999994, 0.00057249767), (0.0000150695105, -0.99999994, 0.00045836007), (0.00001982972, -0.99999994, 0.00057249767), (0.00002379181, -0.9999999, 0.00047548526), (0.0000150695105, -0.99999994, 0.00045836007), (0.0000150695105, -0.99999994, 0.00045836007), (0.00002379181, -0.9999999, 0.00047548526), (0.0000149502785, -0.99999994, 0.00035524007), (0.00002379181, -0.9999999, 0.00047548526), (0.000019594603, -1, 0.00037781993), (0.0000149502785, -0.99999994, 0.00035524007), (0.0000149502785, -0.99999994, 0.00035524007), (0.000019594603, -1, 0.00037781993), (0.000016491604, -1, 0.0002861417), (0.000019594603, -1, 0.00037781993), (0.00001686244, -1, 0.00028836742), (0.000016491604, -1, 0.0002861417), (0.000016491604, -1, 0.0002861417), (0.00001686244, -1, 0.00028836742), (0.000015013587, -1, 0.00021947335), (0.00001686244, -1, 0.00028836742), (0.00001391493, -1, 0.00021107642), (0.000015013587, -1, 0.00021947335), (0.000015013587, -1, 0.00021947335), (0.00001391493, -1, 0.00021107642), (0.000010226686, -1, 0.00010994751), (0.00001391493, -1, 0.00021107642), (0.000013909594, -1, 0.00012925663), (0.000010226686, -1, 0.00010994751), (0.000013909594, -1, 0.00012925663), (0.0000010018234, -1, 0.00003147856), (0.000010226686, -1, 0.00010994751), (0.000004974253, -1, 0.000032391978), (0.0000010018234, -1, 0.00003147856), (0.000013909594, -1, 0.00012925663), (0.000004974253, -1, 0.000032391978), (-0.0000029387127, -1, 0.000002435062), (0.0000010018234, -1, 0.00003147856), (-0.0000017330298, -1, 0.0000038507283), (-0.0000029387127, -1, 0.000002435062), (0.000004974253, -1, 0.000032391978), (-0.0000017330298, -1, 0.0000038507283), (0.000004974253, -1, 0.000032391978), (9.0721767e-7, -1, 0.0000038868097), (-3.0532189e-22, -1, -6.122932e-17), (-0.0000017330298, -1, 0.0000038507283), (9.0721767e-7, -1, 0.0000038868097), (9.0721767e-7, -1, 0.0000038868097), (-8.736974e-22, -1, -6.123366e-17), (-3.0532189e-22, -1, -6.122932e-17), (-1.2263052e-21, -1, -6.123231e-17), (-8.736974e-22, -1, -6.123366e-17), (9.0721767e-7, -1, 0.0000038868097), (-1.2263052e-21, -1, -6.123231e-17), (9.0721767e-7, -1, 0.0000038868097), (7.8324815e-22, -1, -6.1233176e-17), (7.8324815e-22, -1, -6.1233176e-17), (9.0721767e-7, -1, 0.0000038868097), (-9.417867e-22, -1, -6.123014e-17), (-9.417867e-22, -1, -6.123014e-17), (9.0721767e-7, -1, 0.0000038868097), (0.00007594335, -1, 0.000022449161), (0.00007594335, -1, 0.000022449161), (9.0721767e-7, -1, 0.0000038868097), (0.000004974253, -1, 0.000032391978), (-1.2263052e-21, -1, -6.123231e-17), (2.3896725e-21, -1, -6.123334e-17), (-8.736974e-22, -1, -6.123366e-17), (2.3896725e-21, -1, -6.123334e-17), (7.2088654e-22, -1, -6.123202e-17), (-8.736974e-22, -1, -6.123366e-17), (7.2088654e-22, -1, -6.123202e-17), (9.265542e-22, -1, -6.1230245e-17), (-8.736974e-22, -1, -6.123366e-17), (-8.736974e-22, -1, -6.123366e-17), (9.265542e-22, -1, -6.1230245e-17), (5.03548e-22, -1, -6.1233e-17), (-8.736974e-22, -1, -6.123366e-17), (5.03548e-22, -1, -6.1233e-17), (-3.0532189e-22, -1, -6.122932e-17), (5.03548e-22, -1, -6.1233e-17), (-1.128467e-22, -1, -6.12292e-17), (-3.0532189e-22, -1, -6.122932e-17), (1.9892324e-22, -1, -6.123038e-17), (-1.128467e-22, -1, -6.12292e-17), (5.03548e-22, -1, -6.1233e-17), (9.265542e-22, -1, -6.1230245e-17), (1.9892324e-22, -1, -6.123038e-17), (5.03548e-22, -1, -6.1233e-17), (-3.0532189e-22, -1, -6.122932e-17), (-1.128467e-22, -1, -6.12292e-17), (-3.4962674e-22, -1, -6.1222066e-17), (-3.0532189e-22, -1, -6.122932e-17), (-3.4962674e-22, -1, -6.1222066e-17), (-2.169195e-21, -1, -6.130378e-17), (-9.133292e-22, -1, -6.124258e-17), (-3.0532189e-22, -1, -6.122932e-17), (-2.169195e-21, -1, -6.130378e-17), (-3.0532189e-22, -1, -6.122932e-17), (-9.133292e-22, -1, -6.124258e-17), (1.2418912e-21, -1, -6.1227935e-17), (-3.0532189e-22, -1, -6.122932e-17), (1.2418912e-21, -1, -6.1227935e-17), (4.168579e-22, -1, -6.12341e-17), (-3.0532189e-22, -1, -6.122932e-17), (4.168579e-22, -1, -6.12341e-17), (-0.0000017330298, -1, 0.0000038507283), (-0.0000017330298, -1, 0.0000038507283), (4.168579e-22, -1, -6.12341e-17), (1.1130442e-20, -1, -6.123129e-17), (-0.0000017330298, -1, 0.0000038507283), (1.1130442e-20, -1, -6.123129e-17), (-7.282593e-21, -1, -6.123089e-17), (1.1818559e-20, -1, -6.123561e-17), (-0.0000017330298, -1, 0.0000038507283), (-7.282593e-21, -1, -6.123089e-17), (1.5978871e-21, -1, -6.1226294e-17), (-0.0000017330298, -1, 0.0000038507283), (1.1818559e-20, -1, -6.123561e-17), (-0.0000017330298, -1, 0.0000038507283), (1.5978871e-21, -1, -6.1226294e-17), (-2.9951134e-21, -1, -6.1230834e-17), (-0.0000017330298, -1, 0.0000038507283), (-2.9951134e-21, -1, -6.1230834e-17), (-4.5947116e-22, -1, -6.1236796e-17), (-0.0000029387127, -1, 0.000002435062), (-0.0000017330298, -1, 0.0000038507283), (-4.5947116e-22, -1, -6.1236796e-17), (-0.0000029387127, -1, 0.000002435062), (-4.5947116e-22, -1, -6.1236796e-17), (3.8458118e-22, -1, -6.1231595e-17), (-0.0000029387127, -1, 0.000002435062), (3.8458118e-22, -1, -6.1231595e-17), (9.920974e-23, -1, -6.1231376e-17), (-0.0000029387127, -1, 0.000002435062), (9.920974e-23, -1, -6.1231376e-17), (1.647227e-21, -1, -6.1231324e-17), (1.647227e-21, -1, -6.1231324e-17), (9.920974e-23, -1, -6.1231376e-17), (6.9372415e-21, -1, -6.1231515e-17), (9.920974e-23, -1, -6.1231376e-17), (1.6821686e-22, -1, -6.123207e-17), (6.9372415e-21, -1, -6.1231515e-17), (9.920974e-23, -1, -6.1231376e-17), (-8.241473e-23, -1, -6.1230834e-17), (1.6821686e-22, -1, -6.123207e-17), (3.8458118e-22, -1, -6.1231595e-17), (-8.241473e-23, -1, -6.1230834e-17), (9.920974e-23, -1, -6.1231376e-17), (6.166056e-23, -1, -6.1235916e-17), (-8.241473e-23, -1, -6.1230834e-17), (3.8458118e-22, -1, -6.1231595e-17), (-4.5947116e-22, -1, -6.1236796e-17), (6.166056e-23, -1, -6.1235916e-17), (3.8458118e-22, -1, -6.1231595e-17), (5.732337e-21, -1, -6.1231906e-17), (6.166056e-23, -1, -6.1235916e-17), (-4.5947116e-22, -1, -6.1236796e-17), (-4.5947116e-22, -1, -6.1236796e-17), (1.7086884e-20, -1, -6.122272e-17), (5.732337e-21, -1, -6.1231906e-17), (-4.5947116e-22, -1, -6.1236796e-17), (-2.0554433e-20, -1, -6.123802e-17), (1.7086884e-20, -1, -6.122272e-17), (-4.5947116e-22, -1, -6.1236796e-17), (-2.9951134e-21, -1, -6.1230834e-17), (-2.0554433e-20, -1, -6.123802e-17), (5.732337e-21, -1, -6.1231906e-17), (9.2962814e-21, -1, -6.116485e-17), (6.166056e-23, -1, -6.1235916e-17), (6.166056e-23, -1, -6.1235916e-17), (9.2962814e-21, -1, -6.116485e-17), (3.8106902e-21, -1, -6.131878e-17), (6.166056e-23, -1, -6.1235916e-17), (3.8106902e-21, -1, -6.131878e-17), (9.364407e-21, -1, -6.1209546e-17), (6.166056e-23, -1, -6.1235916e-17), (9.364407e-21, -1, -6.1209546e-17), (0, -1, -6.120703e-17), (6.166056e-23, -1, -6.1235916e-17), (0, -1, -6.120703e-17), (0, -1, -6.1232045e-17), (6.166056e-23, -1, -6.1235916e-17), (0, -1, -6.1232045e-17), (0, -1, -6.122133e-17), (6.166056e-23, -1, -6.1235916e-17), (0, -1, -6.122133e-17), (0, -1, -6.1240694e-17), (6.166056e-23, -1, -6.1235916e-17), (0, -1, -6.1240694e-17), (0, -1, -6.1268136e-17), (0, -1, -6.1268136e-17), (0, -1, -6.122661e-17), (6.166056e-23, -1, -6.1235916e-17), (6.166056e-23, -1, -6.1235916e-17), (0, -1, -6.122661e-17), (-8.241473e-23, -1, -6.1230834e-17), (-8.241473e-23, -1, -6.1230834e-17), (0, -1, -6.122661e-17), (-2.2994144e-22, -1, -6.122786e-17), (-8.241473e-23, -1, -6.1230834e-17), (-2.2994144e-22, -1, -6.122786e-17), (1.6821686e-22, -1, -6.123207e-17), (1.6821686e-22, -1, -6.123207e-17), (-2.2994144e-22, -1, -6.122786e-17), (0, -1, -6.123522e-17), (0, -1, -6.123522e-17), (2.3544923e-21, -1, -6.123149e-17), (1.6821686e-22, -1, -6.123207e-17), (1.6821686e-22, -1, -6.123207e-17), (2.3544923e-21, -1, -6.123149e-17), (6.9372415e-21, -1, -6.1231515e-17), (0, -1, -6.122661e-17), (0, -1, -6.1240654e-17), (-2.2994144e-22, -1, -6.122786e-17), (0, -1, -6.1240654e-17), (0, -1, -6.130486e-17), (-2.2994144e-22, -1, -6.122786e-17), (-3.4962674e-22, -1, -6.1222066e-17), (-8.0590747e-22, -1, -6.13189e-17), (-2.169195e-21, -1, -6.130378e-17), (-8.0590747e-22, -1, -6.13189e-17), (-3.4962674e-22, -1, -6.1222066e-17), (-3.0164833e-21, -1, -6.1218525e-17), (0.00052958913, -0.9999674, 0.008059868), (0.0004548705, -0.9999712, 0.0075880517), (0.00045143615, -0.9999751, 0.007046324), (0, -1, -6.123216e-17), (-1.2618686e-21, -1, -6.123295e-17), (-1.2073672e-23, -1, -6.123245e-17), (2.3010313e-22, -1, -6.123252e-17), (0, -1, -6.123216e-17), (-1.2073672e-23, -1, -6.123245e-17), (5.660923e-23, -1, -6.1232554e-17), (-4.924853e-23, -1, -6.1232806e-17), (1.8698818e-22, -1, -6.1232614e-17)] ( # normal3f[] normals = [(0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (-0.00047480434, 0.9999719, -0.007476213), (-0.0004321736, 0.99997544, -0.0070021525), (-0.0003852808, 0.99998075, -0.0062117353), (-0.00037313532, 0.9999806, -0.00622981), (-0.00032304882, 0.9999852, -0.0054318015), (-0.0002996303, 0.9999878, -0.0049361703), (-0.0001937583, 0.9999919, -0.0040231324), (-0.00021860337, 0.9999954, -0.0030266854), (-0.00019825515, 0.9999967, -0.0025569373), (-0.00021519681, 0.99999803, -0.0019925465), (-0.00011908179, 0.99999875, -0.001616332), (-0.000029429728, 0.99999946, -0.0010719418), (-0.0000037813809, 0.9999998, -0.0007430077), (-0.000003954158, 0.9999998, -0.0007447579), (-0.00001089513, 0.9999998, -0.00068065396), (-0.00001201546, 0.9999999, -0.0006683113), (-0.00001533885, 0.9999998, -0.0005824069), (-0.000018544202, 0.9999999, -0.0005421457), (-0.00001830038, 0.99999994, -0.0004793314), (-0.000020890337, 1, -0.0004512229), (-0.000017114464, 1, -0.00037996643), (-0.000018803828, 1, -0.00036157624), (-0.00001697498, 0.99999994, -0.00029906034), (-0.000016669552, 1, -0.00027724318), (-0.000015188796, 1, -0.00022793126), (-0.000013859618, 1, -0.00020298123), (-0.000010662276, 1, -0.00012408638), (-0.000011758428, 1, -0.00010527236), (-0.0000043463842, 1, -0.000046533358), (-0.0000021026724, 1, -0.000013358976), (0.0000026094754, 1, -0.0000021803778), (0.0000015009123, 1, -0.000003738723), (-0.000007754741, 1, -0.000004201465), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (-0.00003893976, 1, -0.000011510737), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (-0.0005000827, 0.9999675, -0.008021407), (-0.0004878739, 0.99996847, -0.0079104025), (-0.00046015042, 0.9999712, -0.0075504463), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17), (0, 1, 6.123234e-17)] ( normal3f[] normals = [(-3.6485125e-22, 1, -6.1232144e-17), (7.529882e-22, 1, -6.1233e-17), (-6.1415184e-21, 1, -6.1231376e-17), (-3.6485125e-22, 1, -6.1232144e-17), (2.4111807e-22, 1, -6.123268e-17), (7.529882e-22, 1, -6.1233e-17), (-3.6485125e-22, 1, -6.1232144e-17), (-1.2104193e-23, 1, -6.1232594e-17), (2.4111807e-22, 1, -6.123268e-17), (4.05927e-22, 1, -6.1232124e-17), (-1.2104193e-23, 1, 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(0.6687216, 0.44905975), (0.6710216, 0.5958688), (0.73754054, 0.59104), (0.67933595, 0.59526545), (0.7957441, 0.5868145), (0.6807306, 0.6843276), (0.6774429, 0.6843276), (0.8028234, 0.6843276), (0.7827572, 0.6843276), (0.74431247, 0.6843276), (0.72250456, 0.6843276), (0.6858017, 0.6843276), (0.44715416, 0.014347675), (0.4109047, 0.1776328), (0.3893515, 0.022371978), (0.4687084, 0.16960849), (0.5463994, 0.079697065), (0.4902616, 0.3248701), (0.5265111, 0.1615842), (0.50495785, 0.0063233725), (0.43245792, 0.33289438), (0.56605667, 0.23522174), (0.55635315, 0.1574423), (0.5361596, 0.0019920322), (0.45401224, 0.48815525), (0.5480643, 0.3168458), (0.51181483, 0.48013094), (0.5755495, 0.31303066), (0.53336805, 0.63539296), (0.5940497, 0.46871576), (0.5696175, 0.47210783), (0.4755655, 0.64341724), (0.59117174, 0.6273686), (0.543441, 0.70795476), (0.5103489, 0.70795476), (0.61215305, 0.62445617), (0.60235864, 0.70795476), (0.57247686, 0.70795476), (0.48452446, 0.70795476), (0.61172897, 0.70795476), (0.6218069, 0.70795476), (0.3073766, 0.00199243), (0.30839017, 0.0185234), (0.0031898804, 0.025620382), (0.15230854, 0.00199243), (0.0073471, 0.081819154), (0.0016024421, 0.00199243), (0.31069514, 0.05939871), (0.31279972, 0.10028516), (0.011883853, 0.13798927), (0.31470275, 0.14118196), (0.016800191, 0.19412835), (0.31870118, 0.23189454), (0.029113993, 0.3294661), (0.32087287, 0.2811615), (0.32203302, 0.30659392), (0.02913643, 0.32971045), (0.32204217, 0.3067822), (0.029148618, 0.3298414), (0.3248286, 0.3619804), (0.03696736, 0.41577572), (0.3279813, 0.41715953), (0.044785105, 0.50170887), (0.33150044, 0.47231638), (0.048148528, 0.53963226), (0.33538383, 0.52744853), (0.051338926, 0.57756996), (0.3385824, 0.57080054), (0.05435531, 0.615522), (0.34138814, 0.60708225), (0.057198655, 0.6534872), (0.3444472, 0.64334285), (0.06367408, 0.74268067), (0.34776077, 0.67958236), (0.07119059, 0.8462317), (0.22934063, 0.94095045), (0.20343173, 0.9407276), (0.2871432, 0.9329261), (0.21954958, 0.9712913), (0.14522713, 0.944953), (0.35132766, 0.715796), (0.29172885, 0.9659566), (0.22229318, 0.9712455), (0.21800274, 0.9715528), (0.20584565, 0.9739869), (0.087023534, 0.9491781), (0.3563112, 0.7625325), (0.2318695, 0.976068), (0.34494588, 0.92490184), (0.22499415, 0.9717279), (0.21649456, 0.9719802), (0.2150413, 0.97256845), (0.14764205, 0.97821236), (0.07870815, 0.9497819), (0.3617181, 0.80922204), (0.2334662, 0.9782999), (0.22987384, 0.97418433), (0.36754832, 0.85586107), (0.34953147, 0.95793235), (0.22755355, 0.9727201), (0.21365932, 0.9733111), (0.2067473, 0.98495954), (0.089437455, 0.98243785), (0.08112306, 0.9830412), (0.234605, 0.98079735), (0.37379986, 0.9024448), (0.3807872, 0.953593), (0.35115975, 0.96965796), (0.21209107, 0.9744163), (0.20693456, 0.9832314), (0.14872791, 0.99317926), (0.23524204, 0.9834655), (0.3763135, 0.920547), (0.38236153, 0.9653266), (0.2933561, 0.97768223), (0.2108078, 0.97559), (0.20732841, 0.981538), (0.20676863, 0.98669755), (0.090524316, 0.9974047), (0.08220893, 0.9980081), (0.20967516, 0.9769078), (0.20792271, 0.9799038), (0.20693251, 0.98895377), (0.23527765, 0.983719), (0.20870835, 0.97835284), (0.23555346, 0.98570657)] ( # customData = { # dictionary Maya = { # int UVSetIndex = 0 # } # } # interpolation = "faceVarying" # ) texCoord2f[] primvars:st = [(31.03888, -558.7149), (30.540161, -558.7511), (31.176758, -567.51984), (31.675415, -567.48364), (35.16626, -567.2302), (34.529663, -558.4615), (38.657043, -566.9768), (38.020508, -558.20807), (39.29364, -575.74554), (35.802795, -575.99896), (32.31201, -576.2524), (36.439392, -584.7677), (39.930176, -584.5143), (37.07599, -593.53644), (33.585144, -593.78986), (32.948547, -585.0211), (33.086487, -593.82605), (32.44989, -585.0573), (31.813293, -576.2886), (40.566772, -593.283), (43.203796, -557.53204), (39.73706, -558.0133), (41.029724, -567.32513), (44.49652, -566.8439), (45.789185, -576.15576), (50.335022, -570.77905), (47.963257, -566.3626), (49.156067, -561.4514), (46.670593, -557.0508), (48.54193, -556.791), (49.75305, -566.1142), (49.25592, -575.6745), (50.904358, -575.4457), (52.013916, -584.78296), (50.548584, -584.9864), (47.08185, -585.4676), (43.615112, -585.94885), (42.322388, -576.637), (48.37451, -594.7795), (51.84131, -594.2982), (53.09967, -594.12354), (44.907776, -595.26074), (25.800964, -500.43176), (44.10547, -500.0061), (26.050293, -503.8023), (44.243713, -502.45764), (44.369934, -504.9098), (26.322388, -507.17114), (44.48407, -507.3626), (26.617249, -510.5381), (44.723877, -512.80316), (27.355774, -518.655), (44.854126, -515.75793), (44.923706, -517.28326), (27.357117, -518.6697), (44.924255, -517.29456), (27.35785, -518.67755), (45.09137, -520.6051), (27.826782, -523.8315), (45.280457, -523.9145), (28.295654, -528.98535), (45.491516, -527.22253), (28.497375, -531.2598), (45.724426, -530.5291), (28.68872, -533.53516), (45.91626, -533.12915), (28.869629, -535.81134), (46.084534, -535.3052), (29.040161, -538.0883), (46.268005, -537.4799), (29.428528, -543.43774), (46.466736, -539.6534), (29.879333, -549.64825), (39.36444, -555.32904), (42.831177, -554.8478), (43.1062, -556.8288), (46.297913, -554.3665), (47.653503, -550.22577), (47.303833, -547.4286), (46.979553, -544.62836), (46.680664, -541.8253), (48.028442, -553.01965), (48.1792, -554.10535), (48.44751, -556.0873), (46.572937, -556.34753), (46.670593, -557.0508), (48.54193, -556.791), (43.203796, -557.53204), (39.718384, -557.8789), (39.680176, -557.7189), (39.611877, -557.5691), (39.516113, -557.43524), (39.396423, -557.32227), (39.257263, -557.23444), (39.10376, -557.1749), (38.941772, -557.146), (38.77722, -557.14874), (37.810547, -555.3157), (34.319702, -555.5691), (30.828918, -555.8225), (30.3302, -555.8587), (30.475037, -557.85345), (30.973694, -557.81726), (34.46454, -557.56384), (37.955322, -557.3104), (38.506836, -557.22534), (38.593994, -557.19006), (38.68445, -557.1644), (38.42395, -557.2699), (38.329895, -557.3362), (38.25293, -557.40656), (38.184998, -557.4856), (38.127014, -557.57227), (38.079895, -557.6653), (38.04425, -557.7633), (38.02063, -557.86487), (38.0094, -557.9685), (34.529663, -558.4615), (31.03888, -558.7149), (30.540161, -558.7511), (38.01068, -558.07275), (38.020508, -558.20807), (39.72052, -557.8941), (39.73706, -558.0133), (25.705757, -499.01468), (34.744415, -499.01468), (44.04468, -499.01468), (33.66879, -599.1314), (33.47161, -599.1314), (33.97293, -599.1314), (36.1742, -599.1314), (37.482136, -599.1314), (39.787876, -599.1314), (40.991356, -599.1314), (53.678665, -599.1314), (53.074234, -599.1314), (52.512245, -599.1314), (50.720078, -599.1314), (48.97864, -599.1314), (46.99393, -599.1314), (45.445095, -599.1314)] ( customData = { dictionary Maya = { int UVSetIndex = 1 } } interpolation = "faceVarying" ) int[] primvars:st:indices = [0, 2, 1, 0, 3, 2, 0, 4, 3, 5, 4, 0, 6, 4, 5, 7, 6, 5, 6, 8, 4, 4, 8, 9, 4, 9, 3, 9, 10, 3, 9, 11, 10, 12, 11, 9, 8, 12, 9, 11, 12, 13, 11, 13, 14, 15, 11, 14, 15, 14, 16, 15, 16, 17, 10, 15, 17, 10, 17, 18, 10, 18, 3, 3, 18, 2, 10, 11, 15, 14, 127, 128, 16, 13, 131, 130, 14, 19, 133, 132, 13, 12, 19, 13, 20, 22, 21, 22, 20, 23, 24, 22, 23, 25, 24, 23, 26, 25, 23, 27, 26, 23, 27, 23, 20, 28, 27, 20, 29, 27, 28, 27, 30, 26, 30, 25, 26, 25, 31, 24, 25, 32, 31, 32, 33, 31, 31, 33, 34, 31, 34, 35, 24, 31, 35, 24, 35, 36, 37, 24, 36, 22, 24, 37, 35, 38, 36, 34, 38, 35, 39, 38, 34, 40, 39, 34, 33, 40, 34, 40, 134, 135, 39, 39, 135, 136, 39, 136, 137, 38, 38, 137, 138, 38, 138, 139, 41, 36, 38, 41, 41, 139, 140, 126, 43, 42, 125, 42, 43, 44, 43, 45, 44, 45, 46, 44, 44, 46, 47, 46, 48, 47, 47, 48, 49, 48, 50, 49, 49, 50, 51, 50, 52, 51, 52, 53, 51, 53, 54, 51, 55, 54, 53, 55, 56, 54, 55, 57, 56, 56, 57, 58, 57, 59, 58, 58, 59, 60, 59, 61, 60, 60, 61, 62, 61, 63, 62, 62, 63, 64, 63, 65, 64, 64, 65, 66, 65, 67, 66, 66, 67, 68, 67, 69, 68, 69, 70, 68, 71, 70, 69, 71, 72, 70, 73, 72, 71, 73, 71, 74, 75, 73, 74, 74, 76, 75, 77, 76, 74, 77, 74, 78, 78, 74, 79, 79, 74, 80, 80, 74, 71, 77, 81, 76, 81, 82, 76, 82, 83, 76, 76, 83, 84, 76, 84, 75, 84, 85, 75, 86, 85, 84, 83, 86, 84, 75, 85, 87, 75, 87, 88, 89, 75, 88, 75, 89, 90, 75, 90, 91, 75, 91, 73, 73, 91, 92, 73, 92, 93, 94, 73, 93, 95, 73, 94, 73, 95, 96, 73, 96, 97, 72, 73, 97, 72, 97, 98, 72, 98, 99, 72, 99, 100, 100, 99, 101, 99, 102, 101, 99, 103, 102, 98, 103, 99, 104, 103, 98, 97, 104, 98, 105, 104, 97, 97, 106, 105, 97, 107, 106, 97, 96, 107, 105, 108, 104, 104, 108, 109, 104, 109, 110, 104, 110, 111, 104, 111, 112, 104, 112, 113, 104, 113, 114, 104, 114, 115, 115, 116, 104, 104, 116, 103, 103, 116, 117, 103, 117, 102, 102, 117, 118, 118, 119, 102, 102, 119, 101, 116, 120, 117, 120, 121, 117, 87, 122, 88, 122, 87, 123, 124, 125, 42, 129, 127, 14, 130, 129, 14, 13, 132, 131] # int[] primvars:st1:indices = [0, 1, 2, 0, 3, 1, 0, 4, 3, 6, 4, 0, 9, 4, 6, 12, 9, 6, 9, 10, 4, 4, 10, 7, 4, 7, 3, 7, 8, 3, 7, 14, 8, 13, 14, 7, 10, 13, 7, 14, 13, 17, 14, 17, 18, 15, 14, 18, 15, 18, 16, 15, 16, 11, 8, 15, 11, 8, 11, 5, 8, 5, 3, 3, 5, 1, 8, 14, 15, 18, 20, 21, 16, 17, 24, 25, 18, 19, 22, 23, 17, 13, 19, 17, 27, 28, 29, 28, 27, 30, 32, 28, 30, 36, 32, 30, 33, 36, 30, 31, 33, 30, 31, 30, 27, 34, 31, 27, 38, 31, 34, 31, 37, 33, 37, 36, 33, 36, 40, 32, 36, 42, 40, 42, 44, 40, 40, 44, 45, 40, 45, 41, 32, 40, 41, 32, 41, 39, 35, 32, 39, 28, 32, 35, 41, 43, 39, 45, 43, 41, 47, 43, 45, 50, 47, 45, 44, 50, 45, 50, 55, 54, 47, 47, 54, 51, 47, 51, 52, 43, 43, 52, 48, 43, 48, 49, 46, 39, 43, 46, 46, 49, 53, 56, 57, 58, 59, 58, 57, 60, 57, 62, 60, 62, 63, 60, 60, 63, 64, 63, 65, 64, 64, 65, 66, 65, 67, 66, 66, 67, 68, 67, 69, 68, 69, 70, 68, 70, 71, 68, 72, 71, 70, 72, 73, 71, 72, 74, 73, 73, 74, 75, 74, 76, 75, 75, 76, 77, 76, 78, 77, 77, 78, 79, 78, 80, 79, 79, 80, 81, 80, 82, 81, 81, 82, 83, 82, 84, 83, 83, 84, 85, 84, 86, 85, 86, 87, 85, 88, 87, 86, 88, 89, 87, 90, 89, 88, 90, 88, 92, 96, 90, 92, 92, 103, 96, 112, 103, 92, 112, 92, 109, 109, 92, 101, 101, 92, 95, 95, 92, 88, 112, 120, 103, 120, 127, 103, 127, 121, 103, 103, 121, 113, 103, 113, 96, 113, 122, 96, 128, 122, 113, 121, 128, 113, 96, 122, 129, 96, 129, 126, 119, 96, 126, 96, 119, 110, 96, 110, 102, 96, 102, 90, 90, 102, 111, 90, 111, 114, 104, 90, 114, 97, 90, 104, 90, 97, 93, 90, 93, 91, 89, 90, 91, 89, 91, 94, 89, 94, 100, 89, 100, 108, 108, 100, 118, 100, 117, 118, 100, 107, 117, 94, 107, 100, 99, 107, 94, 91, 99, 94, 106, 99, 91, 91, 105, 106, 91, 98, 105, 91, 93, 98, 106, 115, 99, 99, 115, 123, 99, 123, 130, 99, 130, 135, 99, 135, 139, 99, 139, 136, 99, 136, 131, 99, 131, 124, 124, 116, 99, 99, 116, 107, 107, 116, 125, 107, 125, 117, 117, 125, 133, 133, 134, 117, 117, 134, 118, 116, 132, 125, 132, 137, 125, 129, 138, 126, 138, 129, 140, 61, 59, 58, 26, 20, 18, 25, 26, 18, 17, 23, 24] bool shadow:enable = 1 uniform token subdivisionScheme = "none" } } } } } def Scope "Looks" { def Material "lambert" { token outputs:mdl:surface.connect = </atlas_road_tile_237_01_usd2/Looks/lambert/Shader.outputs:out> token outputs:surface.connect = </atlas_road_tile_237_01_usd2/Looks/lambert/lambertPreviewSurface.outputs:surface> def Shader "lambertPreviewSurface" { uniform token info:id = "UsdPreviewSurface" float inputs:clearcoat = 0 float inputs:clearcoatRoughness = 0 color3f inputs:diffuseColor.connect = </atlas_road_tile_237_01_usd2/Looks/lambert/diffuseColorTex.outputs:rgb> float inputs:displacement = 0 color3f inputs:emissiveColor = (0, 0, 0) float inputs:ior = 1.5 float inputs:metallic.connect = </atlas_road_tile_237_01_usd2/Looks/lambert/metallicTex.outputs:r> normal3f inputs:normal = (0, 0, 1) float inputs:occlusion = 1 float inputs:opacity = 1 float inputs:opacityThreshold = 0 float inputs:roughness.connect = </atlas_road_tile_237_01_usd2/Looks/lambert/roughnessTex.outputs:r> color3f inputs:specularColor = (0, 0, 0) int inputs:useSpecularWorkflow = 0 token outputs:surface } def Shader "diffuseColorTex" { uniform token info:id = "UsdUVTexture" float4 inputs:fallback = (0, 0, 0, 1) asset inputs:file = @lambertPreviewSurface/diffuseColorTex.png@ color3f outputs:rgb } def Shader "metallicTex" { uniform token info:id = "UsdUVTexture" float4 inputs:fallback = (0, 0, 0, 1) asset inputs:file = @lambertPreviewSurface/metallicTex.png@ float outputs:r } def Shader "roughnessTex" { uniform token info:id = "UsdUVTexture" float4 inputs:fallback = (0, 0, 0, 1) asset inputs:file = @lambertPreviewSurface/roughnessTex.png@ float outputs:r } def Shader "Shader" ( kind = "Material" ) { uniform token info:implementationSource = "sourceAsset" uniform asset info:mdl:sourceAsset = @OmniPBR.mdl@ uniform token info:mdl:sourceAsset:subIdentifier = "OmniPBR" color3f inputs:diffuse_color_constant = (0.68561757, 0.4460292, 0.59804285) token outputs:out } } } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/occlusion_quadrant.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double radius = 270.1800438313185 double3 target = (0, 0, 0) } dictionary Perspective = { double3 position = (-17.686258971514064, 52.51496952187055, 502.9662731226373) double3 target = (-36.99007381299464, 11.4077862535474, -0.02879534425244401) } dictionary Right = { double radius = 500 double3 target = (0, 0, 0) } dictionary Top = { double radius = 500 double3 target = (0, 0, 0) } string boundCamera = "/OmniverseKit_Front" } dictionary renderSettings = { float "rtx:post:lensDistortion:cameraFocalLength" = 50 token "rtx:rendermode" = "PathTracing" } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.009999999776482582 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def DistantLight "defaultLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float angle = 1 float intensity = 3000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file float3 xformOp:rotateXYZ = (22, 0, 0) double3 xformOp:scale = (1, 1, 1) float3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Xform "Object" ( prepend apiSchemas = ["SemanticsAPI:Semantics"] ) { bool semantic:Semantics:params:decorator string semantic:Semantics:params:semanticData = "object" string semantic:Semantics:params:semanticType = "class" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def Mesh "Cube" { int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [1, 2, 3, 3, 2, 4, 3, 4, 5, 5, 4, 6, 5, 6, 7, 7, 6, 8, 7, 8, 1, 1, 8, 2, 2, 8, 4, 4, 8, 6, 7, 1, 5, 5, 1, 3] point3f[] points = [(0, 0, 0), (-0.5, -0.5, 0.5), (0.5, -0.5, 0.5), (-0.5, 0.5, 0.5), (0.5, 0.5, 0.5), (-0.5, 0.5, -0.5), (0.5, 0.5, -0.5), (-0.5, -0.5, -0.5), (0.5, -0.5, -0.5)] token visibility = "inherited" float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (-55, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def Mesh "Cube_01" { int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [1, 2, 3, 3, 2, 4, 3, 4, 5, 5, 4, 6, 5, 6, 7, 7, 6, 8, 7, 8, 1, 1, 8, 2, 2, 8, 4, 4, 8, 6, 7, 1, 5, 5, 1, 3] point3f[] points = [(0, 0, 0), (-0.5, -0.5, 0.5), (0.5, -0.5, 0.5), (-0.5, 0.5, 0.5), (0.5, 0.5, 0.5), (-0.5, 0.5, -0.5), (0.5, 0.5, -0.5), (-0.5, -0.5, -0.5), (0.5, -0.5, -0.5)] token visibility = "inherited" float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (100, 100, 100) double3 xformOp:translate = (55, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def Xform "Occluder" { token visibility = "inherited" token visibility.timeSamples = { 0: "inherited", 11: "invisible", } double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 200) double3 xformOp:translate.timeSamples = { 0: (0, 0, 0), 1: (-100, 0, 0), 2: (100, 0, 0), 3: (0, -100, 0), 4: (0, 100, 0), 5: (-100, -100, 0), 6: (100, -100, 0), 7: (100, 0, 0), 8: (-100, 0, 0), 9: (100, 0, 0), 10: (-100, 0, 0), } uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def Mesh "Cube_02" { int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [1, 2, 3, 3, 2, 4, 3, 4, 5, 5, 4, 6, 5, 6, 7, 7, 6, 8, 7, 8, 1, 1, 8, 2, 2, 8, 4, 4, 8, 6, 7, 1, 5, 5, 1, 3] point3f[] points = [(0, 0, 0), (-0.5, -0.5, 0.5), (0.5, -0.5, 0.5), (-0.5, 0.5, 0.5), (0.5, 0.5, 0.5), (-0.5, 0.5, -0.5), (0.5, 0.5, -0.5), (-0.5, -0.5, -0.5), (0.5, -0.5, -0.5)] token visibility = "inherited" float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (211.93092, 200, 100) double3 xformOp:translate = (0, 0, 100) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def Xform "Occluder_2" { token visibility = "inherited" token visibility.timeSamples = { 0: "invisible", 7: "inherited", 11: "invisible", } double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 200) double3 xformOp:translate.timeSamples = { 0: (0, 0, 0), 7: (0, -100, 0), 8: (0, -100, 0), 9: (0, 100, 0), } uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] def Mesh "Cube_03" { int[] faceVertexCounts = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [1, 2, 3, 3, 2, 4, 3, 4, 5, 5, 4, 6, 5, 6, 7, 7, 6, 8, 7, 8, 1, 1, 8, 2, 2, 8, 4, 4, 8, 6, 7, 1, 5, 5, 1, 3] point3f[] points = [(0, 0, 0), (-0.5, -0.5, 0.5), (0.5, -0.5, 0.5), (-0.5, 0.5, 0.5), (0.5, 0.5, 0.5), (-0.5, 0.5, -0.5), (0.5, 0.5, -0.5), (-0.5, -0.5, -0.5), (0.5, -0.5, -0.5)] token visibility = "inherited" float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (217.9884, 200, 100) double3 xformOp:translate = (0, 0, 100) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/scenes/scene_instance_test.usda
#usda 1.0 ( customLayerData = { dictionary cameraSettings = { dictionary Front = { double3 position = (0, 0, 50000) double radius = 500 } dictionary Perspective = { double3 position = (485.64670945959244, 499.31261288765523, 515.0406776527499) double3 target = (-14.353290540407405, -0.6873871123448527, 15.040677652750043) } dictionary Right = { double3 position = (-50000, 0, -1.1102230246251565e-11) double radius = 500 } dictionary Top = { double3 position = (-4.329780281177466e-12, 50000, 1.1102230246251565e-11) double radius = 500 } string boundCamera = "/OmniverseKit_Persp" } dictionary omni_layer = { dictionary muteness = { } } dictionary renderSettings = { } } defaultPrim = "World" endTimeCode = 100 metersPerUnit = 0.01 startTimeCode = 0 timeCodesPerSecond = 24 upAxis = "Y" ) def Xform "World" { def Mesh "Cone" ( prepend apiSchemas = ["SemanticsAPI:Semantics_JAfl"] instanceable = true ) { int[] faceVertexCounts = [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] int[] faceVertexIndices = [0, 32, 33, 1, 1, 33, 34, 2, 2, 34, 35, 3, 3, 35, 36, 4, 4, 36, 37, 5, 5, 37, 38, 6, 6, 38, 39, 7, 7, 39, 40, 8, 8, 40, 41, 9, 9, 41, 42, 10, 10, 42, 43, 11, 11, 43, 44, 12, 12, 44, 45, 13, 13, 45, 46, 14, 14, 46, 47, 15, 15, 47, 48, 16, 16, 48, 49, 17, 17, 49, 50, 18, 18, 50, 51, 19, 19, 51, 52, 20, 20, 52, 53, 21, 21, 53, 54, 22, 22, 54, 55, 23, 23, 55, 56, 24, 24, 56, 57, 25, 25, 57, 58, 26, 26, 58, 59, 27, 27, 59, 60, 28, 28, 60, 61, 29, 29, 61, 62, 30, 30, 62, 63, 31, 31, 63, 32, 0, 32, 64, 65, 33, 33, 65, 66, 34, 34, 66, 67, 35, 35, 67, 68, 36, 36, 68, 69, 37, 37, 69, 70, 38, 38, 70, 71, 39, 39, 71, 72, 40, 40, 72, 73, 41, 41, 73, 74, 42, 42, 74, 75, 43, 43, 75, 76, 44, 44, 76, 77, 45, 45, 77, 78, 46, 46, 78, 79, 47, 47, 79, 80, 48, 48, 80, 81, 49, 49, 81, 82, 50, 50, 82, 83, 51, 51, 83, 84, 52, 52, 84, 85, 53, 53, 85, 86, 54, 54, 86, 87, 55, 55, 87, 88, 56, 56, 88, 89, 57, 57, 89, 90, 58, 58, 90, 91, 59, 59, 91, 92, 60, 60, 92, 93, 61, 61, 93, 94, 62, 62, 94, 95, 63, 63, 95, 64, 32, 64, 96, 97, 65, 65, 97, 98, 66, 66, 98, 99, 67, 67, 99, 100, 68, 68, 100, 101, 69, 69, 101, 102, 70, 70, 102, 103, 71, 71, 103, 104, 72, 72, 104, 105, 73, 73, 105, 106, 74, 74, 106, 107, 75, 75, 107, 108, 76, 76, 108, 109, 77, 77, 109, 110, 78, 78, 110, 111, 79, 79, 111, 112, 80, 80, 112, 113, 81, 81, 113, 114, 82, 82, 114, 115, 83, 83, 115, 116, 84, 84, 116, 117, 85, 85, 117, 118, 86, 86, 118, 119, 87, 87, 119, 120, 88, 88, 120, 121, 89, 89, 121, 122, 90, 90, 122, 123, 91, 91, 123, 124, 92, 92, 124, 125, 93, 93, 125, 126, 94, 94, 126, 127, 95, 95, 127, 96, 64, 96, 128, 129, 97, 97, 129, 130, 98, 98, 130, 131, 99, 99, 131, 132, 100, 100, 132, 133, 101, 101, 133, 134, 102, 102, 134, 135, 103, 103, 135, 136, 104, 104, 136, 137, 105, 105, 137, 138, 106, 106, 138, 139, 107, 107, 139, 140, 108, 108, 140, 141, 109, 109, 141, 142, 110, 110, 142, 143, 111, 111, 143, 144, 112, 112, 144, 145, 113, 113, 145, 146, 114, 114, 146, 147, 115, 115, 147, 148, 116, 116, 148, 149, 117, 117, 149, 150, 118, 118, 150, 151, 119, 119, 151, 152, 120, 120, 152, 153, 121, 121, 153, 154, 122, 122, 154, 155, 123, 123, 155, 156, 124, 124, 156, 157, 125, 125, 157, 158, 126, 126, 158, 159, 127, 127, 159, 128, 96, 160, 161, 162, 160, 162, 163, 160, 163, 164, 160, 164, 165, 160, 165, 166, 160, 166, 167, 160, 167, 168, 160, 168, 169, 160, 169, 170, 160, 170, 171, 160, 171, 172, 160, 172, 173, 160, 173, 174, 160, 174, 175, 160, 175, 176, 160, 176, 177, 160, 177, 178, 160, 178, 179, 160, 179, 180, 160, 180, 181, 160, 181, 182, 160, 182, 183, 160, 183, 184, 160, 184, 185, 160, 185, 186, 160, 186, 187, 160, 187, 188, 160, 188, 189, 160, 189, 190, 160, 190, 191, 160, 191, 192, 160, 192, 161] normal3f[] normals = [(0.8944272, 0.4472136, 0), (0.89442724, 0.44721362, 0), (0.8772411, 0.44721362, 0.17449394), (0.877241, 0.4472136, 0.17449391), (0.877241, 0.4472136, 0.17449391), (0.8772411, 0.44721362, 0.17449394), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.44721362, 0.34228215), (0.8263431, 0.44721362, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.7436893, 0.4472136, 0.49691668), (0.74368936, 0.44721362, 0.4969167), (0.74368936, 0.44721362, 0.4969167), (0.7436893, 0.4472136, 0.49691668), (0.632456, 0.44721362, 0.63245505), (0.632456, 0.44721365, 0.63245505), (0.632456, 0.44721365, 0.63245505), (0.632456, 0.44721362, 0.63245505), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.34228343, 0.4472136, 0.8263426), (0.34228346, 0.44721362, 0.8263426), (0.34228346, 0.44721362, 0.8263426), (0.34228343, 0.4472136, 0.8263426), (0.1744953, 0.4472136, 0.8772408), (0.17449528, 0.4472136, 0.8772408), (0.17449528, 0.4472136, 0.8772408), (0.1744953, 0.4472136, 0.8772408), (0.0000014049631, 0.44721362, 0.89442724), (0.0000014049629, 0.4472136, 0.8944272), (0.0000014049629, 0.4472136, 0.8944272), (0.0000014049631, 0.44721362, 0.89442724), (-0.17449255, 0.44721356, 0.8772414), (-0.17449254, 0.44721362, 0.8772414), (-0.17449254, 0.44721362, 0.8772414), (-0.17449255, 0.44721356, 0.8772414), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.34228083, 0.4472136, 0.82634366), (-0.4969155, 0.44721362, 0.74369013), (-0.49691552, 0.4472136, 0.74369013), (-0.49691552, 0.4472136, 0.74369013), (-0.4969155, 0.44721362, 0.74369013), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.63245404, 0.4472136, 0.632457), (-0.74368775, 0.4472136, 0.496919), (-0.7436878, 0.44721362, 0.49691904), (-0.7436878, 0.44721362, 0.49691904), (-0.74368775, 0.4472136, 0.496919), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.82634205, 0.4472136, 0.34228474), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.8772405, 0.4472136, 0.17449667), (-0.89442724, 0.44721362, 0.0000028099262), (-0.8944272, 0.4472136, 0.0000028099257), (-0.8944272, 0.4472136, 0.0000028099257), (-0.89442724, 0.44721362, 0.0000028099262), (-0.8772417, 0.44721356, -0.17449118), (-0.8772416, 0.4472136, -0.17449117), (-0.8772416, 0.4472136, -0.17449117), (-0.8772417, 0.44721356, -0.17449118), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.8263442, 0.44721362, -0.34227955), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.7436909, 0.4472136, -0.49691436), (-0.63245803, 0.44721362, -0.632453), (-0.632458, 0.4472136, -0.632453), (-0.632458, 0.4472136, -0.632453), (-0.63245803, 0.44721362, -0.632453), (-0.4969202, 0.4472136, -0.743687), (-0.4969202, 0.44721362, -0.743687), (-0.4969202, 0.44721362, -0.743687), (-0.4969202, 0.4472136, -0.743687), (-0.34228605, 0.4472136, -0.8263415), (-0.34228605, 0.44721362, -0.8263415), (-0.34228605, 0.44721362, -0.8263415), (-0.34228605, 0.4472136, -0.8263415), (-0.17449805, 0.4472136, -0.8772402), (-0.17449804, 0.44721362, -0.87724024), (-0.17449804, 0.44721362, -0.87724024), (-0.17449805, 0.4472136, -0.8772402), (-0.000004214889, 0.44721362, -0.89442724), (-0.0000042148886, 0.4472136, -0.8944272), (-0.0000042148886, 0.4472136, -0.8944272), (-0.000004214889, 0.44721362, -0.89442724), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.1744898, 0.44721362, -0.8772419), (0.34227827, 0.44721356, -0.8263447), (0.34227827, 0.4472136, -0.8263448), (0.34227827, 0.4472136, -0.8263448), (0.34227827, 0.44721356, -0.8263447), (0.4969132, 0.4472136, -0.7436916), (0.4969132, 0.4472136, -0.7436917), (0.4969132, 0.4472136, -0.7436917), (0.4969132, 0.4472136, -0.7436916), (0.6324521, 0.44721362, -0.632459), (0.6324521, 0.4472136, -0.63245904), (0.6324521, 0.4472136, -0.63245904), (0.6324521, 0.44721362, -0.632459), (0.7436862, 0.4472136, -0.49692136), (0.74368626, 0.44721362, -0.4969214), (0.74368626, 0.44721362, -0.4969214), (0.7436862, 0.4472136, -0.49692136), (0.826341, 0.4472136, -0.34228733), (0.826341, 0.44721362, -0.34228733), (0.826341, 0.44721362, -0.34228733), (0.826341, 0.4472136, -0.34228733), (0.87723994, 0.4472136, -0.17449942), (0.87723994, 0.44721362, -0.17449942), (0.87723994, 0.44721362, -0.17449942), (0.87723994, 0.4472136, -0.17449942), (0.89442724, 0.44721362, 0), (0.8944272, 0.4472136, 0), (0.89442724, 0.44721362, 0), (0.8944272, 0.4472136, 0), (0.877241, 0.44721356, 0.17449391), (0.8772411, 0.44721362, 0.17449394), (0.8772411, 0.44721362, 0.17449394), (0.877241, 0.44721356, 0.17449391), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.8263431, 0.4472136, 0.34228215), (0.74368936, 0.44721365, 0.49691668), (0.7436893, 0.4472136, 0.49691668), (0.7436893, 0.4472136, 0.49691668), (0.74368936, 0.44721365, 0.49691668), (0.632456, 0.4472136, 0.63245505), (0.632456, 0.44721362, 0.63245505), (0.632456, 0.44721362, 0.63245505), (0.632456, 0.4472136, 0.63245505), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.49691784, 0.4472136, 0.7436885), (0.34228346, 0.4472136, 0.8263426), (0.34228343, 0.4472136, 0.8263426), (0.34228343, 0.4472136, 0.8263426), (0.34228346, 0.4472136, 0.8263426), (0.1744953, 0.4472136, 0.87724084), (0.1744953, 0.4472136, 0.8772408), (0.1744953, 0.4472136, 0.8772408), (0.1744953, 0.4472136, 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(0.5, 0.5), (0.7777829, 0.08426372), (0.85355145, 0.14644466), (0.5, 0.5), (0.85355145, 0.14644466), (0.9157332, 0.22221252), (0.5, 0.5), (0.9157332, 0.22221252), (0.9619386, 0.30865556), (0.5, 0.5), (0.9619386, 0.30865556), (0.990392, 0.40245184), (0.5, 0.5), (0.990392, 0.40245184), (1, 0.5)] ( interpolation = "faceVarying" ) string semantic:Semantics_JAfl:params:semanticData = "something" string semantic:Semantics_JAfl:params:semanticType = "class" uniform token subdivisionScheme = "none" double3 xformOp:rotateXYZ = (0, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def "brachiosaurus_01" ( prepend apiSchemas = ["SemanticsAPI:Semantics_zxNh"] instanceable = true prepend references = @@@./sofa_golden.usd@@@ ) { string semantic:Semantics_zxNh:params:semanticData = "something" string semantic:Semantics_zxNh:params:semanticType = "class" float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (240, 240, 240) double3 xformOp:translate = (-110.995, 0, 181.582) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } def "cone" ( instanceable = false prepend references = @@@./cone.usd@@@ ) { float3 xformOp:rotateXYZ = (0, -0, 0) float3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (155.889, 0, -153.261) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] } } def DomeLight "DomeLight" ( prepend apiSchemas = ["ShapingAPI"] ) { float intensity = 1000 float shaping:cone:angle = 180 float shaping:cone:softness float shaping:focus color3f shaping:focusTint asset shaping:ies:file token texture:format = "latlong" double3 xformOp:rotateXYZ = (270, 0, 0) double3 xformOp:scale = (1, 1, 1) double3 xformOp:translate = (0, 0, 0) uniform token[] xformOpOrder = ["xformOp:translate", "xformOp:rotateXYZ", "xformOp:scale"] }
omniverse-code/kit/exts/omni.syntheticdata/omni/syntheticdata/tests/data/golden/view_np_image.py
import os import sys import matplotlib.pyplot as plt import numpy as np image = np.load(sys.argv[1])["array"] print(image.shape) # np.savez_compressed(f"{os.path.splitext(sys.argv[1])[0]}.npz", array=image) # image = (image - image.min()) / image.ptp() plt.imshow(image) plt.show()
omniverse-code/kit/exts/omni.syntheticdata/docs/index.rst
omni.syntheticdata //////////////////////////# Introduction ************ This extension provides both C++ and python bindings that allow users to extract ground truth data from scenes loaded and rendered in Omniverse Kit and use it for DL/RL training purposes. Data can be accessed either in host memory or directly on device memory to provide high performance training. The scene data is provided by generating USD data that can be rendered through the Kit renderer. Core Concepts ************* Sensor ====== Ground truth data is accessed through various sensors that are associated with a view in the renderer. The sensors generally provide access to synthetic data and are either represented as images or buffers of attribute data. Attribute data elements are usually associated with a particular instance in a scene, which is usually represented by a mesh specified in the USD data. Sensors are objects that are managed by the user either through the API or the UI. Synthetic Image Data ==================== Synthetic image data is represented by sensors as a 2D image. Examples of synthetic image data include RGB data, depth data, and segmentation data. The data can be in any valid image format supported by the renderer. Synthetic Attribute Data ======================== Synthetic attribute data is represented by sensors as raw structured data that can be accessed as an array. The data structures used to store array elements depend on the type of sensor. Examples of synthetic attribute data include bounding boxes. See the data structures defined below to see how various attribute data arrays define their data. Instance ======== An instance is a single segmentation unit in a scene that is usually represented as a mesh. An instance is usually represented in sensor data as a unique unsigned integer ID. The renderer currently limits scenes to having 2^24 unique instances. Semantic Class ============== A semantic class is a classification given to a scene instance that can be used for training purposes. It is provided as a unique string and is usually represented in sensor data as a unique unsigned integer ID. Semantic class strings can be anything that will be used to identify scene instances, such as "car", "tree", "large", "broken", etc. The renderer currently limits scenes to having 2^16 unique semantic classes. Semantic class data is specified inside the USD scene data through the Semantic API schema. Segmentation ============ Segmentation data is usually represented by sensors as synthetic image data and is used to segment image data within a view. Examples include instance segmentation which will represent each pixel in the image data with an instance ID and semantic segmentation which will represent each pixel in the image data with a semantic ID. Accessing Data on Device Memory =============================== Device Memory is usually GPU memory. Synthetic data can be accessed directly on device memory with python by using PyTorch tensors. Accessing Data on Host Memory ============================= Device Memory is usually system memory. Synthetic data can be accessed directly on host memory with python through numpy arrays. Data Structures *************** Below are the various data structures specified by the C++ API and accessed through python using pybind. SensorType ========== .. code:: enum class SensorType : uint32_t { // These sensors represent image data eRgb = 0, ///< RGB data eCamera3dPosition, ///< camera space 3d position eDistanceToImagePlane, ///< distance to image plane in meters eDistanceToCamera, ///< distance to camera in meters eDepth, ///< depth data (***DEPRECATED***) eDepthLinear, ///< linear depth data (in meters) (***DEPRECATED***) eInstanceSegmentation, ///< instance segmentation data eSemanticSegmentation, ///< semantic segmentation data (***DEPRECATED***) eNormal, ///< normal vector data eMotionVector, ///< motion vector data eCrossCorrespondence, ///< cross correspondence data // These sensors represent instance attribute data eBoundingBox2DTight, ///< tight 2D bounding box data, only contains non-occluded pixels eBoundingBox2DLoose, ///< loose 2D bounding box data, also contains occluded pixels eBoundingBox3D, ///< 3D view space bounding box data eOcclusion, ///< occlusion data eTruncation, ///< truncation data // These track valid sensor types eSensorTypeCount, ///< the total number of valid sensor outputs eSensorTypeInvalid = 0x7FFFFFFF ///< invalid sensor marker }; SensorResourceType ================== .. code:: enum class SensorResourceType { eTexture, ///< image data sensors eBuffer ///< attribute data sensors }; SensorInfo ========== .. code:: struct SensorInfo { SensorType type; ///< sensor type SensorResourceType resType; ///< sensor resource type union { struct { uint32_t width; ///< sensor width of texture sensors uint32_t height; ///< sensor height of texture sensors uint32_t bpp; ///< bytes per pixel stored for texture sensors uint32_t rowSize; ///< texture row stride in bytes } tex; struct { size_t size; ///< size in bytes of buffer sensors } buff; }; ///< sensor parameters }; BoundingBox2DValues =================== .. code:: struct BoundingBox2DValues { uint32_t instanceId; ///< instance ID uint32_t semanticId; ///< semantic ID *** DEPRECATED *** int32_t x_min; ///< left extent int32_t y_min; ///< top extent int32_t x_max; ///< right extent int32_t y_max; ///< bottom extent }; BoundingBox3DValues =================== .. code:: struct BoundingBox3DValues { uint32_t instanceId; ///< instance ID uint32_t semanticId; ///< semantic ID *** DEPRECATED *** float x_min; ///< left extent float y_min; ///< top extent float z_min; ///< front extent float x_max; ///< right extent float y_max; ///< bottom extent float z_max; ///< back extent }; OcclusionValues =============== .. code:: struct OcclusionValues { uint32_t instanceId; ///< instance ID uint32_t semanticId; ///< semantic ID *** DEPRECATED *** float occlusionRatio; ///< ratio of instance that is occluded }; TruncationValues ================ .. code:: struct TruncationValues { uint32_t instanceId; ///< instance ID uint32_t semanticId; ///< semantic ID *** DEPRECATED *** float truncationRatio; ///< ratio of instance that is truncated }; Python API Docs **************** Pybind API ========== .. code:: // Creates a sensor of specified type if none exist otherwise return the existing sensor. // // Args: // // arg0 (type): The sensor type to return create_sensor(sensors::SensorType type) .. code:: // Destroys the specified sensor. // // Args: // // arg0 (type): The sensor type to destroy destroy_sensor(sensors::SensorType type) .. code:: // Returns the width of the specified image sensor. // // Args: // // arg0 (type): The sensor to retrieve the width for get_sensor_width(carb::sensors::SensorType type) .. code:: // Returns the height of the specified image sensor. // // Args: // // arg0 (type): The sensor to retrieve the height for get_sensor_height(carb::sensors::SensorType type) .. code:: // Returns the bytes per pixel of the specified image sensor. // // Args: // // arg0 (type): The sensor to retrieve the bytes per pixel for get_sensor_bpp(carb::sensors::SensorType type) .. code:: // Returns the row size in bytes of the specified image sensor. // // Args: // // arg0 (type): The sensor to retrieve the row size for get_sensor_row_size(carb::sensors::SensorType type) .. code:: // Returns the size in bytes of the specified attribute sensor. // // Args: // // arg0 (type): The sensor to retrieve the size for get_sensor_size(carb::sensors::SensorType type) .. code:: // Returns a pointer to the sensor's data on device memory // // Args: // // arg0 (type): The sensor to retrieve the data for get_sensor_device_data(carb::sensors::SensorType type) .. code:: // Returns a pointer to the sensor's data on host memory // // Args: // // arg0 (type): The sensor to retrieve the host data for get_sensor_host_data(carb::sensors::SensorType type) .. code:: // Returns floating point tensor data of the image sensor on device memory // // Args: // // arg0 (type): The image sensor to retrieve the tensor data for // // arg1 (width): The width of the image sensor // // arg2 (height): The height of the image sensor // // arg3 (rowSize): The row size in bytes of the image sensor get_sensor_device_float_2d_tensor(carb::sensors::SensorType type, size_t width, size_t height, size_t rowSize) .. code:: // Returns 32-bit integer tensor data of the image sensor on device memory // // Args: // // arg0 (type): The image sensor to retrieve the tensor data for // // arg1 (width): The width of the image sensor // // arg2 (height): The height of the image sensor // // arg3 (rowSize): The row size in bytes of the image sensor get_sensor_device_int32_2d_tensor(carb::sensors::SensorType type, size_t width, size_t height, size_t rowSize) .. code:: // Returns 8-bit integer vector tensor data of the image sensor on device memory // // Args: // // arg0 (type): The image sensor to retrieve the tensor data for // // arg1 (width): The width of the image sensor // // arg2 (height): The height of the image sensor // // arg3 (rowSize): The row size in bytes of the image sensor get_sensor_device_uint8_3d_tensor(carb::sensors::SensorType type, size_t width, size_t height, size_t rowSize) .. code:: // Returns 32-bit integer numpy array data of the image sensor on host memory // // Args: // // arg0 (type): The image sensor to retrieve the numpy data for // // arg1 (width): The width of the image sensor // // arg2 (height): The height of the image sensor // // arg3 (rowSize): The row size in bytes of the image sensor get_sensor_host_uint32_texture_array(carb::sensors::SensorType type, size_t width, size_t height, size_t rowSize) .. code:: // Returns floating point numpy array data of the image sensor on host memory // // Args: // // arg0 (type): The image sensor to retrieve the numpy data for // // arg1 (width): The width of the image sensor // // arg2 (height): The height of the image sensor // // arg3 (rowSize): The row size in bytes of the image sensor get_sensor_host_float_texture_array(carb::sensors::SensorType type, size_t width, size_t height, size_t rowSize) .. code:: // Returns floating point numpy array data of the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_float_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns 32-bit unsigned integer numpy array data of the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_uint32_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns 32-bit signed integer numpy array data of the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_int32_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns a numpy array of BoundingBox2DValues data for the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_bounding_box_2d_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns a numpy array of BoundingBox3DValues data for the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_bounding_box_3d_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns a numpy array of OcclusionValues data for the attribute sensor on host memory // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_occlusion_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns a numpy array of TruncationValues data for the attribute sensor on host memory (TODO) // // Args: // // arg0 (type): The attribute sensor to retrieve the numpy data for // // arg1 (size): The size of the attribute sensor in bytes get_sensor_host_truncation_buffer_array(carb::sensors::SensorType type, size_t size) .. code:: // Returns the instance ID of the specified mesh as represented by sensor data // // Args: // // arg0 (uri): The representation of the mesh in the USD scene get_instance_segmentation_id(const char* uri) .. code:: // DEPRECATED (v0.3.0) Returns the semantic ID of the specified name and type as represented by sensor data // // Args: // // arg0 (type): The semantic type name // // arg1 (data): The semantic data name get_semantic_segmentation_id_from_data(const char* type, const char* data) .. code:: // DEPRECATED (v0.3.0) Returns the semantic class name of the semantic ID represented by sensor data // // Args: // // arg0 (semanticId): The semantic ID get_semantic_segmentation_data_from_id(uint16_t semanticId) .. code:: // DEPRECATED (v0.3.0) Specify which semantic classes to retrieve bounding boxes for // // Args: // // arg0 (semanticId): The semantic ID to retrieve bounding boxes for set_bounding_box_semantic_segmentation_id(uint16_t semanticId) .. code:: // DEPRECATED (v0.3.0) Specify which semantic classes to retrieve bounding boxes for // // Args: // // arg0 (data): The semantic data class name to retrieve bounding boxes for set_bounding_box_semantic_segmentation_data(std::string data)
omniverse-code/kit/exts/omni.usd.schema.audio/pxr/AudioSchema/__init__.py
#!/usr/bin/env python3 # # Copyright (c) 2020-2021, NVIDIA CORPORATION. All rights reserved. # # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. # import omni.log omni.log.warn("pxr.AudioSchema is deprecated - please use pxr.OmniAudioSchema instead") from pxr.OmniAudioSchema import *
omniverse-code/kit/exts/omni.usd.schema.audio/pxr/OmniAudioSchema/__init__.py
# #==== # Copyright (c) 2019-2021, NVIDIA CORPORATION #====== # # # Copyright 2016 Pixar # # Licensed under the Apache License, Version 2.0 (the "Apache License") # with the following modification; you may not use this file except in # compliance with the Apache License and the following modification to it: # Section 6. Trademarks. is deleted and replaced with: # # 6. Trademarks. This License does not grant permission to use the trade # names, trademarks, service marks, or product names of the Licensor # and its affiliates, except as required to comply with Section 4(c) of # the License and to reproduce the content of the NOTICE file. # # You may obtain a copy of the Apache License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the Apache License with the above modification is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the Apache License for the specific # language governing permissions and limitations under the Apache License. # import os import sys py38 = (3,8) current_version = sys.version_info if os.name == 'nt' and current_version >= py38: from pathlib import Path os.add_dll_directory(Path.joinpath(Path(os.path.dirname(__file__)), Path('..\\..\\')).__str__()) from . import _omniAudioSchema from pxr import Tf Tf.PrepareModule(_omniAudioSchema, locals()) del Tf try: import __DOC __DOC.Execute(locals()) del __DOC except Exception: try: import __tmpDoc __tmpDoc.Execute(locals()) del __tmpDoc except: pass
omniverse-code/kit/exts/omni.usd.schema.audio/pxr/OmniAudioSchema/_omniAudioSchema.pyi
from __future__ import annotations import pxr.OmniAudioSchema._omniAudioSchema import typing import Boost.Python import pxr.OmniAudioSchema import pxr.Usd import pxr.UsdGeom __all__ = [ "Listener", "OmniListener", "OmniSound", "Sound", "Tokens" ] class Listener(OmniListener, pxr.UsdGeom.Xformable, pxr.UsdGeom.Imageable, pxr.Usd.Typed, pxr.Usd.SchemaBase, Boost.Python.instance): @staticmethod def Define(*args, **kwargs) -> None: ... @staticmethod def Get(*args, **kwargs) -> None: ... @staticmethod def GetSchemaAttributeNames(*args, **kwargs) -> None: ... @staticmethod def _GetStaticTfType(*args, **kwargs) -> None: ... __instance_size__ = 40 pass class OmniListener(pxr.UsdGeom.Xformable, pxr.UsdGeom.Imageable, pxr.Usd.Typed, pxr.Usd.SchemaBase, Boost.Python.instance): @staticmethod def CreateConeAnglesAttr(*args, **kwargs) -> None: ... @staticmethod def CreateConeLowPassFilterAttr(*args, **kwargs) -> None: ... @staticmethod def CreateConeVolumesAttr(*args, **kwargs) -> None: ... @staticmethod def CreateOrientationFromViewAttr(*args, **kwargs) -> None: ... @staticmethod def Define(*args, **kwargs) -> None: ... @staticmethod def Get(*args, **kwargs) -> None: ... @staticmethod def GetConeAnglesAttr(*args, **kwargs) -> None: ... @staticmethod def GetConeLowPassFilterAttr(*args, **kwargs) -> None: ... @staticmethod def GetConeVolumesAttr(*args, **kwargs) -> None: ... @staticmethod def GetOrientationFromViewAttr(*args, **kwargs) -> None: ... @staticmethod def GetSchemaAttributeNames(*args, **kwargs) -> None: ... @staticmethod def _GetStaticTfType(*args, **kwargs) -> None: ... __instance_size__ = 40 pass class Sound(OmniSound, pxr.UsdGeom.Xformable, pxr.UsdGeom.Imageable, pxr.Usd.Typed, pxr.Usd.SchemaBase, Boost.Python.instance): @staticmethod def Define(*args, **kwargs) -> None: ... @staticmethod def Get(*args, **kwargs) -> None: ... @staticmethod def GetSchemaAttributeNames(*args, **kwargs) -> None: ... @staticmethod def _GetStaticTfType(*args, **kwargs) -> None: ... __instance_size__ = 40 pass class OmniSound(pxr.UsdGeom.Xformable, pxr.UsdGeom.Imageable, pxr.Usd.Typed, pxr.Usd.SchemaBase, Boost.Python.instance): @staticmethod def CreateAttenuationRangeAttr(*args, **kwargs) -> None: ... @staticmethod def CreateAttenuationTypeAttr(*args, **kwargs) -> None: ... @staticmethod def CreateAuralModeAttr(*args, **kwargs) -> None: ... @staticmethod def CreateConeAnglesAttr(*args, **kwargs) -> None: ... @staticmethod def CreateConeLowPassFilterAttr(*args, **kwargs) -> None: ... @staticmethod def CreateConeVolumesAttr(*args, **kwargs) -> None: ... @staticmethod def CreateEnableDistanceDelayAttr(*args, **kwargs) -> None: ... @staticmethod def CreateEnableDopplerAttr(*args, **kwargs) -> None: ... @staticmethod def CreateEnableInterauralDelayAttr(*args, **kwargs) -> None: ... @staticmethod def CreateEndTimeAttr(*args, **kwargs) -> None: ... @staticmethod def CreateFilePathAttr(*args, **kwargs) -> None: ... @staticmethod def CreateGainAttr(*args, **kwargs) -> None: ... @staticmethod def CreateLoopCountAttr(*args, **kwargs) -> None: ... @staticmethod def CreateMediaOffsetEndAttr(*args, **kwargs) -> None: ... @staticmethod def CreateMediaOffsetStartAttr(*args, **kwargs) -> None: ... @staticmethod def CreatePriorityAttr(*args, **kwargs) -> None: ... @staticmethod def CreateStartTimeAttr(*args, **kwargs) -> None: ... @staticmethod def CreateTimeScaleAttr(*args, **kwargs) -> None: ... @staticmethod def Define(*args, **kwargs) -> None: ... @staticmethod def Get(*args, **kwargs) -> None: ... @staticmethod def GetAttenuationRangeAttr(*args, **kwargs) -> None: ... @staticmethod def GetAttenuationTypeAttr(*args, **kwargs) -> None: ... @staticmethod def GetAuralModeAttr(*args, **kwargs) -> None: ... @staticmethod def GetConeAnglesAttr(*args, **kwargs) -> None: ... @staticmethod def GetConeLowPassFilterAttr(*args, **kwargs) -> None: ... @staticmethod def GetConeVolumesAttr(*args, **kwargs) -> None: ... @staticmethod def GetEnableDistanceDelayAttr(*args, **kwargs) -> None: ... @staticmethod def GetEnableDopplerAttr(*args, **kwargs) -> None: ... @staticmethod def GetEnableInterauralDelayAttr(*args, **kwargs) -> None: ... @staticmethod def GetEndTimeAttr(*args, **kwargs) -> None: ... @staticmethod def GetFilePathAttr(*args, **kwargs) -> None: ... @staticmethod def GetGainAttr(*args, **kwargs) -> None: ... @staticmethod def GetLoopCountAttr(*args, **kwargs) -> None: ... @staticmethod def GetMediaOffsetEndAttr(*args, **kwargs) -> None: ... @staticmethod def GetMediaOffsetStartAttr(*args, **kwargs) -> None: ... @staticmethod def GetPriorityAttr(*args, **kwargs) -> None: ... @staticmethod def GetSchemaAttributeNames(*args, **kwargs) -> None: ... @staticmethod def GetStartTimeAttr(*args, **kwargs) -> None: ... @staticmethod def GetTimeScaleAttr(*args, **kwargs) -> None: ... @staticmethod def _GetStaticTfType(*args, **kwargs) -> None: ... __instance_size__ = 40 pass class Tokens(Boost.Python.instance): attenuationRange = 'attenuationRange' attenuationType = 'attenuationType' auralMode = 'auralMode' coneAngles = 'coneAngles' coneLowPassFilter = 'coneLowPassFilter' coneVolumes = 'coneVolumes' default_ = 'default' enableDistanceDelay = 'enableDistanceDelay' enableDoppler = 'enableDoppler' enableInterauralDelay = 'enableInterauralDelay' endTime = 'endTime' filePath = 'filePath' gain = 'gain' inverse = 'inverse' linear = 'linear' linearSquare = 'linearSquare' loopCount = 'loopCount' mediaOffsetEnd = 'mediaOffsetEnd' mediaOffsetStart = 'mediaOffsetStart' nonSpatial = 'nonSpatial' off = 'off' on = 'on' orientationFromView = 'orientationFromView' priority = 'priority' spatial = 'spatial' startTime = 'startTime' timeScale = 'timeScale' pass __MFB_FULL_PACKAGE_NAME = 'omniAudioSchema'
omniverse-code/kit/exts/omni.usd.schema.audio/plugins/OmniAudioSchema/resources/generatedSchema.usda
#usda 1.0 ( "WARNING: THIS FILE IS GENERATED BY usdGenSchema. DO NOT EDIT." ) class OmniSound "OmniSound" ( doc = """\r The Sound primitive defines the parameters for spatial or non-spatial\r audio playback from an audio asset.\r \r The spatial effects are calculated based on the position given by the\r UsdGeomXformable base class, as well as some of the additional\r properties add by this schema.\r These prims should be attached to the object that's emitting the audio,\r if applicable, so that the sound will not have to duplicate the\r animation of that object.\r The startTime and endTime attributes respect layer offsets and time\r scaling specified by layers.\r The time scale specified by layers does not affect audio playback\r speed; if an alteration to the playback speed is desired, there is a\r timeScale parameter that can be adjusted.\r Setting a negative time scale on the layer will not result in the audio\r being played in reverse.\r """ ) { double2 attenuationRange = (0, 10000) ( displayName = "Attenuation Range" doc = """\r The range at which distance attenuation will occur.\r This is only enabled when auralMode is 'spatial'.\r When the listener's distance from the sound is less than attenuationRange.x,\r the sound will be played at full volume.\r When the listener's distance from the sound is between attenuationRange.x\r and attenuationRange.y, the sound will ramp down to 0.0 volume as the\r distance grows.\r When the listener's distance from the sound is past attenuationRange.y,\r the sound will be silent.\r attenuationRange.y must be greater than attenuationRange.x.\r """ ) uniform token attenuationType = "inverse" ( allowedTokens = ["inverse", "linear", "linearSquare"] displayName = "Attenuation Type" doc = """\r The curve that the distance attenuation will follow.\r This is only used when auralMode is 'spatial'.\r These are the curves that the tokens calculate:\r - inverse: (attenuationRange.y * K) / (1.0 + distance - attenuationRange.x)\r - linear: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x)\r - linearSquare: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x)^2\r \r The inverse rolloff curve is implemented as a polynomial approximation of\r the equation above to ensure that volume is attenuated to 0.0 when distance\r reaches attenuationRange.y.\r The constant K in the inverse calculation exists to specify that\r attenuationRange.y is not the 0.5 volume point on the curve.\r """ ) uniform token auralMode = "spatial" ( allowedTokens = ["spatial", "nonSpatial"] displayName = "Aural Mode" doc = """\r This chooses whether the sound has spatial effects, such as distance\r attenuation, directionality, Doppler effects, etc.\r This must be one of the following values:\r - nonSpatial: The sound will play with no additional effects\r inherited from its position and velocity in 3D space.\r The intended usage of this is for non-spatial effects, such as music,\r narration and some types of ambient sound.\r Multi-channel audio will be played directly through to the audio\r device, if possible; otherwise it will be downmixed as determined\r appropriate by the application.\r - spatial: The sound will play with some effects due to its position\r and velocity in 3D space.\r Mono sounds are recommended for spatial audio as multiple channels\r will be effectively playing from the same point in 3D space.\r """ ) double2 coneAngles = (180, 180) ( displayName = "Cone Angles" doc = """\r The angles used for the directional cone of a spatial sound's audio.\r This is used to simulate sound sources that are directional, so the\r listener will hear the sound normally when standing in front of the sound\r source, but the listener will hear a quieter and muffled version of the\r sound when standing behind or at a wide angle from the sound source.\r \r This is only enabled when auralMode is 'spatial'.\r A cone defines the angle from the forward vector where the sound's\r volume begins to attenuate.\r The cone has two angles: the inner angle (coneAngles.x) and the outer\r angle (coneAngles.y). The inner angle must be less than or equal to the\r outer angle.\r An omnidirectional emitter should have these set to (180.0, 180.0).\r When the listener is within the inner angle of this cone, the sound's\r volume will be at coneVolumes.x and the sound's low pass filter effect\r will be at coneLowPassFilter.x.\r Between the inner angle and the outer angle of the cone, the volume will\r ramp down to coneVolumes.y and the sound's low pass filter effect will\r be ramp down to coneLowPassFilter.y.\r When the listener is past the outer angle of the cone, the volume will\r be at coneVolumes.y and the sound's low pass filter effect will be\r at coneLowPassFilter.y.\r The cone angles are specified as degrees from the forward vector of the\r sound; these are clamped to the range of [0, 180].\r """ ) double2 coneLowPassFilter = (0, 0) ( displayName = "Cone Lowpass Filter" doc = """\r The low pass filter effect that is applied onto the cone.\r This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering).\r An increase in low pass filtering will result in the sound being more\r muffled sounding, which can simulate the effect of hearing the sound\r mostly through reverberation.\r coneLowPassFilter.x is the low pass filter value for the inner cone.\r coneLowPassFilter.y is the low pass filter value for the outer cone.\r """ ) double2 coneVolumes = (1, 0) ( displayName = "Cone Volumes" doc = """\r The volume in the outer region of the cone.\r This is a volume modifier for cone calculations.\r This multiplies by the gain.\r coneVolumes.x is the volume for the inner cone.\r coneVolumes.y is the volume for the outer cone.\r """ ) uniform token enableDistanceDelay = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Distance Delay" doc = '''\r Choose whether a distance delay effect is applied to this sound.\r The distance delay will cause the start time of the sound to be delayed\r relative to the distance between the sound and the listener.\r The delay is calculated based on the current speed of sound; for\r example, if the listener and sound are separated by 340 meters and the\r speed of sound is 340m/s, the delay will be 1 second.\r Enabling this will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to "nonSpatial"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The distance delay effect is applied.\r - off: The distance delay effect is not applied.\r ''' ) uniform token enableDoppler = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Doppler Effects" doc = '''\r choose whether the Doppler effect is applied to this sound.\r The Doppler effect alters the pitch of a sound based on its relative\r velocity to the listener. When the listener and a sound are moving\r toward each other, the sound will be played at a greater speed, and when\r they are moving away from each other, the sound will be played at a\r lower speed.\r Enabling the Doppler effect will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to "nonSpatial"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The Doppler effect is applied.\r - off: The Doppler effect is not applied.\r ''' ) uniform token enableInterauralDelay = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Interaural Delay" doc = """\r Choose whether an interaural delay effect is applied to this sound.\r This causes the sound to arrive slightly later on one ear than the other,\r based on the sound's angle relative to the listener's front.\r This simulates the real world effect of the delay between the right and\r left ear when audio arrives at an angle to the head, which should improve\r the quality of the directional audio effect.\r Omniverse Kit only will apply this effect on mono spatial sounds when\r the speaker configuration is stereo.\r Note that this effect may cause slight audio distortion when an emitter's\r relative angle to the listener changes; this is only obvious when playing\r pure sine waves while the emitter's relative angle to the listener changes\r rapidly.\r Enabling this will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to \"nonSpatial\"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The interaural delay effect is applied.\r - off: The interaural delay effect is not applied.\r """ ) uniform timecode endTime = 0 ( displayName = "End Time Index" doc = """\r The time in the animation timeline when this sound will end.\r If this value is less than or equal to startTime, then the sound will\r play until it naturally ends (or the animation timeline ends).\r timeScale has no effect on the end time, since it's relative to the timeline.\r This can be converted to seconds by dividing by the timeCodesPerSecond\r value of the stage that this is within.\r Layer offsets will be applied because this is a timecode.\r """ ) uniform asset filePath = @@ ( displayName = "File Path" doc = """\r The file path to the sound that will be played.\r Omniverse Kit supports the following formats:\r - Vorbis (.ogg/.oga)\r - Opus (.ogg/.oga)\r - FLAC (.flac or .ogg/.oga)\r - MP3 (.mp3)\r It is recommended to use Vorbis or Opus instead of MP3 where possible.\r - WAVE (.wav/.wave)\r Supported WAVE formats:\r - 8 bit unsigned PCM\r - 16, 24, 32 bit signed PCM\r - 32 bit float PCM\r Omniverse Kit supports up to 64 channels in sound assets.\r """ ) double gain = 1 ( displayName = "Gain" doc = """\r The volume of the sound.\r This is a unitless linear volume scale where 0.0 is silence and 1.0 is full volume.\r Setting gain above 1.0 will amplify the signal but potentially result in some distortion\r during playback.\r Negative volumes will invert the signal.\r """ ) uniform int loopCount = 0 ( displayName = "Loop Count" doc = """\r The number of additional loops of this sound that will be played.\r If this is 0, the sound will play once; If this is 1, the sound will play twice; etc.\r Negative values will cause the sound to loop infinitely.\r """ ) uniform double mediaOffsetEnd = 0 ( displayName = "Media Offset End" doc = """\r The time offset in the sound asset that the sound will finish playing at.\r This is a time value measured in seconds.\r The time value is relative to the start of the asset.\r For example, a sound with mediaOffset 2 and mediaOffsetEnd 12 will play\r for 10 seconds.\r This value is ignored if it is less than or equal to mediaOffset.\r """ ) uniform double mediaOffsetStart = 0 ( displayName = "Media Offset Start" doc = """\r The time offset to start playing the sound asset at.\r This is a time value measured in seconds.\r For example, setting this to 0.2 will skip the first 0.2 seconds of the\r sound asset being played.\r Setting this to a value less than 0 or greater than the length of the\r sound asset will cause the sound to not be played.\r Omniverse Kit will automatically apply a 20ms fade-in effect on the\r sound if this value is not set to 0, so that a pop will not occur if the\r offset does not correspond to a zero-crossing in the sound asset.\r """ ) uniform int priority = 0 ( displayName = "Relative Playback Priority" doc = """\r The priority of the sound.\r In Omniverse Kit, there is a limit on the number of sounds that can be\r played simultaneously.\r In a very busy scene which exceeds this number of sounds, some sounds\r will stop being played to the audio device (this is referred to as the\r sound being virtual).\r Priority can be used to specify that some sounds are not very important\r so they should be made virtual first and that some sounds are important\r so they should be made virtual last.\r A larger value corresponds to a higher priority and a lesser value\r corresponds to a lower priority; negative values are allowed.\r Priority values have no meaning by themselves; their only usage is to\r specify their priority relative to other sounds. For example, 2 sounds\r with 0 priority and 1 sound with 1 priority will function the same as 2\r sounds with -100 priority and 1 sound with 100 priority.\r """ ) rel proxyPrim ( doc = '''The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target) purpose="proxy" prim. This is entirely optional, but can be useful in several scenarios: - In a pipeline that does pruning (for complexity management) by deactivating prims composed from asset references, when we deactivate a purpose="render" prim, we will be able to discover and additionally deactivate its associated purpose="proxy" prim, so that preview renders reflect the pruning accurately. - DCC importers may be able to make more aggressive optimizations for interactive processing and display if they can discover the proxy for a given render prim. - With a little more work, a Hydra-based application will be able to map a picked proxy prim back to its render geometry for selection. \\note It is only valid to author the proxyPrim relationship on prims whose purpose is "render".''' ) uniform token purpose = "default" ( allowedTokens = ["default", "render", "proxy", "guide"] doc = """Purpose is a classification of geometry into categories that can each be independently included or excluded from traversals of prims on a stage, such as rendering or bounding-box computation traversals. See for more detail about how purpose is computed and used.""" ) uniform timecode startTime = 0 ( displayName = "Start Time Index" doc = """\r The time in the animation timeline when this sound will be played.\r If this is negative, the sound will never be played (this functionality\r may be useful for sounds intended to be triggered from scripts).\r This can be converted to seconds by dividing by the timeCodesPerSecond\r value of the stage that this is within.\r Layer offsets will be applied because this is a timecode.\r """ ) double timeScale = 1 ( displayName = "Time Scale" doc = """\r The rate at which the sound is played relative to realtime.\r For example, setting this to 0.5 will play the sound at half speed and\r setting this to 2.0 will play the sound at double speed.\r Altering the playback speed of a sound will affect the pitch of the sound.\r This does not affect the timing of the distance delay effect.\r The limits of this setting under Omniverse Kit are [1/1024, 1024].\r Omniverse Kit does not perform any form of antialiasing filter when\r applying this effect, so increasing this setting excessively will cause\r aliasing in the resulting audio.\r """ ) token visibility = "inherited" ( allowedTokens = ["inherited", "invisible"] doc = '''Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is animatable, allowing a sub-tree of geometry to be present for some segment of a shot, and absent from others; unlike the action of deactivating geometry prims, invisible geometry is still available for inspection, for positioning, for defining volumes, etc.''' ) uniform token[] xformOpOrder ( doc = """Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while visiting a UsdStage's prims in a graph traversal that will effect the desired positioning for this prim and its descendant prims. You should rarely, if ever, need to manipulate this attribute directly. It is managed by the AddXformOp(), SetResetXformStack(), and SetXformOpOrder(), and consulted by GetOrderedXformOps() and GetLocalTransformation().""" ) } class Sound "Sound" ( doc = "Deprecated. Use OmniSound instead." ) { double2 attenuationRange = (0, 10000) ( displayName = "Attenuation Range" doc = """\r The range at which distance attenuation will occur.\r This is only enabled when auralMode is 'spatial'.\r When the listener's distance from the sound is less than attenuationRange.x,\r the sound will be played at full volume.\r When the listener's distance from the sound is between attenuationRange.x\r and attenuationRange.y, the sound will ramp down to 0.0 volume as the\r distance grows.\r When the listener's distance from the sound is past attenuationRange.y,\r the sound will be silent.\r attenuationRange.y must be greater than attenuationRange.x.\r """ ) uniform token attenuationType = "inverse" ( allowedTokens = ["inverse", "linear", "linearSquare"] displayName = "Attenuation Type" doc = """\r The curve that the distance attenuation will follow.\r This is only used when auralMode is 'spatial'.\r These are the curves that the tokens calculate:\r - inverse: (attenuationRange.y * K) / (1.0 + distance - attenuationRange.x)\r - linear: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x)\r - linearSquare: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x)^2\r \r The inverse rolloff curve is implemented as a polynomial approximation of\r the equation above to ensure that volume is attenuated to 0.0 when distance\r reaches attenuationRange.y.\r The constant K in the inverse calculation exists to specify that\r attenuationRange.y is not the 0.5 volume point on the curve.\r """ ) uniform token auralMode = "spatial" ( allowedTokens = ["spatial", "nonSpatial"] displayName = "Aural Mode" doc = """\r This chooses whether the sound has spatial effects, such as distance\r attenuation, directionality, Doppler effects, etc.\r This must be one of the following values:\r - nonSpatial: The sound will play with no additional effects\r inherited from its position and velocity in 3D space.\r The intended usage of this is for non-spatial effects, such as music,\r narration and some types of ambient sound.\r Multi-channel audio will be played directly through to the audio\r device, if possible; otherwise it will be downmixed as determined\r appropriate by the application.\r - spatial: The sound will play with some effects due to its position\r and velocity in 3D space.\r Mono sounds are recommended for spatial audio as multiple channels\r will be effectively playing from the same point in 3D space.\r """ ) double2 coneAngles = (180, 180) ( displayName = "Cone Angles" doc = """\r The angles used for the directional cone of a spatial sound's audio.\r This is used to simulate sound sources that are directional, so the\r listener will hear the sound normally when standing in front of the sound\r source, but the listener will hear a quieter and muffled version of the\r sound when standing behind or at a wide angle from the sound source.\r \r This is only enabled when auralMode is 'spatial'.\r A cone defines the angle from the forward vector where the sound's\r volume begins to attenuate.\r The cone has two angles: the inner angle (coneAngles.x) and the outer\r angle (coneAngles.y). The inner angle must be less than or equal to the\r outer angle.\r An omnidirectional emitter should have these set to (180.0, 180.0).\r When the listener is within the inner angle of this cone, the sound's\r volume will be at coneVolumes.x and the sound's low pass filter effect\r will be at coneLowPassFilter.x.\r Between the inner angle and the outer angle of the cone, the volume will\r ramp down to coneVolumes.y and the sound's low pass filter effect will\r be ramp down to coneLowPassFilter.y.\r When the listener is past the outer angle of the cone, the volume will\r be at coneVolumes.y and the sound's low pass filter effect will be\r at coneLowPassFilter.y.\r The cone angles are specified as degrees from the forward vector of the\r sound; these are clamped to the range of [0, 180].\r """ ) double2 coneLowPassFilter = (0, 0) ( displayName = "Cone Lowpass Filter" doc = """\r The low pass filter effect that is applied onto the cone.\r This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering).\r An increase in low pass filtering will result in the sound being more\r muffled sounding, which can simulate the effect of hearing the sound\r mostly through reverberation.\r coneLowPassFilter.x is the low pass filter value for the inner cone.\r coneLowPassFilter.y is the low pass filter value for the outer cone.\r """ ) double2 coneVolumes = (1, 0) ( displayName = "Cone Volumes" doc = """\r The volume in the outer region of the cone.\r This is a volume modifier for cone calculations.\r This multiplies by the gain.\r coneVolumes.x is the volume for the inner cone.\r coneVolumes.y is the volume for the outer cone.\r """ ) uniform token enableDistanceDelay = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Distance Delay" doc = '''\r Choose whether a distance delay effect is applied to this sound.\r The distance delay will cause the start time of the sound to be delayed\r relative to the distance between the sound and the listener.\r The delay is calculated based on the current speed of sound; for\r example, if the listener and sound are separated by 340 meters and the\r speed of sound is 340m/s, the delay will be 1 second.\r Enabling this will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to "nonSpatial"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The distance delay effect is applied.\r - off: The distance delay effect is not applied.\r ''' ) uniform token enableDoppler = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Doppler Effects" doc = '''\r choose whether the Doppler effect is applied to this sound.\r The Doppler effect alters the pitch of a sound based on its relative\r velocity to the listener. When the listener and a sound are moving\r toward each other, the sound will be played at a greater speed, and when\r they are moving away from each other, the sound will be played at a\r lower speed.\r Enabling the Doppler effect will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to "nonSpatial"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The Doppler effect is applied.\r - off: The Doppler effect is not applied.\r ''' ) uniform token enableInterauralDelay = "default" ( allowedTokens = ["default", "on", "off"] displayName = "Enable Interaural Delay" doc = """\r Choose whether an interaural delay effect is applied to this sound.\r This causes the sound to arrive slightly later on one ear than the other,\r based on the sound's angle relative to the listener's front.\r This simulates the real world effect of the delay between the right and\r left ear when audio arrives at an angle to the head, which should improve\r the quality of the directional audio effect.\r Omniverse Kit only will apply this effect on mono spatial sounds when\r the speaker configuration is stereo.\r Note that this effect may cause slight audio distortion when an emitter's\r relative angle to the listener changes; this is only obvious when playing\r pure sine waves while the emitter's relative angle to the listener changes\r rapidly.\r Enabling this will increase the CPU cost of audio processing.\r This value is ignored if auralMode is set to \"nonSpatial\"\r This must be one of the following values:\r - default: The state of this is inherited from the active Listener in\r the scene.\r - on: The interaural delay effect is applied.\r - off: The interaural delay effect is not applied.\r """ ) uniform timecode endTime = 0 ( displayName = "End Time Index" doc = """\r The time in the animation timeline when this sound will end.\r If this value is less than or equal to startTime, then the sound will\r play until it naturally ends (or the animation timeline ends).\r timeScale has no effect on the end time, since it's relative to the timeline.\r This can be converted to seconds by dividing by the timeCodesPerSecond\r value of the stage that this is within.\r Layer offsets will be applied because this is a timecode.\r """ ) uniform asset filePath = @@ ( displayName = "File Path" doc = """\r The file path to the sound that will be played.\r Omniverse Kit supports the following formats:\r - Vorbis (.ogg/.oga)\r - Opus (.ogg/.oga)\r - FLAC (.flac or .ogg/.oga)\r - MP3 (.mp3)\r It is recommended to use Vorbis or Opus instead of MP3 where possible.\r - WAVE (.wav/.wave)\r Supported WAVE formats:\r - 8 bit unsigned PCM\r - 16, 24, 32 bit signed PCM\r - 32 bit float PCM\r Omniverse Kit supports up to 64 channels in sound assets.\r """ ) double gain = 1 ( displayName = "Gain" doc = """\r The volume of the sound.\r This is a unitless linear volume scale where 0.0 is silence and 1.0 is full volume.\r Setting gain above 1.0 will amplify the signal but potentially result in some distortion\r during playback.\r Negative volumes will invert the signal.\r """ ) uniform int loopCount = 0 ( displayName = "Loop Count" doc = """\r The number of additional loops of this sound that will be played.\r If this is 0, the sound will play once; If this is 1, the sound will play twice; etc.\r Negative values will cause the sound to loop infinitely.\r """ ) uniform double mediaOffsetEnd = 0 ( displayName = "Media Offset End" doc = """\r The time offset in the sound asset that the sound will finish playing at.\r This is a time value measured in seconds.\r The time value is relative to the start of the asset.\r For example, a sound with mediaOffset 2 and mediaOffsetEnd 12 will play\r for 10 seconds.\r This value is ignored if it is less than or equal to mediaOffset.\r """ ) uniform double mediaOffsetStart = 0 ( displayName = "Media Offset Start" doc = """\r The time offset to start playing the sound asset at.\r This is a time value measured in seconds.\r For example, setting this to 0.2 will skip the first 0.2 seconds of the\r sound asset being played.\r Setting this to a value less than 0 or greater than the length of the\r sound asset will cause the sound to not be played.\r Omniverse Kit will automatically apply a 20ms fade-in effect on the\r sound if this value is not set to 0, so that a pop will not occur if the\r offset does not correspond to a zero-crossing in the sound asset.\r """ ) uniform int priority = 0 ( displayName = "Relative Playback Priority" doc = """\r The priority of the sound.\r In Omniverse Kit, there is a limit on the number of sounds that can be\r played simultaneously.\r In a very busy scene which exceeds this number of sounds, some sounds\r will stop being played to the audio device (this is referred to as the\r sound being virtual).\r Priority can be used to specify that some sounds are not very important\r so they should be made virtual first and that some sounds are important\r so they should be made virtual last.\r A larger value corresponds to a higher priority and a lesser value\r corresponds to a lower priority; negative values are allowed.\r Priority values have no meaning by themselves; their only usage is to\r specify their priority relative to other sounds. For example, 2 sounds\r with 0 priority and 1 sound with 1 priority will function the same as 2\r sounds with -100 priority and 1 sound with 100 priority.\r """ ) rel proxyPrim ( doc = '''The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target) purpose="proxy" prim. This is entirely optional, but can be useful in several scenarios: - In a pipeline that does pruning (for complexity management) by deactivating prims composed from asset references, when we deactivate a purpose="render" prim, we will be able to discover and additionally deactivate its associated purpose="proxy" prim, so that preview renders reflect the pruning accurately. - DCC importers may be able to make more aggressive optimizations for interactive processing and display if they can discover the proxy for a given render prim. - With a little more work, a Hydra-based application will be able to map a picked proxy prim back to its render geometry for selection. \\note It is only valid to author the proxyPrim relationship on prims whose purpose is "render".''' ) uniform token purpose = "default" ( allowedTokens = ["default", "render", "proxy", "guide"] doc = """Purpose is a classification of geometry into categories that can each be independently included or excluded from traversals of prims on a stage, such as rendering or bounding-box computation traversals. See for more detail about how purpose is computed and used.""" ) uniform timecode startTime = 0 ( displayName = "Start Time Index" doc = """\r The time in the animation timeline when this sound will be played.\r If this is negative, the sound will never be played (this functionality\r may be useful for sounds intended to be triggered from scripts).\r This can be converted to seconds by dividing by the timeCodesPerSecond\r value of the stage that this is within.\r Layer offsets will be applied because this is a timecode.\r """ ) double timeScale = 1 ( displayName = "Time Scale" doc = """\r The rate at which the sound is played relative to realtime.\r For example, setting this to 0.5 will play the sound at half speed and\r setting this to 2.0 will play the sound at double speed.\r Altering the playback speed of a sound will affect the pitch of the sound.\r This does not affect the timing of the distance delay effect.\r The limits of this setting under Omniverse Kit are [1/1024, 1024].\r Omniverse Kit does not perform any form of antialiasing filter when\r applying this effect, so increasing this setting excessively will cause\r aliasing in the resulting audio.\r """ ) token visibility = "inherited" ( allowedTokens = ["inherited", "invisible"] doc = '''Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is animatable, allowing a sub-tree of geometry to be present for some segment of a shot, and absent from others; unlike the action of deactivating geometry prims, invisible geometry is still available for inspection, for positioning, for defining volumes, etc.''' ) uniform token[] xformOpOrder ( doc = """Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while visiting a UsdStage's prims in a graph traversal that will effect the desired positioning for this prim and its descendant prims. You should rarely, if ever, need to manipulate this attribute directly. It is managed by the AddXformOp(), SetResetXformStack(), and SetXformOpOrder(), and consulted by GetOrderedXformOps() and GetLocalTransformation().""" ) } class OmniListener "OmniListener" ( doc = """\r The Listener primitive defines the parameters for audio played to the\r audio device by the application viewing the USD scene.\r The most important role for the Listener is to have a position in 3D\r space so that the spatial effects can be applied correctly.\r This is separate from the camera because in some cases the camera does\r not play this role suitably. An example of a case where a listener\r detached from the camera is ideal would be a third person game;\r attaching the listener to the camera would cause undesirable effects\r like applying a doppler shift when the camera zooms in and attenuation\r of sounds that are near the character being played.\r """ ) { double2 coneAngles = (180, 180) ( displayName = "Cone Angles" doc = """\r The angles used for the directional cone of a listener's hearing.\r A cone defines the angle from the forward vector where the listener's\r volume begins to attenuate.\r The cone has two angles: the inner angle (coneAngles.x) and the outer\r angle (coneAngles.y). The inner angle must be less than or equal to the\r outer angle.\r An omnidirectional listener should have these set to (180.0, 180.0).\r When the listener is within the inner angle of this cone, the\r listener's volume will be at coneVolumes.x and the listener's low pass\r filter effect will be at coneLowPassFilter.x.\r Between the inner angle and the outer angle of the cone, the volume will\r ramp down to coneVolume.y and the listener's low pass filter effect will\r be ramp down to coneLowPassFilter.y.\r When the listener is past the outer angle of the cone, the volume will\r be at coneVolume.y and the listener's low pass filter effect will be\r at coneLowPassFilter.y.\r The cone angles are specified as degrees from the forward vector of the\r listener; these are clamped to the range of [0, 180].\r """ ) double2 coneLowPassFilter = (0, 0) ( displayName = "Cone Lowpass Filter" doc = """\r The low pass filter effect that is applied onto the cone.\r This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering).\r An increase in low pass filtering will result in the audio being more\r muffled sounding, which can simulate the effect of hearing sounds\r mostly through reverberation.\r """ ) double2 coneVolumes = (1, 0) ( displayName = "Cone Volumes" doc = """\r The volume in the regions of the cone.\r coneVolumes.x is the volume for the inner cone.\r coneVolumes.y is the volume for the outer cone.\r """ ) uniform bool orientationFromView = 1 ( displayName = "Enable Orientation From View" doc = """\r This specifies whether the Listener's orientation should be taken from\r the current camera, rather than the xform of this Listener.\r It may be desirable to have the spatial audio listener's position\r separate from the camera (ie: on a third person character or object),\r but have the orientation still come from the camera; having the\r orientation also attached to the world object may be disorienting to\r the user/viewer.\r An extreme example where this would be needed is a third person game\r where the player character is a marble that rolls around.\r """ ) rel proxyPrim ( doc = '''The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target) purpose="proxy" prim. This is entirely optional, but can be useful in several scenarios: - In a pipeline that does pruning (for complexity management) by deactivating prims composed from asset references, when we deactivate a purpose="render" prim, we will be able to discover and additionally deactivate its associated purpose="proxy" prim, so that preview renders reflect the pruning accurately. - DCC importers may be able to make more aggressive optimizations for interactive processing and display if they can discover the proxy for a given render prim. - With a little more work, a Hydra-based application will be able to map a picked proxy prim back to its render geometry for selection. \\note It is only valid to author the proxyPrim relationship on prims whose purpose is "render".''' ) uniform token purpose = "default" ( allowedTokens = ["default", "render", "proxy", "guide"] doc = """Purpose is a classification of geometry into categories that can each be independently included or excluded from traversals of prims on a stage, such as rendering or bounding-box computation traversals. See for more detail about how purpose is computed and used.""" ) token visibility = "inherited" ( allowedTokens = ["inherited", "invisible"] doc = '''Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is animatable, allowing a sub-tree of geometry to be present for some segment of a shot, and absent from others; unlike the action of deactivating geometry prims, invisible geometry is still available for inspection, for positioning, for defining volumes, etc.''' ) uniform token[] xformOpOrder ( doc = """Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while visiting a UsdStage's prims in a graph traversal that will effect the desired positioning for this prim and its descendant prims. You should rarely, if ever, need to manipulate this attribute directly. It is managed by the AddXformOp(), SetResetXformStack(), and SetXformOpOrder(), and consulted by GetOrderedXformOps() and GetLocalTransformation().""" ) } class Listener "Listener" ( doc = "Deprecated. Use OmniListener instead." ) { double2 coneAngles = (180, 180) ( displayName = "Cone Angles" doc = """\r The angles used for the directional cone of a listener's hearing.\r A cone defines the angle from the forward vector where the listener's\r volume begins to attenuate.\r The cone has two angles: the inner angle (coneAngles.x) and the outer\r angle (coneAngles.y). The inner angle must be less than or equal to the\r outer angle.\r An omnidirectional listener should have these set to (180.0, 180.0).\r When the listener is within the inner angle of this cone, the\r listener's volume will be at coneVolumes.x and the listener's low pass\r filter effect will be at coneLowPassFilter.x.\r Between the inner angle and the outer angle of the cone, the volume will\r ramp down to coneVolume.y and the listener's low pass filter effect will\r be ramp down to coneLowPassFilter.y.\r When the listener is past the outer angle of the cone, the volume will\r be at coneVolume.y and the listener's low pass filter effect will be\r at coneLowPassFilter.y.\r The cone angles are specified as degrees from the forward vector of the\r listener; these are clamped to the range of [0, 180].\r """ ) double2 coneLowPassFilter = (0, 0) ( displayName = "Cone Lowpass Filter" doc = """\r The low pass filter effect that is applied onto the cone.\r This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering).\r An increase in low pass filtering will result in the audio being more\r muffled sounding, which can simulate the effect of hearing sounds\r mostly through reverberation.\r """ ) double2 coneVolumes = (1, 0) ( displayName = "Cone Volumes" doc = """\r The volume in the regions of the cone.\r coneVolumes.x is the volume for the inner cone.\r coneVolumes.y is the volume for the outer cone.\r """ ) uniform bool orientationFromView = 1 ( displayName = "Enable Orientation From View" doc = """\r This specifies whether the Listener's orientation should be taken from\r the current camera, rather than the xform of this Listener.\r It may be desirable to have the spatial audio listener's position\r separate from the camera (ie: on a third person character or object),\r but have the orientation still come from the camera; having the\r orientation also attached to the world object may be disorienting to\r the user/viewer.\r An extreme example where this would be needed is a third person game\r where the player character is a marble that rolls around.\r """ ) rel proxyPrim ( doc = '''The proxyPrim relationship allows us to link a prim whose purpose is "render" to its (single target) purpose="proxy" prim. This is entirely optional, but can be useful in several scenarios: - In a pipeline that does pruning (for complexity management) by deactivating prims composed from asset references, when we deactivate a purpose="render" prim, we will be able to discover and additionally deactivate its associated purpose="proxy" prim, so that preview renders reflect the pruning accurately. - DCC importers may be able to make more aggressive optimizations for interactive processing and display if they can discover the proxy for a given render prim. - With a little more work, a Hydra-based application will be able to map a picked proxy prim back to its render geometry for selection. \\note It is only valid to author the proxyPrim relationship on prims whose purpose is "render".''' ) uniform token purpose = "default" ( allowedTokens = ["default", "render", "proxy", "guide"] doc = """Purpose is a classification of geometry into categories that can each be independently included or excluded from traversals of prims on a stage, such as rendering or bounding-box computation traversals. See for more detail about how purpose is computed and used.""" ) token visibility = "inherited" ( allowedTokens = ["inherited", "invisible"] doc = '''Visibility is meant to be the simplest form of "pruning" visibility that is supported by most DCC apps. Visibility is animatable, allowing a sub-tree of geometry to be present for some segment of a shot, and absent from others; unlike the action of deactivating geometry prims, invisible geometry is still available for inspection, for positioning, for defining volumes, etc.''' ) uniform token[] xformOpOrder ( doc = """Encodes the sequence of transformation operations in the order in which they should be pushed onto a transform stack while visiting a UsdStage's prims in a graph traversal that will effect the desired positioning for this prim and its descendant prims. You should rarely, if ever, need to manipulate this attribute directly. It is managed by the AddXformOp(), SetResetXformStack(), and SetXformOpOrder(), and consulted by GetOrderedXformOps() and GetLocalTransformation().""" ) }
omniverse-code/kit/exts/omni.usd.schema.audio/plugins/OmniAudioSchema/resources/OmniAudioSchema/schema.usda
#usda 1.0 ( subLayers = [ @usdGeom/schema.usda@ ] ) over "GLOBAL" ( customData = { string libraryName = "omniAudioSchema" string libraryPath = "./" string libraryPrefix = "OmniAudioSchema" } ) { } # The descriptor for a sound asset that can play in the animation timeline class OmniSound "OmniSound" ( inherits = </Xformable> doc = """ The Sound primitive defines the parameters for spatial or non-spatial audio playback from an audio asset. The spatial effects are calculated based on the position given by the UsdGeomXformable base class, as well as some of the additional properties add by this schema. These prims should be attached to the object that's emitting the audio, if applicable, so that the sound will not have to duplicate the animation of that object. The startTime and endTime attributes respect layer offsets and time scaling specified by layers. The time scale specified by layers does not affect audio playback speed; if an alteration to the playback speed is desired, there is a timeScale parameter that can be adjusted. Setting a negative time scale on the layer will not result in the audio being played in reverse. """ ) { uniform asset filePath = @@ ( displayName = "File Path" doc = """ The file path to the sound that will be played. Omniverse Kit supports the following formats: - Vorbis (.ogg/.oga) - Opus (.ogg/.oga) - FLAC (.flac or .ogg/.oga) - MP3 (.mp3) It is recommended to use Vorbis or Opus instead of MP3 where possible. - WAVE (.wav/.wave) Supported WAVE formats: - 8 bit unsigned PCM - 16, 24, 32 bit signed PCM - 32 bit float PCM Omniverse Kit supports up to 64 channels in sound assets. """) uniform token auralMode = "spatial" (allowedTokens = ["spatial", "nonSpatial"] displayName = "Aural Mode" doc = """ This chooses whether the sound has spatial effects, such as distance attenuation, directionality, Doppler effects, etc. This must be one of the following values: - nonSpatial: The sound will play with no additional effects inherited from its position and velocity in 3D space. The intended usage of this is for non-spatial effects, such as music, narration and some types of ambient sound. Multi-channel audio will be played directly through to the audio device, if possible; otherwise it will be downmixed as determined appropriate by the application. - spatial: The sound will play with some effects due to its position and velocity in 3D space. Mono sounds are recommended for spatial audio as multiple channels will be effectively playing from the same point in 3D space. """) uniform token enableDoppler = "default" (allowedTokens = ["default", "on", "off"] displayName = "Enable Doppler Effects" doc = """ choose whether the Doppler effect is applied to this sound. The Doppler effect alters the pitch of a sound based on its relative velocity to the listener. When the listener and a sound are moving toward each other, the sound will be played at a greater speed, and when they are moving away from each other, the sound will be played at a lower speed. Enabling the Doppler effect will increase the CPU cost of audio processing. This value is ignored if auralMode is set to "nonSpatial" This must be one of the following values: - default: The state of this is inherited from the active Listener in the scene. - on: The Doppler effect is applied. - off: The Doppler effect is not applied. """) uniform token enableDistanceDelay = "default" (allowedTokens = ["default", "on", "off"] displayName = "Enable Distance Delay" doc = """ Choose whether a distance delay effect is applied to this sound. The distance delay will cause the start time of the sound to be delayed relative to the distance between the sound and the listener. The delay is calculated based on the current speed of sound; for example, if the listener and sound are separated by 340 meters and the speed of sound is 340m/s, the delay will be 1 second. Enabling this will increase the CPU cost of audio processing. This value is ignored if auralMode is set to "nonSpatial" This must be one of the following values: - default: The state of this is inherited from the active Listener in the scene. - on: The distance delay effect is applied. - off: The distance delay effect is not applied. """) uniform token enableInterauralDelay = "default" (allowedTokens = ["default", "on", "off"] displayName = "Enable Interaural Delay" doc = """ Choose whether an interaural delay effect is applied to this sound. This causes the sound to arrive slightly later on one ear than the other, based on the sound's angle relative to the listener's front. This simulates the real world effect of the delay between the right and left ear when audio arrives at an angle to the head, which should improve the quality of the directional audio effect. Omniverse Kit only will apply this effect on mono spatial sounds when the speaker configuration is stereo. Note that this effect may cause slight audio distortion when an emitter's relative angle to the listener changes; this is only obvious when playing pure sine waves while the emitter's relative angle to the listener changes rapidly. Enabling this will increase the CPU cost of audio processing. This value is ignored if auralMode is set to "nonSpatial" This must be one of the following values: - default: The state of this is inherited from the active Listener in the scene. - on: The interaural delay effect is applied. - off: The interaural delay effect is not applied. """) uniform int loopCount = 0 ( displayName = "Loop Count" doc = """ The number of additional loops of this sound that will be played. If this is 0, the sound will play once; If this is 1, the sound will play twice; etc. Negative values will cause the sound to loop infinitely. """) uniform double mediaOffsetStart = 0.0 ( displayName = "Media Offset Start" doc = """ The time offset to start playing the sound asset at. This is a time value measured in seconds. For example, setting this to 0.2 will skip the first 0.2 seconds of the sound asset being played. Setting this to a value less than 0 or greater than the length of the sound asset will cause the sound to not be played. Omniverse Kit will automatically apply a 20ms fade-in effect on the sound if this value is not set to 0, so that a pop will not occur if the offset does not correspond to a zero-crossing in the sound asset. """) uniform double mediaOffsetEnd = 0.0 ( displayName = "Media Offset End" doc = """ The time offset in the sound asset that the sound will finish playing at. This is a time value measured in seconds. The time value is relative to the start of the asset. For example, a sound with mediaOffset 2 and mediaOffsetEnd 12 will play for 10 seconds. This value is ignored if it is less than or equal to mediaOffset. """) uniform timecode startTime = 0.0 ( displayName = "Start Time Index" doc = """ The time in the animation timeline when this sound will be played. If this is negative, the sound will never be played (this functionality may be useful for sounds intended to be triggered from scripts). This can be converted to seconds by dividing by the timeCodesPerSecond value of the stage that this is within. Layer offsets will be applied because this is a timecode. """) uniform timecode endTime = 0.0 ( displayName = "End Time Index" doc = """ The time in the animation timeline when this sound will end. If this value is less than or equal to startTime, then the sound will play until it naturally ends (or the animation timeline ends). timeScale has no effect on the end time, since it's relative to the timeline. This can be converted to seconds by dividing by the timeCodesPerSecond value of the stage that this is within. Layer offsets will be applied because this is a timecode. """) uniform int priority = 0 ( displayName = "Relative Playback Priority" doc = """ The priority of the sound. In Omniverse Kit, there is a limit on the number of sounds that can be played simultaneously. In a very busy scene which exceeds this number of sounds, some sounds will stop being played to the audio device (this is referred to as the sound being virtual). Priority can be used to specify that some sounds are not very important so they should be made virtual first and that some sounds are important so they should be made virtual last. A larger value corresponds to a higher priority and a lesser value corresponds to a lower priority; negative values are allowed. Priority values have no meaning by themselves; their only usage is to specify their priority relative to other sounds. For example, 2 sounds with 0 priority and 1 sound with 1 priority will function the same as 2 sounds with -100 priority and 1 sound with 100 priority. """) uniform token attenuationType = "inverse" (allowedTokens = ["inverse", "linear", "linearSquare"] displayName = "Attenuation Type" doc = """ The curve that the distance attenuation will follow. This is only used when auralMode is 'spatial'. These are the curves that the tokens calculate: - inverse: (attenuationRange.y * K) / (1.0 + distance - attenuationRange.x) - linear: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x) - linearSquare: (distance - attenuationRange.x) / (attenuationRange.y - attenuationRange.x)^2 The inverse rolloff curve is implemented as a polynomial approximation of the equation above to ensure that volume is attenuated to 0.0 when distance reaches attenuationRange.y. The constant K in the inverse calculation exists to specify that attenuationRange.y is not the 0.5 volume point on the curve. """) double2 attenuationRange = (0.0, 10000.0) ( displayName = "Attenuation Range" doc = """ The range at which distance attenuation will occur. This is only enabled when auralMode is 'spatial'. When the listener's distance from the sound is less than attenuationRange.x, the sound will be played at full volume. When the listener's distance from the sound is between attenuationRange.x and attenuationRange.y, the sound will ramp down to 0.0 volume as the distance grows. When the listener's distance from the sound is past attenuationRange.y, the sound will be silent. attenuationRange.y must be greater than attenuationRange.x. """) double gain = 1.0 ( displayName = "Gain" doc = """ The volume of the sound. This is a unitless linear volume scale where 0.0 is silence and 1.0 is full volume. Setting gain above 1.0 will amplify the signal but potentially result in some distortion during playback. Negative volumes will invert the signal. """) double timeScale = 1.0 ( displayName = "Time Scale" doc = """ The rate at which the sound is played relative to realtime. For example, setting this to 0.5 will play the sound at half speed and setting this to 2.0 will play the sound at double speed. Altering the playback speed of a sound will affect the pitch of the sound. This does not affect the timing of the distance delay effect. The limits of this setting under Omniverse Kit are [1/1024, 1024]. Omniverse Kit does not perform any form of antialiasing filter when applying this effect, so increasing this setting excessively will cause aliasing in the resulting audio. """) double2 coneAngles = (180.0, 180.0) ( displayName = "Cone Angles" doc = """ The angles used for the directional cone of a spatial sound's audio. This is used to simulate sound sources that are directional, so the listener will hear the sound normally when standing in front of the sound source, but the listener will hear a quieter and muffled version of the sound when standing behind or at a wide angle from the sound source. This is only enabled when auralMode is 'spatial'. A cone defines the angle from the forward vector where the sound's volume begins to attenuate. The cone has two angles: the inner angle (coneAngles.x) and the outer angle (coneAngles.y). The inner angle must be less than or equal to the outer angle. An omnidirectional emitter should have these set to (180.0, 180.0). When the listener is within the inner angle of this cone, the sound's volume will be at coneVolumes.x and the sound's low pass filter effect will be at coneLowPassFilter.x. Between the inner angle and the outer angle of the cone, the volume will ramp down to coneVolumes.y and the sound's low pass filter effect will be ramp down to coneLowPassFilter.y. When the listener is past the outer angle of the cone, the volume will be at coneVolumes.y and the sound's low pass filter effect will be at coneLowPassFilter.y. The cone angles are specified as degrees from the forward vector of the sound; these are clamped to the range of [0, 180]. """) double2 coneVolumes = (1.0, 0.0) ( displayName = "Cone Volumes" doc = """ The volume in the outer region of the cone. This is a volume modifier for cone calculations. This multiplies by the gain. coneVolumes.x is the volume for the inner cone. coneVolumes.y is the volume for the outer cone. """) double2 coneLowPassFilter = (0.0, 0.0) ( displayName = "Cone Lowpass Filter" doc = """ The low pass filter effect that is applied onto the cone. This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering). An increase in low pass filtering will result in the sound being more muffled sounding, which can simulate the effect of hearing the sound mostly through reverberation. coneLowPassFilter.x is the low pass filter value for the inner cone. coneLowPassFilter.y is the low pass filter value for the outer cone. """) } class Sound "Sound" ( inherits = </OmniSound> doc = """Deprecated. Use OmniSound instead.""" ) { } class OmniListener "OmniListener" ( inherits = </Xformable> doc = """ The Listener primitive defines the parameters for audio played to the audio device by the application viewing the USD scene. The most important role for the Listener is to have a position in 3D space so that the spatial effects can be applied correctly. This is separate from the camera because in some cases the camera does not play this role suitably. An example of a case where a listener detached from the camera is ideal would be a third person game; attaching the listener to the camera would cause undesirable effects like applying a doppler shift when the camera zooms in and attenuation of sounds that are near the character being played. """ ) { uniform bool orientationFromView = true ( displayName = "Enable Orientation From View" doc = """ This specifies whether the Listener's orientation should be taken from the current camera, rather than the xform of this Listener. It may be desirable to have the spatial audio listener's position separate from the camera (ie: on a third person character or object), but have the orientation still come from the camera; having the orientation also attached to the world object may be disorienting to the user/viewer. An extreme example where this would be needed is a third person game where the player character is a marble that rolls around. """) double2 coneAngles = (180.0, 180.0) ( displayName = "Cone Angles" doc = """ The angles used for the directional cone of a listener's hearing. A cone defines the angle from the forward vector where the listener's volume begins to attenuate. The cone has two angles: the inner angle (coneAngles.x) and the outer angle (coneAngles.y). The inner angle must be less than or equal to the outer angle. An omnidirectional listener should have these set to (180.0, 180.0). When the listener is within the inner angle of this cone, the listener's volume will be at coneVolumes.x and the listener's low pass filter effect will be at coneLowPassFilter.x. Between the inner angle and the outer angle of the cone, the volume will ramp down to coneVolume.y and the listener's low pass filter effect will be ramp down to coneLowPassFilter.y. When the listener is past the outer angle of the cone, the volume will be at coneVolume.y and the listener's low pass filter effect will be at coneLowPassFilter.y. The cone angles are specified as degrees from the forward vector of the listener; these are clamped to the range of [0, 180]. """) double2 coneVolumes = (1.0, 0.0) ( displayName = "Cone Volumes" doc = """ The volume in the regions of the cone. coneVolumes.x is the volume for the inner cone. coneVolumes.y is the volume for the outer cone. """) double2 coneLowPassFilter = (0.0, 0.0) ( displayName = "Cone Lowpass Filter" doc = """ The low pass filter effect that is applied onto the cone. This is a unitless range from 0.0 (disabled) to 1.0 (maximum filtering). An increase in low pass filtering will result in the audio being more muffled sounding, which can simulate the effect of hearing sounds mostly through reverberation. """) } class Listener "Listener" ( inherits = </OmniListener> doc = """Deprecated. Use OmniListener instead.""" ) { }
omniverse-code/kit/exts/omni.rtx.ujitsoprocessors/omni/rtx/ujitsoprocessors/_ujitsoprocessors.pyi
"""pybind11 omni.rtx.ujitsoprocessors bindings""" from __future__ import annotations import omni.rtx.ujitsoprocessors._ujitsoprocessors import typing __all__ = [ "IUJITSOProcessors", "acquire_ujitsoprocessors_interface", "release_ujitsoprocessors_interface" ] class IUJITSOProcessors(): def runHTTPJobs(self, arg0: str, arg1: str) -> str: ... pass def acquire_ujitsoprocessors_interface(plugin_name: str = None, library_path: str = None) -> IUJITSOProcessors: pass def release_ujitsoprocessors_interface(arg0: IUJITSOProcessors) -> None: pass
omniverse-code/kit/exts/omni.rtx.ujitsoprocessors/omni/rtx/ujitsoprocessors/__init__.py
from ._ujitsoprocessors import *
omniverse-code/kit/exts/omni.rtx.ujitsoprocessors/omni/rtx/ujitsoprocessors/tests/__init__.py
from .test_ujitsoprocessors import *
omniverse-code/kit/exts/omni.rtx.ujitsoprocessors/omni/rtx/ujitsoprocessors/tests/test_ujitsoprocessors.py
## Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved. ## ## NVIDIA CORPORATION and its licensors retain all intellectual property ## and proprietary rights in and to this software, related documentation ## and any modifications thereto. Any use, reproduction, disclosure or ## distribution of this software and related documentation without an express ## license agreement from NVIDIA CORPORATION is strictly prohibited. ## import omni.kit.app from omni.kit.test import AsyncTestCase import pathlib import omni.rtx.ujitsoprocessors try: import omni.kit.test TestClass = omni.kit.test.AsyncTestCase TEST_DIR = str(pathlib.Path(__file__).parent.parent.parent.parent.parent.parent.parent) except ImportError: from . import TestRtScenegraph TestClass = TestRtScenegraph TEST_DIR = "." class TestConverter(AsyncTestCase): async def setUp(self): self._iface = omni.rtx.ujitsoprocessors.acquire_ujitsoprocessors_interface() async def tearDown(self): pass async def test_001_startstop(self): print(self._iface.runHTTPJobs("", ""));
omniverse-code/kit/exts/omni.kit.window.privacy/omni/kit/window/privacy/__init__.py
from .privacy_window import *
omniverse-code/kit/exts/omni.kit.window.privacy/omni/kit/window/privacy/privacy_window.py
import toml import os import asyncio import weakref import carb import carb.settings import carb.tokens import omni.client import omni.kit.app import omni.kit.ui import omni.ext from omni import ui WINDOW_NAME = "About" class PrivacyWindow: def __init__(self, privacy_file=None): if not privacy_file: privacy_file = carb.tokens.get_tokens_interface().resolve("${omni_config}/privacy.toml") privacy_data = toml.load(privacy_file) if os.path.exists(privacy_file) else {} # NVIDIA Employee? privacy_dict = privacy_data.get("privacy", {}) userId = privacy_dict.get("userId", None) if not userId or not userId.endswith("@nvidia.com"): return # Already set? extraDiagnosticDataOptIn = privacy_dict.get("extraDiagnosticDataOptIn", None) if extraDiagnosticDataOptIn: return self._window = ui.Window( "Privacy", flags=ui.WINDOW_FLAGS_NO_TITLE_BAR | ui.WINDOW_FLAGS_NO_RESIZE | ui.WINDOW_FLAGS_NO_MOVE, auto_resize=True, ) def on_ok_clicked(): allow_for_public_build = self._cb.model.as_bool carb.log_info(f"writing privacy file: '{privacy_file}'. allow_for_public_build: {allow_for_public_build}") privacy_data.setdefault("privacy", {})["extraDiagnosticDataOptIn"] = ( "externalBuilds" if allow_for_public_build else "internalBuilds" ) with open(privacy_file, "w") as f: toml.dump(privacy_data, f) self._window.visible = False text = """ By accessing or using Omniverse Beta, you agree to share usage and performance data as well as diagnostic data, including crash data. This will help us to optimize our features, prioritize development, and make positive changes for future development. As an NVIDIA employee, your email address will be associated with any collected diagnostic data from internal builds to help us improve Omniverse. Below, you can optionally choose to associate your email address with any collected diagnostic data from publicly available builds. Please contact us at [email protected] for any questions. """ with self._window.frame: with ui.ZStack(width=0, height=0): with ui.VStack(style={"margin": 5}, height=0): ui.Label(text, width=600, style={"font_size": 18}, word_wrap=True) ui.Separator() with ui.HStack(height=0): self._cb = ui.CheckBox(width=0, height=0) self._cb.model.set_value(True) ui.Label( "Associate my @nvidia.com email address with diagnostic data from publicly available builds.'", value=True, style={"font_size": 16}, ) with ui.HStack(height=0): ui.Spacer() ui.Button("OK", width=100, clicked_fn=lambda: on_ok_clicked()) ui.Spacer() self._window.visible = True self.on_ok_clicked = on_ok_clicked async def _create_window(ext_weak): # Wait for few frames to get everything in working state first for _ in range(5): await omni.kit.app.get_app().next_update_async() if ext_weak(): ext_weak()._window = PrivacyWindow() class Extension(omni.ext.IExt): def on_startup(self, ext_id): asyncio.ensure_future(_create_window(weakref.ref(self))) def on_shutdown(self): self._window = None
omniverse-code/kit/exts/omni.kit.window.privacy/omni/kit/window/privacy/tests/__init__.py
from .test_window_privacy import *
omniverse-code/kit/exts/omni.kit.window.privacy/omni/kit/window/privacy/tests/test_window_privacy.py
import tempfile import toml import omni.kit.test import omni.kit.window.privacy class TestPrivacyWindow(omni.kit.test.AsyncTestCase): async def test_privacy(self): with tempfile.TemporaryDirectory() as tmp_dir: privacy_file = f"{tmp_dir}/privacy.toml" def write_data(data): with open(privacy_file, "w") as f: toml.dump(data, f) # NVIDIA User, first time write_data({"privacy": {"userId": "[email protected]"}}) w = omni.kit.window.privacy.PrivacyWindow(privacy_file) self.assertIsNotNone(w._window) w.on_ok_clicked() data = toml.load(privacy_file) self.assertEqual(data["privacy"]["extraDiagnosticDataOptIn"], "externalBuilds") # NVIDIA User, second time w = omni.kit.window.privacy.PrivacyWindow(privacy_file) self.assertFalse(hasattr(w, "_window")) # NVIDIA User, first time, checkbox off write_data({"privacy": {"userId": "[email protected]"}}) w = omni.kit.window.privacy.PrivacyWindow(privacy_file) self.assertIsNotNone(w._window) w._cb.model.set_value(False) w.on_ok_clicked() data = toml.load(privacy_file) self.assertEqual(data["privacy"]["extraDiagnosticDataOptIn"], "internalBuilds") # Non NVIDIA User write_data({"privacy": {"userId": "[email protected]"}}) w = omni.kit.window.privacy.PrivacyWindow(privacy_file) self.assertFalse(hasattr(w, "_window"))
omniverse-code/kit/exts/omni.kit.window.privacy/docs/index.rst
omni.kit.window.privacy ########################### .. toctree:: :maxdepth: 1 CHANGELOG
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/ext_utils.py
from __future__ import annotations from collections import defaultdict from contextlib import suppress from types import ModuleType from typing import Dict, Tuple import fnmatch import sys import unittest import carb import omni.kit.app from .unittests import get_tests_to_remove_from_modules # Type for collecting module information corresponding to extensions ModuleMap_t = Dict[str, Tuple[str, bool]] # ============================================================================================================== def get_module_to_extension_map() -> ModuleMap_t: """Returns a dictionary mapping the names of Python modules in an extension to (OwningExtension, EnabledState) e.g. for this extension it would contain {"omni.kit.test": (["omni.kit.test", True])} It will be expanded to include the implicit test modules added by the test management. """ module_map = {} manager = omni.kit.app.get_app().get_extension_manager() for extension in manager.fetch_extension_summaries(): ext_id = None enabled = False with suppress(KeyError): if extension["enabled_version"]["enabled"]: ext_id = extension["enabled_version"]["id"] enabled = True if ext_id is None: try: ext_id = extension["latest_version"]["id"] except KeyError: # Silently skip any extensions that do not have enough information to identify them continue ext_dict = manager.get_extension_dict(ext_id) # Look for the defined Python modules, skipping processing of any extensions that have no Python modules try: module_list = ext_dict["python"]["module"] except (KeyError, TypeError): continue # Walk through the list of all modules independently as there is no guarantee they are related. for module in module_list: # Some modules do not have names, only paths - just ignore them with suppress(KeyError): module_map[module["name"]] = (ext_id, enabled) # Add the two test modules that are explicitly added by the testing system if not module["name"].endswith(".tests"): module_map[module["name"] + ".tests"] = (ext_id, enabled) module_map[module["name"] + ".ogn.tests"] = (ext_id, enabled) return module_map # ============================================================================================================== def extension_from_test_name(test_name: str, module_map: ModuleMap_t) -> tuple[str, bool, str, bool] | None: """Given a test name, return None if the extension couldn't be inferred from the name, otherwise a tuple containing the name of the owning extension, a boolean indicating if it is currently enabled, a string indicating in which Python module the test was found, and a boolean indicating if that module is currently imported, or None if it was not. Args: test_name: Full name of the test to look up module_map: Module to extension mapping. Passed in for sharing as it's expensive to compute. The algorithm walks backwards from the full name to find the maximum-length Python import module known to be part of an extension that is part of the test name. It does this because the exact import paths can be nested or not nested. e.g. omni.kit.window.tests is not part of omni.kit.window Extracting the extension from the test name is a little tricky but all of the information is available. Here is how it attempts to decompose a sample test name .. code-block:: text omni.graph.nodes.tests.tests_for_samples.TestsForSamples.test_for_sample +--------------+ +---+ +---------------+ +-------------+ +-------------+ Import path | | | | Testing subdirectory | | | | | Test File Test Class Test Name Each extension has a list of import paths of Python modules it explicitly defines, and in addition it will add implicit imports for .tests and .ogn.tests submodules that are not explicitly listed in the extension dictionary. With this structure the user could have done any of these imports: .. code-block:: python import omni.graph.nodes import omni.graph.nodes.tests import omni.graph.nodes.test_for_samples Each nested one may or may not have been exposed by the parent so it is important to do a greedy match. This is how the process of decoding works for this test: .. code-block:: text Split the test name on "." ["omni", "graph", "nodes", "tests", "tests_for_samples", "TestsForSamples", "test_for_sample"] Starting at the entire list, recursively remove one element until a match in the module dictionary is found Fail: "omni.graph.nodes.tests.tests_for_samples.TestsForSamples.test_for_sample" Fail: "omni.graph.nodes.tests.tests_for_samples.TestsForSamples" Fail: "omni.graph.nodes.tests.tests_for_samples" Succeed: "omni.graph.nodes.tests" If no success, of if sys.modules does not contain the found module: Return the extension id, enabled state, and None for the module Else: Check the module recursively for exposed attributes with the rest of the names. In this example: file_object = getattr(module, "tests_for_samples") class_object = getattr(file_object, "TestsForSamples") test_object = getattr(class_object, "test_for_sample") If test_object is valid: Return the extension id, enabled state, and the found module Else: Return the extension id, enabled state, and None for the module """ class_elements = test_name.split(".") for el in range(len(class_elements), 0, -1): check_module = ".".join(class_elements[:el]) # If the extension owned the module then process it, otherwise continue up to the parent element try: (ext_id, is_enabled) = module_map[check_module] except KeyError: continue # The module was found in an extension definition but not imported into the Python namespace yet try: module = sys.modules[check_module] except KeyError: return (ext_id, is_enabled, check_module, False) # This checks to make sure that the actual test is registered in the module that was found. # e.g. if the full name is omni.graph.nodes.tests.TestStuff.test_stuff then we would expect to find # a module named "omni.graph.nodes.tests" that contains "TestStuff", and the object "TestStuff" will # in turn contain "test_stuff". sub_module = module for elem in class_elements[el:]: sub_module = getattr(sub_module, elem, None) if sub_module is None: break return (ext_id, is_enabled, module, sub_module is not None) return None # ============================================================================================================== def test_only_extension_dependencies(ext_id: str) -> set[str]: """Returns a set of extensions with test-only dependencies on the given one. Not currently used as dynamically enabling random extensions is not stable enough to use here yet. """ test_only_extensions = set() # Set of extensions that are enabled only in testing mode manager = omni.kit.app.get_app().get_extension_manager() ext_dict = manager.get_extension_dict(ext_id) # Find the test-only dependencies that may also not be enabled yet if ext_dict and "test" in ext_dict: for test_info in ext_dict["test"]: try: new_extensions = test_info["dependencies"] except (KeyError, TypeError): new_extensions = [] for new_extension in new_extensions: with suppress(KeyError): test_only_extensions.add(new_extension) return test_only_extensions # ============================================================================================================== def decompose_test_list( test_list: list[str] ) -> tuple[list[unittest.TestCase], set[str], set[str], defaultdict[str, set[str]]]: """Read in the given log file and return the list of tests that were run, in the order in which they were run. TODO: Move this outside the core omni.kit.test area as it requires external knowledge If any modules containing the tests in the log are not currently available then they are reported for the user to intervene and most likely enable the owning extensions. Args: test_list: List of tests to decompose and find modules and extensions for Returns: Tuple of (tests, not_found, extensions, modules) gleaned from the log file tests: List of unittest.TestCase for all tests named in the log file, in the order they appeared not_found: Name of tests whose location could not be determined, or that did not exist extensions: Name of extensions containing modules that look like they contain tests from "not_found" modules: Map of extension to list of modules where the extension is enabled but the module potentially containing the tests from "not_found" has not been imported. """ module_map = get_module_to_extension_map() not_found = set() # The set of full names of tests whose module was not found # Map of enabled extensions to modules in them that contain tests in the log but which are not imported modules_not_imported = defaultdict(set) test_names = [] modules_found = set() # Modules matching the tests extensions_to_enable = set() # Walk the test list and parse out all of the test run information for test_name in test_list: test_info = extension_from_test_name(test_name, module_map) if test_info is None: not_found.add(test_name) else: (ext_id, ext_enabled, module, module_imported) = test_info if ext_enabled: if module is None: not_found.add(test_name) elif not module_imported: modules_not_imported[ext_id].add(module) else: test_names.append(test_name) modules_found.add(module) else: extensions_to_enable.add(ext_id) # Carefully find all of the desired test cases, preserving the order in which they were encountered since that is # a key feature of reading tests from a log test_mapping: dict[str, unittest.TestCase] = {} # Mapping of test name onto discovered test case for running for module in modules_found: # Find all of the individual tests in the TestCase classes and add those that match any of the disabled patterns # Uses get_tests_to_remove_from_modules because it considers possible tests and ogn.tests submodules test_cases = get_tests_to_remove_from_modules([module]) for test_case in test_cases: if test_case.id() in test_names: test_mapping[test_case.id()] = test_case tests: list[unittest.TestCase] = [] for test_name in test_names: if test_name in test_mapping: tests.append(test_mapping[test_name]) return (tests, not_found, extensions_to_enable, modules_not_imported) # ============================================================================================================== def find_disabled_tests() -> list[unittest.TestCase]: """Scan the existing tests and the extension.toml to find all tests that are currently disabled""" manager = omni.kit.app.get_app().get_extension_manager() # Find the per-extension list of (python_modules, disabled_patterns). def __get_disabled_patterns() -> list[tuple[list[ModuleType], list[str]]]: disabled_patterns = [] summaries = manager.fetch_extension_summaries() for extension in summaries: try: if not extension["enabled_version"]["enabled"]: continue except KeyError: carb.log_info(f"Could not find enabled state of extension {extension}") continue ext_id = extension["enabled_version"]["id"] ext_dict = manager.get_extension_dict(ext_id) # Look for the defined Python modules modules = [] with suppress(KeyError, TypeError): modules += [sys.modules[module_info["name"]] for module_info in ext_dict["python"]["module"]] # Look for unreliable tests regex_list = [] with suppress(KeyError, TypeError): test_info = ext_dict["test"] for test_details in test_info or []: with suppress(KeyError): regex_list += test_details["pythonTests"]["unreliable"] if regex_list: disabled_patterns.append((modules, regex_list)) return disabled_patterns # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - def _match(to_match: str, pattern: str) -> bool: """Match that supports wildcards and '!' to invert it""" should_match = True if pattern.startswith("!"): pattern = pattern[1:] should_match = False return should_match == fnmatch.fnmatch(to_match, pattern) tests = [] for modules, regex_list in __get_disabled_patterns(): # Find all of the individual tests in the TestCase classes and add those that match any of the disabled patterns # Uses get_tests_to_remove_from_modules because it considers possible tests and ogn.tests submodules test_cases = get_tests_to_remove_from_modules(modules) for test_case in test_cases: for regex in regex_list: if _match(test_case.id(), regex): tests.append(test_case) break return tests
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/ext_test_generator.py
# WARNING: This file/interface is likely to be removed after transition from Legacy Viewport is complete. # Seee merge_requests/17255 __all__ = ["get_tests_to_run"] # Rewrite a Legacy Viewport test to launch with Viewport backend only def _get_viewport_next_test_config(test): # Check for flag to run test only on legacy Viewport if test.config.get("viewport_legacy_only", False): return None # Get the test dependencies test_dependencies = test.config.get("dependencies", tuple()) # Check if legacy Viewport is in the test dependency list if "omni.kit.window.viewport" not in test_dependencies: return None # Deep copy the config dependencies test_dependencies = list(test_dependencies) # Re-write any 'omni.kit.window.viewport' dependency as 'omni.kit.viewport.window' for i in range(len(test_dependencies)): cur_dep = test_dependencies[i] if cur_dep == "omni.kit.window.viewport": test_dependencies[i] = "omni.kit.viewport.window" # Shallow copy of the config test_config = test.config.copy() # set the config name test_config["name"] = "viewport_next" # Replace the dependencies test_config["dependencies"] = test_dependencies # Add any additional args by deep copying the arg list test_args = list(test.config.get("args", tuple())) test_args.append("--/exts/omni.kit.viewport.window/startup/windowName=Viewport") # Replace the args test_config["args"] = test_args # TODO: Error if legacy Viewport somehow still inserting itself into the test run # Return the new config return test_config def get_tests_to_run(test, ExtTest, run_context, is_parallel_run: bool, valid: bool): """For a test gather all unique test-runs that should be invoked""" # First run the additional tests, followed by the original / base-case # No need to run additional tests of the original is not valid if valid: # Currently the only usage of this method is to have legacy Viewport test run against new Viewport additional_tests = { 'viewport_next': _get_viewport_next_test_config } for test_name, get_config in additional_tests.items(): new_config = get_config(test) if new_config: yield ExtTest( ext_id=test.ext_id, ext_info=test.ext_info, test_config=new_config, test_id=f"{test.test_id}-{test_name}", is_parallel_run=is_parallel_run, run_context=run_context, test_app=test.test_app, valid=valid ) # Run the original / base-case yield test
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/teamcity.py
import os import sys import time import pathlib from functools import lru_cache _quote = {"'": "|'", "|": "||", "\n": "|n", "\r": "|r", "[": "|[", "]": "|]"} def escape_value(value): return "".join(_quote.get(x, x) for x in value) @lru_cache() def is_running_in_teamcity(): return bool(os.getenv("TEAMCITY_VERSION")) @lru_cache() def get_teamcity_build_url() -> str: teamcity_url = os.getenv("TEAMCITY_BUILD_URL") if teamcity_url and not teamcity_url.startswith("http"): teamcity_url = "https://" + teamcity_url return teamcity_url or "" # TeamCity Service messages documentation # https://www.jetbrains.com/help/teamcity/service-messages.html def teamcity_publish_artifact(artifact_path: str, stream=sys.stdout): if not is_running_in_teamcity(): return tc_message = f"##teamcity[publishArtifacts '{escape_value(artifact_path)}']\n" stream.write(tc_message) stream.flush() def teamcity_log_fail(teamCityName, msg, stream=sys.stdout): if not is_running_in_teamcity(): return tc_message = f"##teamcity[testFailed name='{teamCityName}' message='{teamCityName} failed. Reason {msg}. Check artifacts for logs']\n" stream.write(tc_message) stream.flush() def teamcity_test_retry_support(enabled: bool, stream=sys.stdout): """ With this option enabled, the successful run of a test will mute its previous failure, which means that TeamCity will mute a test if it fails and then succeeds within the same build. Such tests will not affect the build status. """ if not is_running_in_teamcity(): return retry_support = str(bool(enabled)).lower() tc_message = f"##teamcity[testRetrySupport enabled='{retry_support}']\n" stream.write(tc_message) stream.flush() def teamcity_show_image(label: str, image_path: str, stream=sys.stdout): if not is_running_in_teamcity(): return tc_message = f"##teamcity[testMetadata type='image' name='{label}' value='{image_path}']\n" stream.write(tc_message) stream.flush() def teamcity_publish_image_artifact(src_path: str, dest_path: str, inline_image_label: str = None, stream=sys.stdout): if not is_running_in_teamcity(): return tc_message = f"##teamcity[publishArtifacts '{src_path} => {dest_path}']\n" stream.write(tc_message) if inline_image_label: result_path = str(pathlib.PurePath(dest_path).joinpath(os.path.basename(src_path)).as_posix()) teamcity_show_image(inline_image_label, result_path) stream.flush() def teamcity_message(message_name, stream=sys.stdout, **properties): if not is_running_in_teamcity(): return current_time = time.time() (current_time_int, current_time_fraction) = divmod(current_time, 1) current_time_struct = time.localtime(current_time_int) timestamp = time.strftime("%Y-%m-%dT%H:%M:%S.", current_time_struct) + "%03d" % (int(current_time_fraction * 1000)) message = "##teamcity[%s timestamp='%s'" % (message_name, timestamp) for k in sorted(properties.keys()): value = properties[k] if value is None: continue message += f" {k}='{escape_value(str(value))}'" message += "]\n" # Python may buffer it for a long time, flushing helps to see real-time result stream.write(message) stream.flush() # Based on metadata message for TC: # https://www.jetbrains.com/help/teamcity/reporting-test-metadata.html#Reporting+Additional+Test+Data def teamcity_metadata_message(metadata_value, stream=sys.stdout, metadata_name="", metadata_testname=""): teamcity_message( "testMetadata", stream=stream, testName=metadata_testname, name=metadata_name, value=metadata_value, ) def teamcity_status(text, status: str = "success", stream=sys.stdout): teamcity_message("buildStatus", stream=stream, text=text, status=status)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/repo_test_context.py
import json import logging import os logger = logging.getLogger(__name__) class RepoTestContext: # pragma: no cover def __init__(self): self.context = None repo_test_context_file = os.environ.get("REPO_TEST_CONTEXT", None) if repo_test_context_file and os.path.exists(repo_test_context_file): print("Found repo test context file:", repo_test_context_file) with open(repo_test_context_file) as f: self.context = json.load(f) logger.info("repo test context:", self.context) def get(self): return self.context
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/nvdf.py
import itertools import json import logging import os import re import sys import time import urllib.error import urllib.request from collections import defaultdict from functools import lru_cache from pathlib import Path from typing import Dict, List, Tuple import carb.settings import omni.kit.app from .gitlab import get_gitlab_build_url, is_running_in_gitlab from .teamcity import get_teamcity_build_url, is_running_in_teamcity from .utils import call_git, get_global_test_output_path, is_running_on_ci logger = logging.getLogger(__name__) @lru_cache() def get_nvdf_report_filepath() -> str: return os.path.join(get_global_test_output_path(), "nvdf_data.json") def _partition(pred, iterable): """Use a predicate to partition entries into false entries and true entries""" t1, t2 = itertools.tee(iterable) return itertools.filterfalse(pred, t1), filter(pred, t2) def _get_json_data(report_data: List[Dict[str, str]], app_info: dict, ci_info: dict) -> Dict: """Transform report_data into json data Input: {"event": "start", "test_id": "omni.kit.viewport", "ext_name": "omni.kit.viewport", "start_time": 1664831914.002093} {"event": "stop", "test_id": "omni.kit.viewport", "ext_name": "omni.kit.viewport", "success": true, "skipped": false, "stop_time": 1664831927.1145973, "duration": 13.113} ... Output: { "omni.kit.viewport+omni.kit.viewport": { "app": { ... }, "teamcity": { ... }, "test": { "b_success": false, "d_duration": 1.185, "s_ext_name": "omni.kit.viewport", "s_name": "omni.kit.viewport", "s_type": "exttest", "ts_start_time": 1664893802530, "ts_stop_time": 1664893803715 "result": { ... }, }, }, } """ def _aggregate_json_data(data: dict, config=""): test_id = data["test_id"] + config # increment retries count - that info is not available in the report_data, start count at 0 (-1 + 1 = 0) # by keeping all passed results we can know if all retries failed and set consecutive_failure to true if data["event"] == "start": retries = test_retries.get(test_id, -1) + 1 test_retries[test_id] = retries data["retries"] = retries else: retries = test_retries.get(test_id, 0) if data["event"] == "stop": test_results[test_id].append(data.get("passed", False)) test_id += f"{CONCAT_CHAR}{retries}" test_data = json_data.get(test_id, {}).get("test", {}) test_data.update(data) # special case for time, convert it to nvdf ts_ format right away if "start_time" in test_data: test_data["ts_start_time"] = int(test_data.pop("start_time") * 1000) if "stop_time" in test_data: test_data["ts_stop_time"] = int(test_data.pop("stop_time") * 1000) # event is discarded if "event" in test_data: test_data.pop("event") # init passed to false if needed, it can be missing if a test crashes (no stop event) if "passed" not in test_data: test_data["passed"] = False json_data.update({test_id: {"app": app_info, "ci": ci_info, "test": test_data}}) CONCAT_CHAR = "|" MIN_CONSECUTIVE_FAILURES = 3 # this value is in sync with repo.toml testExtMaxTestRunCount=3 test_retries: Dict[str, int] = {} test_results = defaultdict(list) exttest, unittest = _partition(lambda data: data["test_type"] == "unittest", report_data) # add exttests - group by name + retry count json_data: Dict[str, str] = {} for data in exttest: _aggregate_json_data(data) # second loop to only keep exttest with results for key, data in list(json_data.items()): if not data.get("test", {}).get("result"): del json_data[key] # add all unittests - group by name + config + retry count for data in unittest: config = data["ext_test_id"].rsplit(CONCAT_CHAR, maxsplit=1) config = f"{CONCAT_CHAR}{config[1]}" if len(config) > 1 else "" _aggregate_json_data(data, config) # second loop to tag all consecutive failures (when all results are false and equal or above the retry count) for key, data in json_data.items(): results = test_results.get(key.rsplit(CONCAT_CHAR, maxsplit=1)[0]) all_failures = results and not any(results) and len(results) >= MIN_CONSECUTIVE_FAILURES - 1 if all_failures: data["test"]["consecutive_failure"] = all_failures return json_data def _can_post_to_nvdf() -> bool: if omni.kit.app.get_app().is_app_external(): logger.info("nvdf is disabled for external build") return False if not is_running_on_ci(): logger.info("nvdf posting only enabled on CI") return False return True def post_to_nvdf(report_data: List[Dict[str, str]]): if not report_data or not _can_post_to_nvdf(): return try: app_info = get_app_info() ci_info = _get_ci_info() json_data = _get_json_data(report_data, app_info, ci_info) with open(get_nvdf_report_filepath(), "w") as f: json.dump(json_data, f, skipkeys=True, sort_keys=True, indent=4) # convert json_data to nvdf form and add to list json_array = [] for data in json_data.values(): data["ts_created"] = int(time.time() * 1000) json_array.append(to_nvdf_form(data)) # post all results in one request project = "omniverse-kit-tests-results-v2" json_str = json.dumps(json_array, skipkeys=True) _post_json(project, json_str) # print(json_str) # uncomment to debug except Exception as e: logger.warning(f"Exception occurred: {e}") def post_coverage_to_nvdf(coverage_data: Dict[str, Dict]): if not coverage_data or not _can_post_to_nvdf(): return try: app_info = get_app_info() ci_info = _get_ci_info() # convert json_data to nvdf form and add to list json_array = [] for data in coverage_data.values(): data["ts_created"] = int(time.time() * 1000) data["app"] = app_info data["ci"] = ci_info json_array.append(to_nvdf_form(data)) # post all results in one request project = "omniverse-kit-tests-coverage-v2" json_str = json.dumps(json_array, skipkeys=True) _post_json(project, json_str) # print(json_str) # uncomment to debug except Exception as e: logger.warning(f"Exception occurred: {e}") def _post_json(project: str, json_str: str): url = f"https://gpuwa.nvidia.com/dataflow/{project}/posting" try: resp = None req = urllib.request.Request(url) req.add_header("Content-Type", "application/json; charset=utf-8") json_data_bytes = json_str.encode("utf-8") # needs to be bytes # use a short 10 seconds timeout to avoid taking too much time in case of problems resp = urllib.request.urlopen(req, json_data_bytes, timeout=10) except (urllib.error.URLError, json.JSONDecodeError) as e: logger.warning(f"Error sending request to nvdf, response: {resp}, exception: {e}") def query_nvdf(query: str) -> dict: project = "df-omniverse-kit-tests-results-v2*" url = f"https://gpuwa.nvidia.com:443/elasticsearch/{project}/_search" try: resp = None req = urllib.request.Request(url) req.add_header("Content-Type", "application/json; charset=utf-8") json_data = json.dumps(query).encode("utf-8") # use a short 10 seconds timeout to avoid taking too much time in case of problems with urllib.request.urlopen(req, data=json_data, timeout=10) as resp: return json.loads(resp.read()) except (urllib.error.URLError, json.JSONDecodeError) as e: logger.warning(f"Request error to nvdf, response: {resp}, exception: {e}") return {} @lru_cache() def _detect_kit_branch_and_mr(full_kit_version: str) -> Tuple[str, int]: match = re.search(r"^([^\+]+)\+([^\.]+)", full_kit_version) if match is None: logger.warning(f"Cannot detect kit SDK branch from: {full_kit_version}") branch = "Unknown" else: if match[2] == "release": branch = f"release/{match[1]}" else: branch = match[2] # merge requests will be named mr1234 with 1234 being the merge request number if branch.startswith("mr") and branch[2:].isdigit(): mr = int(branch[2:]) branch = "" # if we have an mr we don't have the branch name else: mr = 0 return branch, mr @lru_cache() def _find_repository_info() -> str: """Get repo remote origin url, fallback on yaml if not found""" res = call_git(["config", "--get", "remote.origin.url"]) remote_url = res.stdout.strip("\n") if res and res.returncode == 0 else "" if remote_url: return remote_url # Attempt to find the repository from yaml file kit_root = Path(sys.argv[0]).parent if kit_root.stem.lower() != "kit": info_yaml = kit_root.joinpath("INFO.yaml") if not info_yaml.exists(): info_yaml = kit_root.joinpath("PACKAGE-INFO.yaml") if info_yaml.exists(): repo_re = re.compile(r"^Repository\s*:\s*(.+)$", re.MULTILINE) content = info_yaml.read_text() matches = repo_re.findall(content) if len(matches) == 1: return matches[0].strip() return "" @lru_cache() def get_app_info() -> Dict: """This should be part of omni.kit.app. Example response: { "app_name": "omni.app.full.kit", "app_version": "1.0.1", "kit_version_full": "103.1+release.10030.f5f9dcab.tc", "kit_version": "103.1", "kit_build_number": 10030, "branch": "master" "config": "release", "platform": "windows-x86_64", "python_version": "cp37" } """ app = omni.kit.app.get_app() ver = app.get_build_version() # eg 103.1+release.10030.f5f9dcab.tc branch, mr = _detect_kit_branch_and_mr(ver) settings = carb.settings.get_settings() info = { "app_name": settings.get("/app/name"), "app_name_full": settings.get("/app/window/title") or settings.get("/app/name"), "app_version": settings.get("/app/version"), "branch": branch, "merge_request": mr, "git_hash": ver.rsplit(".", 2)[1], "git_remote_url": _find_repository_info(), "kit_version_full": ver, "kit_version": ver.split("+", 1)[0], "kit_build_number": int(ver.rsplit(".", 3)[1]), } info.update(app.get_platform_info()) return info @lru_cache() def _get_ci_info() -> Dict: info = { "ci_name": "local", } if is_running_in_teamcity(): info.update( { "ci_name": "teamcity", "build_id": os.getenv("TEAMCITY_BUILD_ID") or "", "build_config_name": os.getenv("TEAMCITY_BUILDCONF_NAME") or "", "build_url": get_teamcity_build_url(), "project_name": os.getenv("TEAMCITY_PROJECT_NAME") or "", } ) elif is_running_in_gitlab(): info.update( { "ci_name": "gitlab", "build_id": os.getenv("CI_PIPELINE_ID") or "", "build_config_name": os.getenv("CI_JOB_NAME") or "", "build_url": get_gitlab_build_url(), "project_name": os.getenv("CI_PROJECT_NAME") or "", } ) # todo : support github return info def to_nvdf_form(data: dict) -> Dict: """Convert dict to NVDF-compliant form. https://confluence.nvidia.com/display/nvdataflow/NVDataFlow#NVDataFlow-PostingPayload """ reserved = {"ts_created", "_id"} prefixes = {str: "s_", float: "d_", int: "l_", bool: "b_", list: "obj_", tuple: "obj_"} key_illegal_pattern = "[!@#$%^&*.]+" def _convert(d): result = {} try: for key, value in d.items(): key = re.sub(key_illegal_pattern, "_", key) if key in reserved: result[key] = value elif key.startswith("ts_"): result[key] = value elif isinstance(value, dict): # note that nvdf docs state this should prefix with 'obj_', but without works also. # We choose not to as it matches up with existing fields from kit benchmarking result[key] = _convert(value) elif hasattr(value, "__dict__"): # support for Classes result[key] = _convert(value.__dict__) elif isinstance(value, (list, tuple)): _type = type(value[0]) if value else str result[prefixes[_type] + key] = value elif isinstance(value, (str, float, int, bool)): result[prefixes[type(value)] + key] = value else: raise ValueError(f"Type {type(value)} not supported in nvdf (data: {data})") return result except Exception as e: raise Exception(f"Exception for {key} {value} -> {e}") return _convert(data) def remove_nvdf_form(data: dict): prefixes = ["s_", "d_", "l_", "b_"] def _convert(d): result = {} try: for key, value in d.items(): if isinstance(value, dict): # note that nvdf docs state this should prefix with 'obj_', but without works also. # We choose not to as it matches up with existing fields from kit benchmarking result[key] = _convert(value) elif hasattr(value, "__dict__"): # support for Classes result[key] = _convert(value.__dict__) elif isinstance(value, (list, tuple, str, float, int, bool)): if key[:2] in prefixes: key = key[2:] result[key] = value else: raise ValueError(f"Type {type(value)} not supported in nvdf (data: {data})") return result except Exception as e: raise Exception(f"Exception for {key} {value} -> {e}") return _convert(data)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/__init__.py
import asyncio import omni.kit.app import omni.ext from .async_unittest import AsyncTestCase from .async_unittest import AsyncTestCaseFailOnLogError from .async_unittest import AsyncTestSuite from .utils import get_setting, get_global_test_output_path, get_test_output_path from .ext_utils import decompose_test_list from .ext_utils import extension_from_test_name from .ext_utils import find_disabled_tests from .ext_utils import get_module_to_extension_map from .ext_utils import test_only_extension_dependencies from . import unittests from .unittests import get_tests_from_modules from .unittests import get_tests_to_remove_from_modules from .unittests import run_tests from .unittests import get_tests from .unittests import remove_from_dynamic_test_cache from .exttests import run_ext_tests, shutdown_ext_tests from .exttests import ExtTest, ExtTestResult from .test_reporters import TestRunStatus from .test_reporters import add_test_status_report_cb from .test_reporters import remove_test_status_report_cb from .test_coverage import PyCoverageCollector from .test_populators import DEFAULT_POPULATOR_NAME, TestPopulator, TestPopulateAll, TestPopulateDisabled from .reporter import generate_report try: from omni.kit.omni_test_registry import omni_test_registry except ImportError: # omni_test_registry is copied at build time into the omni.kit.test extension directory in _build pass async def _auto_run_tests(run_tests_and_exit: bool): # Skip 2 updates to make sure all extensions loaded and initialized await omni.kit.app.get_app().next_update_async() await omni.kit.app.get_app().next_update_async() # Run Extension tests? # This part runs on the parent Kit Process that triggers all extension tests test_exts = list(get_setting("/exts/omni.kit.test/testExts", default=[])) if len(test_exts) > 0: # Quit on finish: def on_finish(result: bool): # generate coverage report at the end? if get_setting("/exts/omni.kit.test/testExtGenerateCoverageReport", default=False): generate_report() returncode = 0 if result else 21 omni.kit.app.get_app().post_quit(returncode) exclude_exts = list(get_setting("/exts/omni.kit.test/excludeExts", default=[])) run_ext_tests(test_exts, on_finish_fn=on_finish, exclude_exts=exclude_exts) return # Print tests? # This part runs on the child Kit Process to print the number of extension tests if len(test_exts) == 0 and get_setting("/exts/omni.kit.test/printTestsAndQuit", default=False): unittests.print_tests() omni.kit.app.get_app().post_quit(0) return # Run python tests? # This part runs on the child Kit Process that performs the extension tests if run_tests_and_exit: tests_filter = get_setting("/exts/omni.kit.test/runTestsFilter", default="") from unittest.result import TestResult # Quit on finish: def on_finish(result: TestResult): returncode = 0 if result.wasSuccessful() else 13 cpp_test_res = get_setting("/exts/omni.kit.test/~cppTestResult", default=None) if cpp_test_res is not None: returncode += cpp_test_res if not get_setting("/exts/omni.kit.test/doNotQuit", default=False): omni.kit.app.get_app().post_quit(returncode) unittests.run_tests(unittests.get_tests(tests_filter), on_finish) class _TestAutoRunner(omni.ext.IExt): """Automatically run tests based on setting""" def __init__(self): super().__init__() self._py_coverage = PyCoverageCollector() def on_startup(self): # Report generate mode? if get_setting("/exts/omni.kit.test/testExtGenerateReport", default=False): generate_report() omni.kit.app.get_app().post_quit(0) return # Otherwise: regular test run run_tests_and_exit = get_setting("/exts/omni.kit.test/runTestsAndQuit", default=False) ui_mode = get_setting("/exts/omni.kit.test/testExtUIMode", default=False) # If launching a Python test then start test coverage subsystem (might do nothing depending on the settings) if run_tests_and_exit or ui_mode: self._py_coverage.startup() def on_app_ready(e): asyncio.ensure_future(_auto_run_tests(run_tests_and_exit)) self._app_ready_sub = ( omni.kit.app.get_app() .get_startup_event_stream() .create_subscription_to_pop_by_type( omni.kit.app.EVENT_APP_READY, on_app_ready, name="omni.kit.test start tests" ) ) def on_shutdown(self): # Stop coverage and generate report if it's started. self._py_coverage.shutdown() shutdown_ext_tests()
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/sampling.py
import datetime import logging import random from statistics import mean from .nvdf import get_app_info, query_nvdf from .utils import clamp, get_setting, is_running_on_ci logger = logging.getLogger(__name__) class SamplingFactor: LOWER_BOUND = 0.0 UPPER_BOUND = 1.0 MID_POINT = 0.5 class Sampling: """Basic Tests Sampling support""" AGG_TEST_IDS = "test_ids" AGG_LAST_PASSED = "last_passed" LAST_PASSED_COUNT = 3 TEST_IDS_COUNT = 1000 DAYS = 4 def __init__(self, app_info: dict): self.tests_sample = [] self.tests_run_count = [] self.query_result = False self.app_info = app_info def run_query(self, extension_name: str, unittests: list, running_on_ci: bool): # when running locally skip the nvdf query if running_on_ci: try: self.query_result = self._query_nvdf(extension_name, unittests) except Exception as e: logger.warning(f"Exception while doing nvdf query: {e}") else: self.query_result = True # populate test list if empty, can happen both locally and on CI if self.query_result and not self.tests_sample: self.tests_sample = unittests self.tests_run_count = [SamplingFactor.MID_POINT] * len(self.tests_sample) def get_tests_to_skip(self, sampling_factor: float) -> list: if not self.query_result: return [] weights = self._calculate_weights() samples_count = len(self.tests_sample) # Grab (1.0 - sampling factor) to get the list of tests to skip sampling_factor = SamplingFactor.UPPER_BOUND - sampling_factor sampling_count = clamp(int(sampling_factor * float(samples_count)), 0, samples_count) # use sampling seed if available seed = int(get_setting("/exts/omni.kit.test/testExtSamplingSeed", default=-1)) if seed >= 0: random.seed(seed) sampled_tests = self._random_choices_no_replace( population=self.tests_sample, weights=weights, k=sampling_count, ) return sampled_tests def _query_nvdf(self, extension_name: str, unittests: list) -> bool: # pragma: no cover query = self._es_query(extension_name, days=self.DAYS, hours=0) r = query_nvdf(query) for aggs in r.get("aggregations", {}).get(self.AGG_TEST_IDS, {}).get("buckets", {}): key = aggs.get("key") if key not in unittests: continue hits = aggs.get(self.AGG_LAST_PASSED, {}).get("hits", {}).get("hits", []) if not hits: continue all_failed = False for hit in hits: passed = hit["_source"]["test"]["b_passed"] all_failed = all_failed or not passed # consecutive failed tests cannot be skipped if all_failed: continue self.tests_sample.append(key) self.tests_run_count.append(aggs.get("doc_count", 0)) return True def _random_choices_no_replace(self, population, weights, k) -> list: """Similar to numpy.random.Generator.choice() with replace=False""" weights = list(weights) positions = range(len(population)) indices = [] while True: needed = k - len(indices) if not needed: break for i in random.choices(positions, weights, k=needed): if weights[i]: weights[i] = SamplingFactor.LOWER_BOUND indices.append(i) return [population[i] for i in indices] def _calculate_weights(self) -> list: """Simple weight adjusting to make sure all tests run an equal amount of times""" samples_min = min(self.tests_run_count) samples_max = max(self.tests_run_count) samples_width = samples_max - samples_min samples_mean = mean(self.tests_run_count) def _calculate_weight(test_count: int): if samples_width == 0: return SamplingFactor.MID_POINT weight = SamplingFactor.MID_POINT + (samples_mean - float(test_count)) / float(samples_width) # clamp is not set to [0.0, 1.0] to have better random distribution return clamp( weight, SamplingFactor.LOWER_BOUND + 0.05, SamplingFactor.UPPER_BOUND - 0.05, ) return [_calculate_weight(c) for c in self.tests_run_count] def _es_query(self, extension_name: str, days: int, hours: int) -> dict: target_date = datetime.datetime.utcnow() - datetime.timedelta(days=days, hours=hours) kit_version = self.app_info["kit_version"] platform = self.app_info["platform"] branch = self.app_info["branch"] merge_request = self.app_info["merge_request"] query = { "aggs": { self.AGG_TEST_IDS: { "terms": {"field": "test.s_test_id", "order": {"_count": "desc"}, "size": self.TEST_IDS_COUNT}, "aggs": { self.AGG_LAST_PASSED: { "top_hits": { "_source": "test.b_passed", "size": self.LAST_PASSED_COUNT, "sort": [{"ts_created": {"order": "desc"}}], } } }, } }, "size": 0, "query": { "bool": { "filter": [ {"match_all": {}}, {"term": {"test.s_ext_test_id": extension_name}}, {"term": {"app.s_kit_version": kit_version}}, {"term": {"app.s_platform": platform}}, {"term": {"app.s_branch": branch}}, {"term": {"app.l_merge_request": merge_request}}, { "range": { "ts_created": { "gte": target_date.isoformat() + "Z", "format": "strict_date_optional_time", } } }, ], } }, } return query def get_tests_sampling_to_skip(extension_name: str, sampling_factor: float, unittests: list) -> list: # pragma: no cover """Return a list of tests that can be skipped for a given extension based on a sampling factor When using tests sampling we have to run: 1) all new tests (not found on nvdf) 2) all failed tests (ie: only consecutive failures, flaky tests are not considered) 3) sampling tests (sampling factor * number of tests) By applying (1 - sampling factor) we get a list of tests to skip, which are garanteed not to contain any test from point 1 or 2. """ ts = Sampling(get_app_info()) ts.run_query(extension_name, unittests, is_running_on_ci()) return ts.get_tests_to_skip(sampling_factor)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/test_populators.py
"""Support for the population of a test list from various configurable sources""" from __future__ import annotations import abc import unittest from .ext_utils import find_disabled_tests from .unittests import get_tests __all__ = [ "DEFAULT_POPULATOR_NAME", "TestPopulator", "TestPopulateAll", "TestPopulateDisabled", ] # The name of the default populator, implemented with TestPopulateAll DEFAULT_POPULATOR_NAME = "All Tests" # ============================================================================================================== class TestPopulator(abc.ABC): """Base class for the objects used to populate the initial list of tests, before filtering.""" def __init__(self, name: str, description: str): """Set up the populator with the important information it needs for getting tests from some location Args: name: Name of the populator, which can be used for a menu description: Verbose description of the populator, which can be used for the tooltip of the menu item """ self.name: str = name self.description: str = description self.tests: list[unittest.TestCase] = [] # Remembers the tests it retrieves for later use # -------------------------------------------------------------------------------------------------------------- def destroy(self): """Opportunity to clean up any allocated resources""" pass # -------------------------------------------------------------------------------------------------------------- @abc.abstractmethod def get_tests(self, call_when_done: callable): """Populate the internal list of raw tests and then call the provided function when it has been done. The callable takes one optional boolean 'canceled' that is only True if the test retrieval was not done. """ # ============================================================================================================== class TestPopulateAll(TestPopulator): """Implementation of the TestPopulator that returns a list of all tests known to Kit""" def __init__(self): super().__init__( DEFAULT_POPULATOR_NAME, "Use all of the tests in currently enabled extensions that pass the filters", ) def get_tests(self, call_when_done: callable): self.tests = get_tests() call_when_done() # ============================================================================================================== class TestPopulateDisabled(TestPopulator): """Implementation of the TestPopulator that returns a list of all tests disabled by their extension.toml file""" def __init__(self): super().__init__( "Disabled Tests", "Use all tests from enabled extensions whose extension.toml flags them as disabled", ) def get_tests(self, call_when_done: callable): self.tests = find_disabled_tests() call_when_done()
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/crash_process.py
def _error(stream, msg): stream.write(f"[error] [{__file__}] {msg}\n") def _crash_process_win(pid): # fmt: off import ctypes POINTER = ctypes.POINTER LPVOID = ctypes.c_void_p PVOID = LPVOID HANDLE = LPVOID PHANDLE = POINTER(HANDLE) ULONG = ctypes.c_ulong SIZE_T = ctypes.c_size_t LONG = ctypes.c_long NTSTATUS = LONG DWORD = ctypes.c_uint32 ACCESS_MASK = DWORD INVALID_HANDLE_VALUE = ctypes.c_void_p(-1).value BOOL = ctypes.c_int byref = ctypes.byref long = int WAIT_TIMEOUT = 0x102 WAIT_FAILED = 0xFFFFFFFF WAIT_OBJECT_0 = 0 STANDARD_RIGHTS_ALL = long(0x001F0000) SPECIFIC_RIGHTS_ALL = long(0x0000FFFF) SYNCHRONIZE = long(0x00100000) STANDARD_RIGHTS_REQUIRED = long(0x000F0000) PROCESS_ALL_ACCESS = (STANDARD_RIGHTS_REQUIRED | SYNCHRONIZE | 0xFFFF) THREAD_CREATE_FLAGS_SKIP_THREAD_ATTACH = long(0x00000002) def NT_SUCCESS(x): return x >= 0 windll = ctypes.windll # HANDLE WINAPI OpenProcess( # IN DWORD dwDesiredAccess, # IN BOOL bInheritHandle, # IN DWORD dwProcessId # ); _OpenProcess = windll.kernel32.OpenProcess _OpenProcess.argtypes = [DWORD, BOOL, DWORD] _OpenProcess.restype = HANDLE # NTSTATUS NtCreateThreadEx( # OUT PHANDLE hThread, # IN ACCESS_MASK DesiredAccess, # IN PVOID ObjectAttributes, # IN HANDLE ProcessHandle, # IN PVOID lpStartAddress, # IN PVOID lpParameter, # IN ULONG Flags, # IN SIZE_T StackZeroBits, # IN SIZE_T SizeOfStackCommit, # IN SIZE_T SizeOfStackReserve, # OUT PVOID lpBytesBuffer # ); _NtCreateThreadEx = windll.ntdll.NtCreateThreadEx _NtCreateThreadEx.argtypes = [PHANDLE, ACCESS_MASK, PVOID, HANDLE, PVOID, PVOID, ULONG, SIZE_T, SIZE_T, SIZE_T, PVOID] _NtCreateThreadEx.restype = NTSTATUS # DWORD WINAPI WaitForSingleObject( # HANDLE hHandle, # DWORD dwMilliseconds # ); _WaitForSingleObject = windll.kernel32.WaitForSingleObject _WaitForSingleObject.argtypes = [HANDLE, DWORD] _WaitForSingleObject.restype = DWORD hProcess = _OpenProcess( PROCESS_ALL_ACCESS, 0, # bInheritHandle pid ) if not hProcess: raise ctypes.WinError() # this injects a new thread into the process running the test code. this thread starts executing at address 0, # causing a crash. # # alternatives considered: # # DebugBreakProcess(): in order for DebugBreakProcess() to send the breakpoint, a debugger must be attached. this # can be accomplished with DebugActiveProcess()/WaitForDebugEvent()/ContinueDebugEvent(). unfortunately, when a # debugger is attached, UnhandledExceptionFilter() is ignored. UnhandledExceptionFilter() is where the test process # runs the crash dump code. # # CreateRemoteThread(): this approach does not work if the target process is stuck waiting for the loader lock. # # the solution below uses NtCreateThreadEx to create the faulting thread in the test process. unlike # CreateRemoteThread(), NtCreateThreadEx accepts the THREAD_CREATE_FLAGS_SKIP_THREAD_ATTACH flag which skips # THREAD_ATTACH in DllMain thereby avoiding the loader lock. hThread = HANDLE(INVALID_HANDLE_VALUE) status = _NtCreateThreadEx( byref(hThread), (STANDARD_RIGHTS_ALL | SPECIFIC_RIGHTS_ALL), 0, # ObjectAttributes hProcess, 0, # lpStartAddress (calls into null causing a crash) 0, # lpParameter THREAD_CREATE_FLAGS_SKIP_THREAD_ATTACH, 0, # StackZeroBits 0, # StackZeroBits (must be 0 to crash) 0, # SizeOfStackReserve 0, # lpBytesBuffer ) if not NT_SUCCESS(status): raise OSError(None, "NtCreateThreadEx failed", None, status) waitTimeMs = 30 * 1000 status = _WaitForSingleObject(hProcess, waitTimeMs) if status == WAIT_TIMEOUT: raise TimeoutError("timed out while waiting for target process to exit") elif status == WAIT_FAILED: raise ctypes.WinError() elif status != WAIT_OBJECT_0: raise OSError(None, "failed to wait for target process to exit", None, status) # fmt: on def crash_process(process, stream): """ Triggers a crash dump in the test process, terminating the process. Returns True if the test process was terminated, False if the process is still running. """ import os assert process pid = process.pid if os.name == "nt": try: _crash_process_win(pid) except Exception as e: _error(stream, f"Failed crashing timed out process: {pid}. Error: {e}") else: import signal try: process.send_signal(signal.SIGABRT) process.wait(timeout=30) # seconds except Exception as e: _error(stream, f"Failed crashing timed out process: {pid}. Error: {e}") return not process.is_running()
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/utils.py
import glob import hashlib import os import shutil import sys from datetime import datetime from functools import lru_cache from pathlib import Path from typing import List, Tuple import carb import carb.settings import carb.tokens import omni.ext from .gitlab import is_running_in_gitlab from .teamcity import is_running_in_teamcity _settings_iface = None def get_setting(path, default=None): global _settings_iface if not _settings_iface: _settings_iface = carb.settings.get_settings() setting = _settings_iface.get(path) return setting if setting is not None else default def get_local_timestamp(): return ( # ':' is not path-friendly on windows datetime.now() .isoformat(timespec="seconds") .replace(":", "-") ) @lru_cache() def _split_argv() -> Tuple[List[str], List[str]]: """Return list of argv before `--` and after (processed and unprocessed)""" try: index = sys.argv.index("--") return list(sys.argv[:index]), list(sys.argv[index + 1 :]) except ValueError: return list(sys.argv), [] def get_argv() -> List[str]: return _split_argv()[0] def get_unprocessed_argv() -> List[str]: return _split_argv()[1] def resolve_path(path, root) -> str: path = carb.tokens.get_tokens_interface().resolve(path) if not os.path.isabs(path): path = os.path.join(root, path) return os.path.normpath(path) @lru_cache() def _get_passed_test_output_path(): return get_setting("/exts/omni.kit.test/testOutputPath", default=None) @lru_cache() def get_global_test_output_path(): """Get global extension test output path. It is shared for all extensions.""" # If inside test process, we have testoutput for actual extension, just go on folder up: output_path = _get_passed_test_output_path() if output_path: return os.path.abspath(os.path.join(output_path, "..")) # If inside ext test runner process, use setting: output_path = carb.tokens.get_tokens_interface().resolve( get_setting("/exts/omni.kit.test/testExtOutputPath", default="") ) output_path = os.path.abspath(output_path) return output_path @lru_cache() def get_test_output_path(): """Get local extension test output path. It is unique for each extension test process.""" output_path = _get_passed_test_output_path() # If not passed we probably not inside test process, default to global if not output_path: return get_global_test_output_path() output_path = os.path.abspath(carb.tokens.get_tokens_interface().resolve(output_path)) return output_path @lru_cache() def get_ext_test_id() -> str: return str(get_setting("/exts/omni.kit.test/extTestId", default="")) def cleanup_folder(path): try: for p in glob.glob(f"{path}/*"): if os.path.isdir(p): if omni.ext.is_link(p): omni.ext.destroy_link(p) else: shutil.rmtree(p) else: os.remove(p) except Exception as exc: # pylint: disable=broad-except carb.log_warn(f"Unable to clean up files: {path}: {exc}") def ext_id_to_fullname(ext_id: str) -> str: return omni.ext.get_extension_name(ext_id) def clamp(value, min_value, max_value): return max(min(value, max_value), min_value) @lru_cache() def is_running_on_ci(): return is_running_in_teamcity() or is_running_in_gitlab() def call_git(args, cwd=None): import subprocess cmd = ["git"] + args carb.log_verbose("run process: {}".format(cmd)) try: res = subprocess.run(cmd, cwd=cwd, capture_output=True, text=True) if res.returncode != 0: carb.log_warn(f"Error running process: {cmd}. Result: {res}. Stderr: {res.stderr}") return res except FileNotFoundError: carb.log_warn("Failed calling git") except PermissionError: carb.log_warn("No permission to execute git") def _hash_file_impl(path, hash, as_text): mode = "r" if as_text else "rb" encoding = "utf-8" if as_text else None with open(path, mode, encoding=encoding) as f: while True: data = f.readline().encode("utf-8") if as_text else f.read(65536) if not data: break hash.update(data) def hash_file(path, hash): # Try as text first, to avoid CRLF/LF mismatch on both platforms try: return _hash_file_impl(path, hash, as_text=True) except UnicodeDecodeError: return _hash_file_impl(path, hash, as_text=False) def sha1_path(path, hash_length=16) -> str: exclude_files = ["extension.gen.toml"] hash = hashlib.sha1() if os.path.isfile(path): hash_file(path, hash) else: for p in glob.glob(f"{path}/**", recursive=True): if not os.path.isfile(p) or os.path.basename(p) in exclude_files: continue hash_file(p, hash) return hash.hexdigest()[:hash_length] def sha1_list(strings: List[str], hash_length=16) -> str: hash = hashlib.sha1() for s in strings: hash.update(s.encode("utf-8")) return hash.hexdigest()[:hash_length]
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/test_reporters.py
from enum import Enum from typing import Callable, Any class TestRunStatus(Enum): UNKNOWN = 0 RUNNING = 1 PASSED = 2 FAILED = 3 _callbacks = [] def add_test_status_report_cb(callback: Callable[[str, TestRunStatus, Any], None]): """Add callback to be called when tests start, fail, pass.""" global _callbacks _callbacks.append(callback) def remove_test_status_report_cb(callback: Callable[[str, TestRunStatus, Any], None]): """Remove callback to be called when tests start, fail, pass.""" global _callbacks _callbacks.remove(callback) def _test_status_report(test_id: str, status: TestRunStatus, **kwargs): for cb in _callbacks: cb(test_id, status, **kwargs)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/async_unittest.py
"""Async version of python unittest module. AsyncTestCase, AsyncTestSuite and AsyncTextTestRunner classes were copied from python unittest source and async/await keywords were added. There are two ways of registering tests, which must all be in the 'tests' submodule of your python module. 1. 'from X import *" from every file containing tests 2. Add the line 'scan_for_test_modules = True' in your __init__.py file to pick up tests in every file starting with 'test_' """ import asyncio import time import unittest import warnings from unittest.case import _Outcome import carb import omni.kit.app from .reporter import TestReporter from .test_reporters import TestRunStatus from .utils import get_ext_test_id, is_running_on_ci KEY_FAILING_TESTS = "Failing tests" STARTED_UNITTEST = "started " async def await_or_call(func): """ Awaits on function if it is a coroutine, calls it otherwise. """ if asyncio.iscoroutinefunction(func): await func() else: func() class LogErrorChecker: """Automatically subscribes to logging events and monitors if error were produced during the test.""" def __init__(self): # Setup this test case to fail if any error is produced self._error_count = 0 def on_log_event(e): if e.payload["level"] >= carb.logging.LEVEL_ERROR: self._error_count = self._error_count + 1 self._log_stream = omni.kit.app.get_app().get_log_event_stream() self._log_sub = self._log_stream.create_subscription_to_pop(on_log_event, name="test log event") def shutdown(self): self._log_stream = None self._log_sub = None def get_error_count(self): self._log_stream.pump() return self._error_count class AsyncTestCase(unittest.TestCase): """Base class for all async test cases. Derive from it to make your tests auto discoverable. Test methods must start with `test_` prefix. Test cases allow for generation and/or adaptation of tests at runtime. See testing_exts_python.md for more details. """ # If true test will check for Carbonite logging messages and fail if any error level or higher was produced during the test. fail_on_log_error = False async def run(self, result=None): # Log error checker self._log_error_checker = None if self.fail_on_log_error: carb.log_warn( "[DEPRECATION WARNING] `AsyncTestCaseFailOnLogError` is deprecated. Replace with `AsyncTestCase`. Errors are captured from stdout by an external test runner process now." ) # Make sure log buffer pumped: await omni.kit.app.get_app().next_update_async() self._log_error_checker = LogErrorChecker() orig_result = result if result is None: result = self.defaultTestResult() startTestRun = getattr(result, "startTestRun", None) if startTestRun is not None: startTestRun() result.startTest(self) testMethod = getattr(self, self._testMethodName) if getattr(self.__class__, "__unittest_skip__", False) or getattr(testMethod, "__unittest_skip__", False): # If the class or method was skipped. try: skip_why = getattr(self.__class__, "__unittest_skip_why__", "") or getattr( testMethod, "__unittest_skip_why__", "" ) self._addSkip(result, self, skip_why) finally: result.stopTest(self) return expecting_failure_method = getattr(testMethod, "__unittest_expecting_failure__", False) expecting_failure_class = getattr(self, "__unittest_expecting_failure__", False) expecting_failure = expecting_failure_class or expecting_failure_method outcome = _Outcome(result) try: self._outcome = outcome with outcome.testPartExecutor(self): await await_or_call(self.setUp) if outcome.success: outcome.expecting_failure = expecting_failure with outcome.testPartExecutor(self, isTest=True): await await_or_call(testMethod) outcome.expecting_failure = False with outcome.testPartExecutor(self): await await_or_call(self.tearDown) # Log error checks if self._log_error_checker: await omni.kit.app.get_app().next_update_async() error_count = self._log_error_checker.get_error_count() if error_count > 0: self.fail(f"Test failure because of {error_count} error message(s) logged during it.") self.doCleanups() for test, reason in outcome.skipped: self._addSkip(result, test, reason) self._feedErrorsToResult(result, outcome.errors) if outcome.success: if expecting_failure: if outcome.expectedFailure: self._addExpectedFailure(result, outcome.expectedFailure) else: self._addUnexpectedSuccess(result) else: result.addSuccess(self) return result finally: if self._log_error_checker: self._log_error_checker.shutdown() result.stopTest(self) if orig_result is None: stopTestRun = getattr(result, "stopTestRun", None) if stopTestRun is not None: stopTestRun() # explicitly break reference cycles: # outcome.errors -> frame -> outcome -> outcome.errors # outcome.expectedFailure -> frame -> outcome -> outcome.expectedFailure outcome.errors.clear() outcome.expectedFailure = None # clear the outcome, no more needed self._outcome = None class AsyncTestCaseFailOnLogError(AsyncTestCase): """Test Case which automatically subscribes to logging events and fails if any error were produced during the test. This class is for backward compatibility, you can also just change value of `fail_on_log_error`. """ # Enable failure on error fail_on_log_error = True class OmniTestResult(unittest.TextTestResult): def __init__(self, stream, descriptions, verbosity): # If we are running under CI we will use default unittest reporter with higher verbosity. if not is_running_on_ci(): verbosity = 2 super(OmniTestResult, self).__init__(stream, descriptions, verbosity) self.reporter = TestReporter(stream) self.on_status_report_fn = None def _report_status(self, *args, **kwargs): if self.on_status_report_fn: self.on_status_report_fn(*args, **kwargs) @staticmethod def get_tc_test_id(test): if isinstance(test, str): return test # Use dash as a clear visual separator of 3 parts: test_id = "%s - %s - %s" % (test.__class__.__module__, test.__class__.__qualname__, test._testMethodName) # Dots have special meaning in TC, replace with / test_id = test_id.replace(".", "/") ext_test_id = get_ext_test_id() if ext_test_id: # In the context of extension test it has own test id. Convert to TC form by getting rid of dots. ext_test_id = ext_test_id.replace(".", "+") test_id = f"{ext_test_id}.{test_id}" return test_id def addSuccess(self, test): super(OmniTestResult, self).addSuccess(test) def addError(self, test, err, *k): super(OmniTestResult, self).addError(test, err) fail_message = self._get_error_message(test, "Error", self.errors) self.report_fail(test, "Error", err, fail_message) def addFailure(self, test, err, *k): super(OmniTestResult, self).addFailure(test, err) fail_message = self._get_error_message(test, "Fail", self.failures) self.report_fail(test, "Failure", err, fail_message) def report_fail(self, test, fail_type: str, err, fail_message: str): tc_test_id = self.get_tc_test_id(test) test_id = test.id() # pass the failing test info back to the ext testing framework in parent proc self.stream.write(f"##omni.kit.test[append, {KEY_FAILING_TESTS}, {test_id}]\n") self.reporter.unittest_fail(test_id, tc_test_id, fail_type, fail_message) self._report_status(test_id, TestRunStatus.FAILED, fail_message=fail_message) def _get_error_message(self, test, fail_type: str, errors: list) -> str: # In python/Lib/unittest/result.py the failures are reported with _exc_info_to_string() that is private. # To get the same result we grab the latest errors/failures from `self.errors[-1]` or `self.failures[-1]` # In python/Lib/unittest/runner.py from the `printErrorList` function we also copied the logic here. exc_info = errors[-1][1] if errors[-1] else "" error_msg = [] error_msg.append(self.separator1) error_msg.append(f"{fail_type.upper()}: {self.getDescription(test)}") error_msg.append(self.separator2) error_msg.append(exc_info) return "\n".join(error_msg) def startTest(self, test): super(OmniTestResult, self).startTest(test) tc_test_id = self.get_tc_test_id(test) test_id = test.id() self.stream.write("\n") # python tests can start but never finish (crash, time out, etc) # track it from the parent proc with a pragma message (see _extract_metadata_pragma in exttests.py) self.stream.write(f"##omni.kit.test[set, {test_id}, {STARTED_UNITTEST}{tc_test_id}]\n") self.reporter.unittest_start(test_id, tc_test_id, captureStandardOutput="true") self._report_status(test_id, TestRunStatus.RUNNING) def stopTest(self, test): super(OmniTestResult, self).stopTest(test) tc_test_id = self.get_tc_test_id(test) test_id = test.id() # test finished, delete it from the metadata self.stream.write(f"##omni.kit.test[del, {test_id}]\n") # test._outcome is None when test is skipped using decorator. # When skipped using self.skipTest() it contains list of skipped test cases skipped = test._outcome is None or bool(test._outcome.skipped) # self.skipped last index contains the current skipped test, name is at index 0, reason at index 1 skip_reason = self.skipped[-1][1] if skipped and self.skipped else "" # skipped tests are marked as "passed" not to confuse reporting down the line passed = test._outcome.success if test._outcome and not skipped else True self.reporter.unittest_stop(test_id, tc_test_id, passed=passed, skipped=skipped, skip_reason=skip_reason) if passed: self._report_status(test_id, TestRunStatus.PASSED) class TeamcityTestResult(OmniTestResult): def __init__(self, stream, descriptions, verbosity): carb.log_warn("[DEPRECATION WARNING] `TeamcityTestResult` is deprecated. Replace with `OmniTestResult`.") super(TeamcityTestResult, self).__init__(stream, descriptions, verbosity) class AsyncTextTestRunner(unittest.TextTestRunner): """A test runner class that displays results in textual form. It prints out the names of tests as they are run, errors as they occur, and a summary of the results at the end of the test run. """ async def run(self, test, on_status_report_fn=None): "Run the given test case or test suite." result = self._makeResult() unittest.signals.registerResult(result) result.failfast = self.failfast result.buffer = self.buffer result.tb_locals = self.tb_locals result.on_status_report_fn = on_status_report_fn with warnings.catch_warnings(): if self.warnings: # if self.warnings is set, use it to filter all the warnings warnings.simplefilter(self.warnings) # if the filter is 'default' or 'always', special-case the # warnings from the deprecated unittest methods to show them # no more than once per module, because they can be fairly # noisy. The -Wd and -Wa flags can be used to bypass this # only when self.warnings is None. if self.warnings in ["default", "always"]: warnings.filterwarnings( "module", category=DeprecationWarning, message=r"Please use assert\w+ instead." ) startTime = time.time() startTestRun = getattr(result, "startTestRun", None) if startTestRun is not None: startTestRun() try: await test(result) finally: stopTestRun = getattr(result, "stopTestRun", None) if stopTestRun is not None: stopTestRun() stopTime = time.time() timeTaken = stopTime - startTime result.printErrors() if hasattr(result, "separator2"): self.stream.writeln(result.separator2) run = result.testsRun self.stream.writeln("Ran %d test%s in %.3fs" % (run, run != 1 and "s" or "", timeTaken)) self.stream.writeln() expectedFails = unexpectedSuccesses = skipped = 0 try: results = map(len, (result.expectedFailures, result.unexpectedSuccesses, result.skipped)) except AttributeError: pass else: expectedFails, unexpectedSuccesses, skipped = results infos = [] if not result.wasSuccessful(): self.stream.write("FAILED") failed, errored = len(result.failures), len(result.errors) if failed: infos.append("failures=%d" % failed) if errored: infos.append("errors=%d" % errored) else: self.stream.write("OK") if skipped: infos.append("skipped=%d" % skipped) if expectedFails: infos.append("expected failures=%d" % expectedFails) if unexpectedSuccesses: infos.append("unexpected successes=%d" % unexpectedSuccesses) if infos: self.stream.writeln(" (%s)" % (", ".join(infos),)) else: self.stream.write("\n") return result def _isnotsuite(test): "A crude way to tell apart testcases and suites with duck-typing" try: iter(test) except TypeError: return True return False class AsyncTestSuite(unittest.TestSuite): """A test suite is a composite test consisting of a number of TestCases. For use, create an instance of TestSuite, then add test case instances. When all tests have been added, the suite can be passed to a test runner, such as TextTestRunner. It will run the individual test cases in the order in which they were added, aggregating the results. When subclassing, do not forget to call the base class constructor. """ async def run(self, result, debug=False): topLevel = False if getattr(result, "_testRunEntered", False) is False: result._testRunEntered = topLevel = True for index, test in enumerate(self): if result.shouldStop: break if _isnotsuite(test): self._tearDownPreviousClass(test, result) self._handleModuleFixture(test, result) self._handleClassSetUp(test, result) result._previousTestClass = test.__class__ if getattr(test.__class__, "_classSetupFailed", False) or getattr(result, "_moduleSetUpFailed", False): continue if not debug: await test(result) else: await test.debug() if self._cleanup: self._removeTestAtIndex(index) if topLevel: self._tearDownPreviousClass(None, result) self._handleModuleTearDown(result) result._testRunEntered = False return result
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/reporter.py
import fnmatch import glob import json import os import platform import shutil import sys import time import xml.etree.ElementTree as ET from collections import defaultdict from dataclasses import dataclass from datetime import datetime from enum import Enum from functools import lru_cache from pathlib import Path from typing import Dict, List, Optional import carb import carb.settings import carb.tokens import psutil from .nvdf import post_coverage_to_nvdf, post_to_nvdf from .teamcity import teamcity_message, teamcity_publish_artifact, teamcity_status from .test_coverage import generate_coverage_report from .utils import ( ext_id_to_fullname, get_ext_test_id, get_global_test_output_path, get_setting, get_test_output_path, is_running_on_ci, ) CURRENT_PATH = Path(__file__).parent HTML_PATH = CURRENT_PATH.parent.parent.parent.joinpath("html") REPORT_FILENAME = "report.jsonl" RESULTS_FILENAME = "results.xml" @lru_cache() def get_report_filepath(): return os.path.join(get_test_output_path(), REPORT_FILENAME) @lru_cache() def get_results_filepath(): return os.path.join(get_test_output_path(), RESULTS_FILENAME) def _load_report_data(report_path): data = [] with open(report_path, "r") as f: for line in f: data.append(json.loads(line)) return data def _get_tc_test_id(test_id): return test_id.replace(".", "+") class TestReporter: """Combines TC reports to stdout and JSON lines report to a file""" def __init__(self, stream=sys.stdout): self._stream = stream self._timers = {} self._report_filepath = get_report_filepath() self.unreliable_tests = get_setting("/exts/omni.kit.test/unreliableTests", default=[]) self.parallel_run = get_setting("/exts/omni.kit.test/parallelRun", default=False) def _get_duration(self, test_id: str) -> float: try: duration = round(time.time() - self._timers.pop(test_id), 3) except KeyError: duration = 0.0 return duration def _is_unreliable(self, test_id): return any(fnmatch.fnmatch(test_id, p) for p in self.unreliable_tests) def set_output_path(self, output_path: str): self._report_filepath = os.path.join(output_path, REPORT_FILENAME) def _write_report(self, data: dict): if self._report_filepath: with open(self._report_filepath, "a") as f: f.write(json.dumps(data)) f.write("\n") def unittest_start(self, test_id, tc_test_id, captureStandardOutput="false"): teamcity_message( "testStarted", stream=self._stream, name=tc_test_id, captureStandardOutput=captureStandardOutput ) self._timers[test_id] = time.time() self._write_report( { "event": "start", "test_type": "unittest", "test_id": test_id, "ext_test_id": get_ext_test_id(), "unreliable": self._is_unreliable(test_id), "parallel_run": self.parallel_run, "start_time": time.time(), } ) def unittest_stop(self, test_id, tc_test_id, passed=False, skipped=False, skip_reason=""): if skipped: teamcity_message("testIgnored", stream=self._stream, name=tc_test_id, message=skip_reason) teamcity_message("testFinished", stream=self._stream, name=tc_test_id) self._write_report( { "event": "stop", "test_type": "unittest", "test_id": test_id, "ext_test_id": get_ext_test_id(), "passed": passed, "skipped": skipped, "skip_reason": skip_reason, "stop_time": time.time(), "duration": self._get_duration(test_id), } ) def unittest_fail(self, test_id, tc_test_id, fail_type: str, fail_message: str): teamcity_message("testFailed", stream=self._stream, name=tc_test_id, fail_type=fail_type, message=fail_message) self._write_report( { "event": "fail", "test_type": "unittest", "test_id": test_id, "ext_test_id": get_ext_test_id(), "fail_type": fail_type, "message": fail_message, } ) def exttest_start(self, test_id, tc_test_id, ext_id, ext_name, captureStandardOutput="false", report=True): teamcity_message( "testStarted", stream=self._stream, name=tc_test_id, captureStandardOutput=captureStandardOutput ) if report: self._timers[test_id] = time.time() self._write_report( { "event": "start", "test_type": "exttest", "test_id": test_id, "ext_id": ext_id, "ext_name": ext_name, "start_time": time.time(), } ) def exttest_stop(self, test_id, tc_test_id, passed=False, skipped=False, report=True): if skipped: teamcity_message("testIgnored", stream=self._stream, name=tc_test_id, message="skipped") teamcity_message("testFinished", stream=self._stream, name=tc_test_id) if report: self._write_report( { "event": "stop", "test_type": "exttest", "test_id": test_id, "passed": passed, "skipped": skipped, "stop_time": time.time(), "duration": self._get_duration(test_id), } ) def exttest_fail(self, test_id, tc_test_id, fail_type: str, fail_message: str): teamcity_message("testFailed", stream=self._stream, name=tc_test_id, fail_type=fail_type, message=fail_message) self._write_report( { "event": "fail", "test_type": "exttest", "test_id": test_id, "fail_type": fail_type, "message": fail_message, } ) def report_result(self, test): """Write tests results data we want to later show on the html report and in elastic""" res = defaultdict(dict) res["config"] = test.config res["retries"] = test.retries res["timeout"] = test.timeout if test.timeout else 0 ext_info = test.ext_info ext_dict = ext_info.get_dict() res["state"]["enabled"] = ext_dict.get("state", {}).get("enabled", False) res["package"]["version"] = ext_dict.get("package", {}).get("version", "") res.update(vars(test.result)) change = {} if test.change_analyzer_result: change["skip"] = test.change_analyzer_result.should_skip_test change["startup_sequence_hash"] = test.change_analyzer_result.startup_sequence_hash change["tested_ext_hash"] = test.change_analyzer_result.tested_ext_hash change["kernel_version"] = test.change_analyzer_result.kernel_version self._write_report( { "event": "result", "test_type": "exttest", "test_id": test.test_id, "ext_id": test.ext_id, "ext_name": test.ext_name, "test_bucket": test.bucket_name, "unreliable": test.config.get("unreliable", False), "parallel_run": get_setting("/exts/omni.kit.test/parallelRun", default=False), "change_analyzer": change, "result": res, } ) # TODO: this function should be rewritten to avoid any guessing def _get_extension_name(path: str, ext_id_to_name: dict): # if ext_id is in the path return that extension name for k, v in ext_id_to_name.items(): if k in path: return v p = Path(path) for i, e in enumerate(p.parts): if e == "exts" or e == "extscore": if p.parts[i + 1][0:1].isdigit(): return ext_id_to_fullname(p.parts[i + 2]) else: return p.parts[i + 1] elif e == "extscache" or e == "extsPhysics": # exts from cache will be named like this: omni.ramp-103.0.10+103.1.wx64.r.cp37 # exts from physics will be named like this: omni.physx-1.5.0-5.1 return ext_id_to_fullname(p.parts[i + 1]) elif e == "extensions": # on linux we'll have paths from source/extensions/<ext_name> return p.parts[i + 1] carb.log_warn(f"Could not get extension name for {path}") return "_unsorted" class ExtCoverage: def __init__(self): self.ext_id: str = "" self.ext_name: str = "" self.covered_lines = [] self.num_statements = [] self.test_result = {} def mean_cov(self): statements = self.sum_statements() if statements == 0: return 0 return (self.sum_covered_lines() / statements) * 100.0 def sum_covered_lines(self): return sum(self.covered_lines) def sum_statements(self): return sum(self.num_statements) # Note that the combined coverage data will 'merge' (or 'lose') the test config because the coverage is reported # at the filename level. For example an extension with 2 configs, omni.kit.renderer.core [default, compatibility] # will produce 2 .pycov files, but in the combined report (json) it will be merged per source file, so no way to know # what was the coverage for default vs compatibility, we'll get to coverage for all of omni.kit.renderer.core tests def _build_ext_coverage(coverage_data: dict, ext_id_to_name: dict) -> Dict[str, ExtCoverage]: exts = defaultdict(ExtCoverage) for file, info in coverage_data["files"].items(): ext_name = _get_extension_name(file, ext_id_to_name) exts[ext_name].ext_name = ext_name exts[ext_name].covered_lines.append(info["summary"]["covered_lines"]) exts[ext_name].num_statements.append(info["summary"]["num_statements"]) return exts def _report_unreliable_tests(report_data): # Dummy tests to group all "unreliable" tests and report (convenience for TC UI) unreliable_failed = [r for r in report_data if r["event"] == "result" and r["result"]["unreliable_fail"] == 1] reporter = TestReporter() total = len(unreliable_failed) if total > 0: dummy_test_id = "UNRELIABLE_TESTS" summary = "" for r in unreliable_failed: test_result = r["result"] summary += " [{0:5.1f}s] {1} (Count: {2})\n".format( test_result["duration"], r["test_id"], test_result["test_count"] ) reporter.unittest_start(dummy_test_id, dummy_test_id) message = f"There are {total} tests that fail, but marked as unreliable:\n{summary}" reporter.unittest_fail(dummy_test_id, dummy_test_id, "Error", message) print(message) reporter.unittest_stop(dummy_test_id, dummy_test_id) def _build_test_data_html(report_data): # consider retries: start, fail, start, (nothing) -> success # for each fail look back and add extra data that this test will pass or fail. # it is convenient for the next code to know ahead of time if test will pass. started_tests = {} for e in report_data: if e["event"] == "start": started_tests[e["test_id"]] = e elif e["event"] == "fail": started_tests[e["test_id"]]["will_pass"] = False results = {item["test_id"]: item["result"] for item in report_data if item["event"] == "result"} RESULT_EMOJI = {True: "&#9989;", False: "&#10060;"} COLOR_CLASS = {True: "add-green-color", False: "add-red-color"} unreliable = False html_data = '<ul class="test_list">\n' depth = 0 for e in report_data: if e["event"] == "start": # reset depth if needed (missing stop event) if e["test_type"] == "exttest" and depth > 0: depth -= 1 while depth > 0: html_data += "</ul>\n" depth -= 1 depth += 1 if depth > 1: html_data += "<ul>\n" test_id = e["test_id"] passed = e.get("will_pass", True) extra = "" attr = "" # Root test ([[test]] entry) # Reset unreliable marker if depth == 1: unreliable = False # Get more stats about the whole [[test]] run if test_id in results: test_result = results[test_id] extra += " [{0:5.1f}s]".format(test_result["duration"]) unreliable = bool(test_result["unreliable"]) passed = test_result["passed"] style_class = COLOR_CLASS[passed] if unreliable: extra += " <b>[unreliable]</b>" style_class = "add-yellow-color unreliable" html_data += '<li class="{0}" {4}>{3} {1} {2}</li>\n'.format( style_class, extra, test_id, RESULT_EMOJI[passed], attr ) if e["event"] == "stop": depth -= 1 if depth > 0: html_data += "</ul>\n" html_data += "</ul>\n" return html_data def _post_build_status(report_data: list): exts = {item["ext_id"] for item in report_data if item["event"] == "result"} # there could be retry events, so only count unique tests: tests_started = {item["test_id"] for item in report_data if item["event"] == "start"} tests_passed = {item["test_id"] for item in report_data if item["event"] == "stop" and item["passed"]} total_count = len(tests_started) fail_count = total_count - len(tests_passed) if fail_count: status = "failure" text = f"{fail_count} tests failed out of {total_count}" else: status = "success" text = f"All {total_count} tests passed" text += " (extensions tested: {}).".format(len(exts)) teamcity_status(text=text, status=status) def _calculate_durations(report_data: list): """ Calculate startup time of each extension and time taken by each individual test We count the time between the extension start_time to the start_time of the first test """ ext_startup_time = {} ext_startup_time_found = {} ext_tests_time = {} for d in report_data: test_id = d["test_id"] test_type = d["test_type"] ext_test_id = d.get("ext_test_id", None) if d["event"] == "start": if test_type == "exttest": if not ext_startup_time_found.get(test_id): start_time = d["start_time"] ext_startup_time[test_id] = start_time else: if not ext_startup_time_found.get(ext_test_id): t = ext_startup_time.get(ext_test_id, 0.0) ext_startup_time[ext_test_id] = round(d["start_time"] - t, 2) ext_startup_time_found[ext_test_id] = True elif d["event"] == "stop": if test_type == "unittest": t = ext_tests_time.get(ext_test_id, 0.0) t += d.get("duration", 0.0) ext_tests_time[ext_test_id] = t elif d["event"] == "result": test_result = d.get("result", None) if test_result: # it's possible an extension has no tests, so we set startup_duration = duration if ext_startup_time_found.get(test_id, False) is True: t = ext_startup_time.get(test_id, 0.0) test_result["startup_duration"] = t else: test_result["startup_duration"] = test_result.get("duration", 0.0) # update duration of all tests test_result["tests_duration"] = ext_tests_time.get(test_id, 0.0) # ratios test_result["startup_ratio"] = 0.0 test_result["tests_ratio"] = 0.0 if test_result["tests_duration"] != 0.0: test_result["startup_ratio"] = (test_result["startup_duration"] / test_result["duration"]) * 100.0 test_result["tests_ratio"] = (test_result["tests_duration"] / test_result["duration"]) * 100.0 def generate_report(): """After running tests this function will generate html report / post to nvdf / publish artifacts""" # at this point all kit processes should be finished if is_running_on_ci(): _kill_kit_processes() try: print("\nGenerating a Test Report...") _generate_report_internal() except Exception as e: import traceback print(f"Exception while running generate_report(): {e}, callstack: {traceback.format_exc()}") def _kill_kit_processes(): """Kill all Kit processes except self""" kit_process_name = carb.tokens.get_tokens_interface().resolve("${exe-filename}") for proc in psutil.process_iter(): if proc.pid == os.getpid(): continue try: if proc.name() == kit_process_name: carb.log_warn( "Killing a Kit process that is still running:\n" f" PID: {proc.pid}\n" f" Command line: {proc.cmdline()}" ) proc.terminate() except psutil.AccessDenied as e: carb.log_warn(f"Access denied: {e}") except psutil.ZombieProcess as e: carb.log_warn(f"Encountered a zombie process: {e}") except psutil.NoSuchProcess as e: carb.log_warn(f"Process no longer exists: {e}") except (psutil.Error, Exception) as e: carb.log_warn(f"An error occurred: {str(e)}") def _generate_report_internal(): # Get Test report and publish it report_data = [] # combine report from various test runs (each process has own file, for parallel run) for report_file in glob.glob(get_global_test_output_path() + "/*/" + REPORT_FILENAME): report_data.extend(_load_report_data(report_file)) if not report_data: return # generate combined file combined_report_path = get_global_test_output_path() + "/report_combined.jsonl" with open(combined_report_path, "w") as f: f.write(json.dumps(report_data)) teamcity_publish_artifact(combined_report_path) # TC Build status _post_build_status(report_data) # Dummy test report _report_unreliable_tests(report_data) # Prepare output path output_path = get_global_test_output_path() os.makedirs(output_path, exist_ok=True) # calculate durations (startup, total, etc) _calculate_durations(report_data) # post to elasticsearch post_to_nvdf(report_data) # write junit xml _write_junit_results(report_data) # get coverage results and generate html report merged_results, coverage_results = _load_coverage_results(report_data) html = _generate_html_report(report_data, merged_results) # post coverage results post_coverage_to_nvdf(_get_coverage_for_nvdf(merged_results, coverage_results)) # write and publish html report _write_html_report(html, output_path) # publish all test output to TC in the end: teamcity_publish_artifact(f"{output_path}/**/*") def _load_coverage_results(report_data, read_coverage=True) -> tuple[dict, dict]: # build a map of extension id to extension name ext_id_to_name = {} for item in report_data: if item["event"] == "result": ext_id_to_name[item["ext_id"]] = item["ext_name"] # Get data coverage per extension (configs are merged) coverage_results = defaultdict(ExtCoverage) if read_coverage: coverage_result = generate_coverage_report() if coverage_result and coverage_result.json_path: coverage_data = json.load(open(coverage_result.json_path)) coverage_results = _build_ext_coverage(coverage_data, ext_id_to_name) # combine test results and coverage data, key is the test_id (separates extensions per config) merged_results = defaultdict(ExtCoverage) for item in report_data: if item["event"] == "result": test_id = item["test_id"] ext_id = item["ext_id"] ext_name = item["ext_name"] merged_results[test_id].ext_id = ext_id merged_results[test_id].ext_name = ext_name merged_results[test_id].test_result = item["result"] cov = coverage_results.get(ext_name) if cov: merged_results[test_id].covered_lines = cov.covered_lines merged_results[test_id].num_statements = cov.num_statements return merged_results, coverage_results def _get_coverage_for_nvdf(merged_results: dict, coverage_results: dict) -> dict: json_data = {} for ext_name, _ in coverage_results.items(): # grab the matching result result: ExtCoverage = merged_results.get(ext_name) if not result: # in rare cases the default name of a test config can be different, search of the extension name instead res: ExtCoverage for res in merged_results.values(): if res.ext_name == ext_name: result = res break test_result = result.test_result if result else None if not test_result: continue test_data = { "ext_id": result.ext_id, "ext_name": ext_name, } test_data.update(test_result) json_data.update({ext_name: {"test": test_data}}) return json_data def _generate_html_report(report_data, merged_results): html = "" with open(os.path.join(HTML_PATH, "template.html"), "r") as f: html = f.read() class Color(Enum): RED = 0 GREEN = 1 YELLOW = 2 def get_color(var, threshold: tuple, inverse=False, warning_only=False) -> Color: if var == "": return None if inverse is True: if float(var) >= threshold[0]: return Color.RED elif float(var) >= threshold[1]: return Color.YELLOW elif not warning_only: return Color.GREEN else: if float(var) <= threshold[0]: return Color.RED elif float(var) <= threshold[1]: return Color.YELLOW elif not warning_only: return Color.GREEN def get_td(var, color: Color = None): if color is Color.RED: return f"<td ov-red>{var}</td>\n" elif color is Color.GREEN: return f"<td ov-green>{var}</td>\n" elif color is Color.YELLOW: return f"<td ov-yellow>{var}</td>\n" else: return f"<td>{var}</td>\n" coverage_enabled = get_setting("/exts/omni.kit.test/pyCoverageEnabled", default=False) coverage_threshold = get_setting("/exts/omni.kit.test/pyCoverageThreshold", default=75) # disable coverage button when not needed if not coverage_enabled: html = html.replace( """<button class="tablinks" onclick="openTab(event, 'Coverage')">Coverage</button>""", """<button disabled class="tablinks" onclick="openTab(event, 'Coverage')">Coverage</button>""", ) # Build test run data html = html.replace("%%test_data%%", _build_test_data_html(report_data)) # Build extension table html_data = "" for test_id, info in sorted(merged_results.items()): r = info.test_result waiver = True if r.get("config", {}).get("waiver") else False passed = r.get("passed", False) test_count = r.get("test_count", 0) duration = round(r.get("duration", 0.0), 1) startup_duration = round(r.get("startup_duration", 0.0), 1) startup_ratio = round(r.get("startup_ratio", 0.0), 1) tests_duration = round(r.get("tests_duration", 0.0), 1) tests_ratio = round(r.get("tests_ratio", 0.0), 1) timeout = round(r.get("timeout", 0), 0) timeout_ratio = 0 if timeout != 0: timeout_ratio = round((duration / timeout) * 100.0, 0) # an extension can override pyCoverageEnabled / pyCoverageThreshold ext_coverage_enabled = bool(r.get("config", {}).get("pyCoverageEnabled", coverage_enabled)) ext_coverage_threshold = int(r.get("config", {}).get("pyCoverageThreshold", coverage_threshold)) ext_coverage_threshold_low = int(ext_coverage_threshold * (2 / 3)) # coverage data num_statements = info.sum_statements() num_covered_lines = info.sum_covered_lines() cov_percent = round(info.mean_cov(), 2) # add those calculated values to our results py_coverage = { "lines_total": num_statements, "lines_tested": num_covered_lines, "cov_percent": float(cov_percent), "cov_threshold": ext_coverage_threshold, "enabled": bool(coverage_enabled and ext_coverage_enabled), } info.test_result["pyCoverage"] = py_coverage html_data += "<tr>\n" html_data += get_td(test_id) html_data += get_td(r.get("package", {}).get("version", "")) html_data += get_td(waiver, Color.GREEN if waiver is True else None) html_data += get_td(passed, Color.GREEN if bool(passed) is True else Color.RED) html_data += get_td(test_count, Color.GREEN if waiver is True else get_color(test_count, (0, 5))) # color code tests duration: >=60 seconds is red and >=30 seconds is yellow html_data += get_td(str(duration), get_color(duration, (60, 30), inverse=True, warning_only=True)) html_data += get_td(str(startup_duration)) html_data += get_td(str(startup_ratio)) html_data += get_td(str(tests_duration)) html_data += get_td(str(tests_ratio)) html_data += get_td(str(timeout)) html_data += get_td(str(timeout_ratio), get_color(timeout_ratio, (90, 75), inverse=True, warning_only=True)) html_data += get_td(bool(coverage_enabled and ext_coverage_enabled)) if coverage_enabled and ext_coverage_enabled: html_data += get_td(ext_coverage_threshold) html_data += get_td(num_statements) html_data += get_td(num_covered_lines) html_data += get_td( cov_percent, Color.GREEN if waiver is True else get_color(cov_percent, (ext_coverage_threshold_low, ext_coverage_threshold)), ) print(f" > Coverage for {test_id} is {cov_percent}%") else: for _ in range(4): html_data += get_td("-") html_data += "</tr>\n" html = html.replace("%%table_data%%", html_data) return html def _write_html_report(html, output_path): REPORT_NAME = "index.html" REPORT_FOLDER_NAME = "test_report" report_dir = os.path.join(output_path, REPORT_FOLDER_NAME) os.makedirs(report_dir, exist_ok=True) with open(os.path.join(report_dir, REPORT_NAME), "w") as f: f.write(html) print(f" > Full report available here {f.name}") if not is_running_on_ci(): import webbrowser webbrowser.open(f.name) # copy javascript/css files shutil.copyfile(os.path.join(HTML_PATH, "script.js"), os.path.join(report_dir, "script.js")) shutil.copyfile(os.path.join(HTML_PATH, "style.css"), os.path.join(report_dir, "style.css")) shutil.make_archive(os.path.join(output_path, REPORT_FOLDER_NAME), "zip", report_dir) teamcity_publish_artifact(os.path.join(output_path, "*.zip")) @dataclass class Stats: passed: int = 0 failure: int = 0 error: int = 0 skipped: int = 0 def get_total(self): return self.passed + self.failure + self.error + self.skipped def _write_junit_results(report_data: list): """Write a JUnit XML from our report data""" testcases = [] testsuites = ET.Element("testsuites") start_time = datetime.now() last_failure = {"message": "", "fail_type": ""} stats = Stats() for data in report_data: test_id = data["test_id"] test_type = data["test_type"] ext_test_id = data.get("ext_test_id", test_id) if data["event"] == "start": if test_type == "exttest": start_time = datetime.fromtimestamp(data["start_time"]) elif data["event"] == "fail": last_failure = data elif data["event"] == "stop": # create a testcase for each stop event (for both exttest and unittest) testcase = ET.Element("testcase", name=test_id, classname=ext_test_id, time=f"{data['duration']:.3f}") if data.get("skipped"): stats.skipped += 1 node = ET.SubElement(testcase, "skipped") node.text = data.get("skip_reason", "") elif data.get("passed"): stats.passed += 1 else: # extension tests failures are of type Error if test_type == "exttest": stats.error += 1 node = ET.SubElement(testcase, "error") elif last_failure["fail_type"] == "Failure": stats.failure += 1 node = ET.SubElement(testcase, "failure") else: stats.error += 1 node = ET.SubElement(testcase, "error") node.text = last_failure["message"] testcases.append(testcase) # extension test stop - gather all testcases and add test suite if test_type == "exttest": testsuite = ET.Element( "testsuite", name=test_id, failures=str(stats.failure), errors=str(stats.error), skipped=str(stats.skipped), tests=str(stats.get_total()), time=f"{data['duration']:.3f}", timestamp=start_time.isoformat(), hostname=platform.node(), ) testsuite.extend(testcases) testsuites.append(testsuite) # reset things between test suites testcases = [] last_failure = {"message": "", "fail_type": ""} stats = Stats() # write our file ET.indent(testsuites) with open(get_results_filepath(), "w", encoding="utf-8") as f: f.write(ET.tostring(testsuites, encoding="unicode", xml_declaration=True))
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/test_coverage.py
import os import shutil from datetime import datetime from functools import lru_cache from pathlib import Path import carb.settings import coverage import omni.kit.app from .teamcity import teamcity_publish_artifact from .utils import get_global_test_output_path, get_setting # For Coverage.py to be able to combine data it's required that combined reports have the same prefix in the filenames. # From https://coverage.readthedocs.io/en/coverage-6.1.2/api_coverage.htm: # "All coverage data files whose name starts with data_file (from the coverage() constructor) will be read, # and combined together into the current measurements." COV_OUTPUT_DATAFILE_PREFIX = "py_cov" COV_OUTPUT_DATAFILE_EXTENSION = ".pycov" CURRENT_PATH = Path(__file__).parent HTML_LOCAL_PATH = CURRENT_PATH.parent.parent.parent.joinpath("html", "coverage") class PyCoverageCollectorSettings: def __init__(self): self.enabled = False self.output_dir = None self.filter: list = None self.omit: list = None self.include_modules = False self.include_dependencies = False self.include_test_dependencies = False @lru_cache() def _get_coverage_output_dir(): return os.path.join(get_global_test_output_path(), "pycov") def read_coverage_collector_settings() -> PyCoverageCollectorSettings: result = PyCoverageCollectorSettings() result.enabled = get_setting("/exts/omni.kit.test/pyCoverageEnabled", True) result.output_dir = _get_coverage_output_dir() result.filter = get_setting("/exts/omni.kit.test/pyCoverageFilter", None) result.omit = get_setting("/exts/omni.kit.test/pyCoverageOmit", None) result.include_modules = get_setting("/exts/omni.kit.test/pyCoverageIncludeModules", False) result.include_dependencies = get_setting("/exts/omni.kit.test/pyCoverageIncludeDependencies", False) result.include_test_dependencies = get_setting("/exts/omni.kit.test/pyCoverageIncludeTestDependencies", False) return result class PyCoverageCollector: """Initializes code coverage collections and saves collected data at Python interpreter exit""" class PyCoverageSettings: def __init__(self): self.filter = None self.omit = None self.output_data_path_prefix = None self.output_datafile_suffix = None def __init__(self): self._coverage = None def _read_collector_settings(self) -> PyCoverageSettings: """ Reads coverage settings and returns non None PyCoverageSettings if Python coverage is required """ app_name = get_setting("/app/name") collector_settings = read_coverage_collector_settings() if not collector_settings.enabled: print(f"'{app_name}' has disabled Python coverage in settings") return None if collector_settings.output_dir is None: print(f"Output directory for Python coverage isn't set. Skipping Python coverage for '{app_name}'.") return None result = self.PyCoverageSettings() result.filter = collector_settings.filter result.omit = collector_settings.omit filename_timestamp = app_name + f"_{datetime.now():%Y-%m-%d_%H-%M-%S-%f}" # PyCoverage combines report files that have the same prefix so adding the same prefix to created reports result.output_data_path_prefix = os.path.normpath( os.path.join(collector_settings.output_dir, COV_OUTPUT_DATAFILE_PREFIX) ) result.output_datafile_suffix = filename_timestamp + COV_OUTPUT_DATAFILE_EXTENSION return result def startup(self): # Reading settings to check if it's needed to start Python coverage # It's needed to be done as soon as possible to properly collect data self._settings = self._read_collector_settings() if self._settings is not None: self._coverage = coverage.Coverage( source=self._settings.filter, omit=self._settings.omit, data_file=self._settings.output_data_path_prefix, data_suffix=self._settings.output_datafile_suffix, ) self._coverage.config.disable_warnings = [ "module-not-measured", "module-not-imported", "no-data-collected", "couldnt-parse", ] self._coverage.start() # Register for app shutdown to finalize the coverage. # For fast shutdown, shutdown function of ext will not be called. # The following subscription will give a chance to collect coverage report. if carb.settings.get_settings().get("/app/fastShutdown"): self._shutdown_subs = ( omni.kit.app.get_app() .get_shutdown_event_stream() .create_subscription_to_pop_by_type( omni.kit.app.POST_QUIT_EVENT_TYPE, self.shutdown, name="omni.kit.test::coverage", order=1000 ) ) else: self._shutdown_subs = None def shutdown(self, _=None): if self._coverage is not None: self._coverage.stop() try: # Note: trying to save report in non-internal format in the "atexit" handler will result in error self._coverage.save() except coverage.misc.CoverageException as err: print(f"Couldn't save Coverage report in internal format: {err}") self._coverage = None self._settings = None self._shutdown_subs = None class PyCoverageReporterSettings: def __init__(self): self.source_dir = None self.output_to_std = False self.output_to_json = False self.output_to_html = False self.combine_previous_data = False def read_coverage_reporter_settings() -> PyCoverageReporterSettings: coverage_enabled = get_setting("/exts/omni.kit.test/pyCoverageEnabled", True) if not coverage_enabled: return None pyCoverageFormats = [s.lower() for s in get_setting("/exts/omni.kit.test/pyCoverageFormats", ["json"])] output_to_std = "stdout" in pyCoverageFormats output_to_json = "json" in pyCoverageFormats output_to_html = "html" in pyCoverageFormats # Check if no Python coverage report required if not output_to_std and not output_to_json: return None source_dir = _get_coverage_output_dir() if not os.path.exists(source_dir): return None result = PyCoverageReporterSettings() result.source_dir = source_dir result.output_to_std = output_to_std result.output_to_json = output_to_json result.output_to_html = output_to_html result.combine_previous_data = get_setting("/exts/omni.kit.test/pyCoverageCombinedReport", False) return result def _report_single_coverage_result( cov: coverage, src_path: str, std_output: bool = True, json_output_file: str = None, title: str = None, html_output_path: str = None, ): """ Creates single report and returns path for created json file (or None if it wasn't created) """ try: # Note: parameter 'keep' sets if read files will be removed afterwards # setting it to true as they might be used to regenerate overall coverage report cov.combine(data_paths=[src_path], keep=True) # Note: ignore errors is needed to ignore some of the errors when coverage fails to process # .../PythonExtension.cpp::shutdown() or some other file if std_output: print() print("=" * 60) title = title if title is not None else "Python coverage report" print(title) print() cov.report(ignore_errors=True) print("=" * 60) if json_output_file is not None: cov.json_report(outfile=json_output_file, ignore_errors=True) if html_output_path is not None: cov.html_report(directory=html_output_path, ignore_errors=True) except coverage.misc.CoverageException as err: print(f"Couldn't create coverage report for '{src_path}': {err}") def _modify_html_report(output_path: str): # modify coverage html file to have a larger and clearer filter for extensions html = "" with open(os.path.join(output_path, "index.html"), 'r') as file: html = file.read() with open(os.path.join(HTML_LOCAL_PATH, "modify.html"), 'r') as file: # find_replace [0] is the line to find, [1] the line to replace and [2] the line to add find_replace = file.read().splitlines() html = html.replace(find_replace[0], find_replace[1] + '\n' + find_replace[2]) with open(os.path.join(output_path, "index.html"), 'w') as file: file.write(html) # overwrite coverage css/js files shutil.copyfile(os.path.join(HTML_LOCAL_PATH, "new_style.css"), os.path.join(output_path, "style.css")) shutil.copyfile(os.path.join(HTML_LOCAL_PATH, "new_script.js"), os.path.join(output_path, "coverage_html.js")) class PyCoverageReporterResult: def __init__(self): self.html_path = None self.json_path = None def report_coverage_results(reporter_settings: PyCoverageReporterSettings = None) -> PyCoverageReporterResult: """ Processes previously collected coverage data according to settings in the 'reporter_settings' """ result = PyCoverageReporterResult() if reporter_settings is None: return result if ( not reporter_settings.output_to_std and not reporter_settings.output_to_json and not reporter_settings.output_to_html ): print("No output report options selected for the coverage results. No result report generated.") return result # use global configuration file config_file = str(CURRENT_PATH.joinpath(".coveragerc")) # A helper file required by coverage for combining already existing reports cov_internal_file = os.path.join(reporter_settings.source_dir, COV_OUTPUT_DATAFILE_PREFIX) cov = coverage.Coverage(source=None, data_file=cov_internal_file, config_file=config_file) cov.config.disable_warnings = ["module-not-measured", "module-not-imported", "no-data-collected", "couldnt-parse"] if reporter_settings.combine_previous_data: result.json_path = ( os.path.join(reporter_settings.source_dir, "combined_py_coverage" + COV_OUTPUT_DATAFILE_EXTENSION + ".json") if reporter_settings.output_to_json else None ) result.html_path = ( os.path.join(reporter_settings.source_dir, "combined_py_coverage_html") if reporter_settings.output_to_html else None ) _report_single_coverage_result( cov, reporter_settings.source_dir, reporter_settings.output_to_std, result.json_path, html_output_path=result.html_path, ) if result.html_path and os.path.exists(result.html_path): # slightly modify the html report for our needs _modify_html_report(result.html_path) # add folder to zip file, while be used on TeamCity shutil.make_archive(os.path.join(reporter_settings.source_dir, "coverage"), "zip", result.html_path) if not os.path.exists(result.json_path): result.json_path = None else: internal_reports = [ file for file in os.listdir(reporter_settings.source_dir) if file.endswith(COV_OUTPUT_DATAFILE_EXTENSION) ] for cur_file in internal_reports: cov.erase() processed_filename = ( cur_file[len(COV_OUTPUT_DATAFILE_PREFIX) + 1 :] if cur_file.startswith(COV_OUTPUT_DATAFILE_PREFIX) else cur_file ) json_path = None if reporter_settings.output_to_json: json_path = os.path.join(reporter_settings.source_dir, processed_filename + ".json") title = None if reporter_settings.output_to_std: title, _ = os.path.splitext(processed_filename) title = f"Python coverage report for '{title}'" _report_single_coverage_result( cov, os.path.join(reporter_settings.source_dir, cur_file), reporter_settings.output_to_std, json_path, title, ) # Cleanup of intermediate data cov.erase() return result def generate_coverage_report() -> PyCoverageReporterResult: # processing coverage data result = PyCoverageReporterResult() coverage_collector_settings = read_coverage_collector_settings() # automatically enable coverage if we detect a pycov directory present when generating a report if os.path.exists(coverage_collector_settings.output_dir): carb.settings.get_settings().set("/exts/omni.kit.test/pyCoverageEnabled", True) coverage_collector_settings.enabled = True if coverage_collector_settings.enabled: coverage_reporter_settings = read_coverage_reporter_settings() result = report_coverage_results(coverage_reporter_settings) teamcity_publish_artifact(os.path.join(coverage_collector_settings.output_dir, "*.zip")) return result
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/flaky.py
import datetime import logging import os from collections import defaultdict import carb from .utils import get_test_output_path from .nvdf import get_app_info, query_nvdf logger = logging.getLogger(__name__) FLAKY_TESTS_QUERY_DAYS = 30 class FlakyTestAnalyzer: """Basic Flaky Tests Analyzer""" AGG_TEST_IDS = "ids" AGG_LAST_EXT_CONFIG = "config" BUCKET_PASSED = "passed" BUCKET_FAILED = "failed" tests_failed = set() ext_failed = defaultdict(list) def __init__( self, ext_test_id: str = "*", query_days=FLAKY_TESTS_QUERY_DAYS, exclude_consecutive_failure: bool = True ): self.ext_test_id = ext_test_id self.query_days = query_days self.exclude_consecutive_failure = exclude_consecutive_failure self.app_info = get_app_info() self.query_result = self._query_nvdf() def should_skip_test(self) -> bool: if not self.query_result: carb.log_info(f"{self.ext_test_id} query error - skipping test") return True if len(self.tests_failed) == 0: carb.log_info(f"{self.ext_test_id} has no failed tests in last {self.query_days} days - skipping test") return True return False def get_flaky_tests(self, ext_id: str) -> list: return self.ext_failed.get(ext_id, []) def generate_playlist(self) -> str: test_output_path = get_test_output_path() os.makedirs(test_output_path, exist_ok=True) filename = "flakytest_" + self.ext_test_id.replace(".", "_").replace(":", "-") filepath = os.path.join(test_output_path, f"{filename}_playlist.log") if self._write_playlist(filepath): return filepath def _write_playlist(self, filepath: str) -> bool: try: with open(filepath, "w") as f: f.write("\n".join(self.tests_failed)) return True except IOError as e: carb.log_warn(f"Error writing to {filepath} -> {e}") return False def _query_nvdf(self) -> bool: query = self._es_query(days=self.query_days, hours=0) r = query_nvdf(query) for aggs in r.get("aggregations", {}).get(self.AGG_TEST_IDS, {}).get("buckets", {}): test_id = aggs.get("key") test_config = aggs.get("config", {}).get("hits", {}).get("hits") if not test_config or not test_config[0]: continue test_config = test_config[0] ext_test_id = test_config.get("fields", {}).get("test.s_ext_test_id") if not ext_test_id or not ext_test_id[0]: continue ext_test_id = ext_test_id[0] passed = aggs.get(self.BUCKET_PASSED, {}).get("doc_count", 0) failed = aggs.get(self.BUCKET_FAILED, {}).get("doc_count", 0) ratio = 0 if passed != 0 and failed != 0: ratio = failed / (passed + failed) carb.log_info( f"{test_id} passed: {passed} failed: {failed} ({ratio * 100:.2f}% fail rate) in last {self.query_days} days" ) if failed == 0: continue self.ext_failed[ext_test_id].append( {"test_id": test_id, "passed": passed, "failed": failed, "ratio": ratio} ) self.tests_failed.add(test_id) return True def _es_query(self, days: int, hours: int) -> dict: target_date = datetime.datetime.utcnow() - datetime.timedelta(days=days, hours=hours) kit_version = self.app_info["kit_version"] carb.log_info(f"NVDF query for {self.ext_test_id} on Kit {kit_version}, last {days} days") query = { "aggs": { self.AGG_TEST_IDS: { "terms": {"field": "test.s_test_id", "order": {self.BUCKET_FAILED: "desc"}, "size": 1000}, "aggs": { self.AGG_LAST_EXT_CONFIG: { "top_hits": { "fields": [{"field": "test.s_ext_test_id"}], "_source": False, "size": 1, "sort": [{"ts_created": {"order": "desc"}}], } }, self.BUCKET_PASSED: { "filter": { "bool": { "filter": [{"term": {"test.b_passed": True}}], } } }, self.BUCKET_FAILED: { "filter": { "bool": { "filter": [{"term": {"test.b_passed": False}}], } } }, }, } }, "size": 0, "query": { "bool": { # filter out consecutive failure # not (test.b_consecutive_failure : * and test.b_consecutive_failure : true) "must_not": { "bool": { "filter": [ { "bool": { "should": [{"exists": {"field": "test.b_consecutive_failure"}}], "minimum_should_match": 1, } }, { "bool": { "should": [ {"term": {"test.b_consecutive_failure": self.exclude_consecutive_failure}} ], "minimum_should_match": 1, } }, ] } }, "filter": [ {"term": {"test.s_ext_test_id": self.ext_test_id}}, {"term": {"test.s_test_type": "unittest"}}, {"term": {"test.b_skipped": False}}, {"term": {"test.b_unreliable": False}}, {"term": {"test.b_parallel_run": False}}, # Exclude parallel_run results {"term": {"app.s_kit_version": kit_version}}, {"term": {"app.l_merge_request": 0}}, # Should we enable flaky tests from MR? For now excluded. { "range": { "ts_created": { "gte": target_date.isoformat() + "Z", "format": "strict_date_optional_time", } } }, ], } }, } return query
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/unittests.py
import asyncio import fnmatch import os import random import sys import traceback import unittest from contextlib import suppress from glob import glob from importlib import import_module from itertools import islice from os.path import basename, dirname, isfile, join, splitext from types import ModuleType from typing import Callable, List import carb import carb.tokens import omni.kit.app from .async_unittest import AsyncTestSuite, AsyncTextTestRunner, OmniTestResult from .exttests import RunExtTests from .reporter import TestReporter from .sampling import SamplingFactor, get_tests_sampling_to_skip from .teamcity import teamcity_message from .test_reporters import _test_status_report from .utils import get_ext_test_id, get_setting, get_test_output_path def _import_if_exist(module: str): try: return import_module(module) except ModuleNotFoundError as e: # doesn't exist if that is what we trying to import or namespace if e.name == module or module.startswith(e.name + "."): return None carb.log_error( f"Failed to import python module with tests: {module}. Error: {e}. Traceback:\n{traceback.format_exc()}" ) except Exception as e: carb.log_error( f"Failed to import python module with tests: {module}. Error: {e}. Traceback:\n{traceback.format_exc()}" ) def _get_enabled_extension_modules(filter_fn: Callable[[str], bool] = None): manager = omni.kit.app.get_app().get_extension_manager() # For each extension get each python module it declares module_names = manager.get_enabled_extension_module_names() sys_modules = set() for name in module_names: if name in sys.modules: if filter_fn and not filter_fn(name): continue sys_modules.add(sys.modules[name]) # Automatically look for and import '[some_module].tests' and '[some_module].ogn.tests' so that extensions # don't have to put tests into config files and import them all the time. for test_submodule in [f"{name}.tests", f"{name}.ogn.tests"]: if filter_fn and not filter_fn(test_submodule): continue if test_submodule in sys.modules: sys_modules.add(sys.modules[test_submodule]) else: test_module = _import_if_exist(test_submodule) if test_module: sys_modules.add(test_module) return sys_modules # ---------------------------------------------------------------------- SCANNED_TEST_MODULES = {} # Dictionary of moduleName: [dynamicTestModules] _EXTENSION_DISABLED_HOOK = None # Hook for monitoring extension state changes, to keep the auto-populated list synced _LOG = bool(os.getenv("TESTS_DEBUG")) # Environment variable to enable debugging of the test registration # ---------------------------------------------------------------------- def remove_from_dynamic_test_cache(module_root): """Get the list of tests dynamically added to the given module directory (via "scan_for_test_modules")""" global SCANNED_TEST_MODULES for module_suffix in ["", ".tests", ".ogn.tests"]: module_name = module_root + module_suffix tests_to_remove = SCANNED_TEST_MODULES.get(module_name, []) if tests_to_remove: if _LOG: print(f"Removing {len(tests_to_remove)} tests from {module_name}") del SCANNED_TEST_MODULES[module_name] # ---------------------------------------------------------------------- def _on_ext_disabled(ext_id, *_): """Callback executed when an extension has been disabled - scan for tests to remove""" config = omni.kit.app.get_app().get_extension_manager().get_extension_dict(ext_id) for node in ("module", "modules"): with suppress(KeyError): for module in config["python"][node]: remove_from_dynamic_test_cache(module["name"]) # ---------------------------------------------------------------------- def dynamic_test_modules(module_root: str, module_file: str) -> List[ModuleType]: """Import all of the test modules and return a list of the imports so that automatic test recognition works The normal test recognition mechanism relies on knowing all of the file names at build time. This function is used to support automatic recognition of all test files in a certain directory at run time. Args: module_root: Name of the module for which tests are being imported, usually just __name__ of the caller module_file: File from which the import is happening, usually just __file__ of the caller Usage: In the directory containing your tests add this line to the __init__.py file (creating the file if necessary): scan_for_test_modules = True It will pick up any Python files names testXXX.py or TestXXX.py and scan them for tests when the extension is loaded. Important: The __init__.py file must be imported with the extension. If you have a .tests module or .ogn.tests module underneath your main module this will happen automatically for you. Returns: List of modules that were added, each pointing to a file in which tests are contained """ global _EXTENSION_DISABLED_HOOK global SCANNED_TEST_MODULES if module_root in SCANNED_TEST_MODULES: return SCANNED_TEST_MODULES[module_root] modules_imported = [] for module_name in [basename(f) for f in glob(join(dirname(module_file), "*.py")) if isfile(f)]: if module_name != "__init__" and module_name.lower().startswith("test"): imported_module = f"{module_root}.{splitext(module_name)[0]}" modules_imported.append(import_module(imported_module)) SCANNED_TEST_MODULES[module_root] = modules_imported # This is a singleton initialization. If ever any test modules are scanned then from then on monitor for an # extension being disabled so that the cached list can be cleared for rebuilding on the next run. if _EXTENSION_DISABLED_HOOK is None: hooks = omni.kit.app.get_app().get_extension_manager().get_hooks() _EXTENSION_DISABLED_HOOK = hooks.create_extension_state_change_hook( _on_ext_disabled, omni.ext.ExtensionStateChangeType.BEFORE_EXTENSION_DISABLE, ext_dict_path="python", hook_name="python.unit_tests", ) return modules_imported # ============================================================================================================== def get_tests_to_remove_from_modules(modules, log=_LOG): """Return the list of tests to be removed when a module is unloaded. This includes all tests registered or dynamically discovered from the list of modules and their .tests or .ogn.tests submodules. Keeping this separate from get_tests_from_modules() allows the import of all three related modules, while preventing duplication of their tests when all extension module tests are requested. Args: modules: List of modules to """ all_modules = modules all_modules += [module.tests for module in modules if hasattr(module, "tests")] all_modules += [module.ogn.tests for module in modules if hasattr(module, "ogn") and hasattr(module.ogn, "tests")] return get_tests_from_modules(all_modules, log) # ============================================================================================================== def get_tests_from_modules(modules, log=_LOG): """Return the list of tests registered or dynamically discovered from the list of modules""" loader = unittest.TestLoader() loader.suiteClass = AsyncTestSuite tests = [] for module in modules: if log: carb.log_warn(f"Getting tests from module {module.__name__}") suite = loader.loadTestsFromModule(module) test_count = suite.countTestCases() if test_count > 0: if log: carb.log_warn(f"Found {test_count} tests in {module.__name__}") for t in suite: tests += t._tests if "scan_for_test_modules" in module.__dict__: if log: carb.log_warn(f"Scanning for test modules in {module.__name__} loaded from {module.__file__}") for extra_module in dynamic_test_modules(module.__name__, module.__file__): if log: carb.log_warn(f" Processing additional module {extra_module}") extra_suite = loader.loadTestsFromModule(extra_module) extra_count = extra_suite.countTestCases() if extra_count > 0: if log: carb.log_warn(f"Found {extra_count} additional tests added through {extra_module.__name__}") for extra_test in extra_suite: tests += extra_test._tests # Some tests can be generated at runtime out of discovered ones. For example, we can leverage that to duplicate # tests for different configurations. for t in islice(tests, 0, len(tests)): generate_extra = getattr(t, "generate_extra_tests", None) if callable(generate_extra): generated = generate_extra() if generated: tests += generated return tests def get_tests_from_enabled_extensions(): include_tests = get_setting("/exts/omni.kit.test/includeTests", default=[]) exclude_tests = get_setting("/exts/omni.kit.test/excludeTests", default=[]) def include_test(test_id: str) -> bool: return any(fnmatch.fnmatch(test_id, p) for p in include_tests) and not any( fnmatch.fnmatch(test_id, p) for p in exclude_tests ) # Filter modules before importing. That allows having test-only modules and dependencies, they will fail to import # in non-test environment. Tricky part is filtering itself. For includeTests = "omni.foo.test_abc_def_*" we want to # match `omni.foo` module, but not `omni.foo_test_abc` test id. Thus module filtering is more permissive and # checks "starts with" too. def include_module(module: str) -> bool: def match_module(module, pattern): return fnmatch.fnmatch(module, pattern) or pattern.startswith(module) return any(match_module(module, p) for p in include_tests) modules = _get_enabled_extension_modules(filter_fn=include_module) return (t for t in get_tests_from_modules(modules) if include_test(t.id())) def _get_tests_from_file(filepath: str) -> list: test_list = [] try: with open(filepath) as f: test_list = f.read().splitlines() except IOError as e: carb.log_warn(f"Error opening file {filepath} -> {e}") return test_list def _get_tests_override(tests: list) -> list: """Apply some override/modifiers to get the proper list of tests in that order: 1. Add/Remove unreliable tests depending on testExtRunUnreliableTests value 2. Get list of failed tests if present (if enabled, used with retry-on-failure) 3. Get list of tests from a file (if enabled, generated when running tests) 4. Get list of tests from sampling (if enabled) 5. Shuffle (random order) is applied last """ def is_unreliable_test(test_id: str) -> bool: return any(fnmatch.fnmatch(test_id, p) for p in unreliable_tests) unreliable_tests = get_setting("/exts/omni.kit.test/unreliableTests", default=[]) run_unreliable_tests = get_setting("/exts/omni.kit.test/testExtRunUnreliableTests", default=0) if run_unreliable_tests == RunExtTests.RELIABLE_ONLY: tests = [t for t in tests if not is_unreliable_test(t.id())] elif run_unreliable_tests == RunExtTests.UNRELIABLE_ONLY: tests = [t for t in tests if is_unreliable_test(t.id())] failed_tests = get_setting("/exts/omni.kit.test/retryFailedTests", default=[]) tests_filepath = get_setting("/exts/omni.kit.test/runTestsFromFile", default="") sampling_factor = float(get_setting("/exts/omni.kit.test/samplingFactor", default=SamplingFactor.UPPER_BOUND)) shuffle_tests = bool(get_setting("/exts/omni.kit.test/testExtRandomOrder", default=False)) if failed_tests: tests = [t for t in tests if t.id() in failed_tests] elif tests_filepath: tests_from_file = _get_tests_from_file(tests_filepath) tests = [t for t in tests if t.id() in tests_from_file] tests.sort(key=lambda x: tests_from_file.index(x.id())) elif tests and sampling_factor != SamplingFactor.UPPER_BOUND: sampling = get_tests_sampling_to_skip(get_ext_test_id(), sampling_factor, [t.id() for t in tests]) skipped_tests = [t for t in tests if t.id() in sampling] print( "----------------------------------------\n" f"Tests Sampling Factor set to {int(sampling_factor * 100)}% " f"(each test should run every ~{int(1.0 / sampling_factor)} runs)\n" ) teamcity_message("message", text=f"Tests Sampling Factor set to {int(sampling_factor * 100)}%") # Add unittest.skip function (decorator) to all skipped tests if not skipped already. # It will provide an explicit reason why the test was skipped. for t in skipped_tests: test_method = getattr(t, t._testMethodName) if not getattr(test_method, "__unittest_skip__", False): setattr(t, t._testMethodName, unittest.skip("Skipped by Sampling")(test_method)) if shuffle_tests: seed = int(get_setting("/exts/omni.kit.test/testExtSamplingSeed", default=-1)) if seed >= 0: random.seed(seed) random.shuffle(tests) return tests def get_tests(tests_filter="") -> List: """Default function to get all current tests. It gets tests from all enabled extensions, but also included include and exclude settings to filter them Args: tests_filter(str): Additional filter string to apply on list of tests. Returns: List of tests. """ if "*" not in tests_filter: tests_filter = f"*{tests_filter}*" # Find all tests in loaded extensions and filter with patterns using settings above: tests = [t for t in get_tests_from_enabled_extensions() if fnmatch.fnmatch(t.id(), tests_filter)] tests = _get_tests_override(tests) return tests def _setup_output_path(test_output_path: str): tokens = carb.tokens.get_tokens_interface() os.makedirs(test_output_path, exist_ok=True) tokens.set_value("test_output", test_output_path) def _write_tests_playlist(test_output_path: str, tests: list): n = 1 filepath = test_output_path app_name = get_setting("/app/name", "exttest") while os.path.exists(filepath): filepath = os.path.join(test_output_path, f"{app_name}_playlist_{n}.log") n += 1 try: with open(filepath, "w") as f: for t in tests: f.write(f"{t.id()}\n") except IOError as e: carb.log_warn(f"Error writing to {filepath} -> {e}") def run_tests_in_modules(modules, on_finish_fn=None): run_tests(get_tests_from_modules(modules, True), on_finish_fn) def run_tests(tests=None, on_finish_fn=None, on_status_report_fn=None): if tests is None: tests = get_tests() test_output_path = get_test_output_path() _setup_output_path(test_output_path) _write_tests_playlist(test_output_path, tests) loader = unittest.TestLoader() loader.suiteClass = AsyncTestSuite suite = AsyncTestSuite() suite.addTests(tests) def on_status_report(*args, **kwargs): if on_status_report_fn: on_status_report_fn(*args, **kwargs) _test_status_report(*args, **kwargs) # Use our own TC reporter: AsyncTextTestRunner.resultclass = OmniTestResult runner = AsyncTextTestRunner(verbosity=2, stream=sys.stdout) async def run(): result = await runner.run(suite, on_status_report) if on_finish_fn: on_finish_fn(result) print("========================================") print("========================================") print(f"Running Tests (count: {len(tests)}):") print("========================================") asyncio.ensure_future(run()) def print_tests(): tests = get_tests() print("========================================") print(f"Printing All Tests (count: {len(tests)}):") print("========================================") reporter = TestReporter() for t in tests: reporter.unittest_start(t.id(), t.id()) print(t.id()) reporter.unittest_stop(t.id(), t.id()) print("========================================")
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/exttests.py
from __future__ import annotations import asyncio import fnmatch import io import multiprocessing import os import pprint import random import re import subprocess import sys import time from collections import defaultdict from enum import IntEnum from typing import Dict, List, Set, Tuple import carb.dictionary import carb.settings import carb.tokens import omni.kit.app import psutil from .async_unittest import KEY_FAILING_TESTS, STARTED_UNITTEST from .code_change_analyzer import CodeChangeAnalyzer from .crash_process import crash_process from .flaky import FLAKY_TESTS_QUERY_DAYS, FlakyTestAnalyzer from .repo_test_context import RepoTestContext from .reporter import TestReporter from .sampling import SamplingFactor from .teamcity import is_running_in_teamcity, teamcity_message, teamcity_test_retry_support from .test_coverage import read_coverage_collector_settings from .test_reporters import TestRunStatus, _test_status_report from .utils import ( clamp, cleanup_folder, ext_id_to_fullname, get_argv, get_global_test_output_path, get_local_timestamp, get_setting, get_unprocessed_argv, is_running_on_ci, resolve_path, ) BEGIN_SEPARATOR = "\n{0} [EXTENSION TEST START: {{0}}] {0}\n".format("|" * 30) END_SEPARATOR = "\n{0} [EXTENSION TEST {{0}}: {{1}}] {0}\n".format("|" * 30) DEFAULT_TEST_NAME = "default" def _error(stream, msg): stream.write(f"[error] [{__file__}] {msg}\n") _debug_log = bool(os.getenv("OMNI_KIT_TEST_DEBUG", default=False)) _asyncio_process_was_terminated = False def _debug(stream, msg): if _debug_log: stream.write(f"[info] [{__file__}] {msg}\n") def matched_patterns(s: str, patterns: List[str]) -> List[str]: return [p for p in patterns if fnmatch.fnmatch(s, p)] def match(s: str, patterns: List[str]) -> bool: return len(matched_patterns(s, patterns)) > 0 def escape_for_fnmatch(s: str) -> str: return s.replace("[", "[[]") def unescape_fnmatch(s: str) -> str: return s.replace("[[]", "[") class FailPatterns: def __init__(self, include=[], exclude=[]): self.include = [escape_for_fnmatch(s.lower()) for s in include] self.exclude = [escape_for_fnmatch(s.lower()) for s in exclude] def merge(self, patterns: FailPatterns): self.include += patterns.include self.exclude += patterns.exclude def match_line(self, line: str) -> Tuple[str, str, bool]: line_lower = line.lower() include_matched = match(line_lower, self.include) exclude_matched = match(line_lower, self.exclude) if include_matched and not exclude_matched: patterns = matched_patterns(line_lower, self.include) patterns = [unescape_fnmatch(p) for p in patterns] return ", ".join(patterns), line.strip(), exclude_matched return "", "", exclude_matched def __str__(self): return pprint.pformat(vars(self)) class RunExtTests(IntEnum): RELIABLE_ONLY = 0 UNRELIABLE_ONLY = 1 BOTH = 2 class RetryStrategy: NO_RETRY = "no-retry" RETRY_ON_FAILURE = "retry-on-failure" ITERATIONS = "iterations" RERUN_UNTIL_FAILURE = "rerun-until-failure" # CI strategy, default to no-retry when testing locally RETRY_ON_FAILURE_CI_ONLY = "retry-on-failure-ci-only" class SamplingContext: ANY = "any" LOCAL = "local" CI = "ci" class TestRunContext: def __init__(self): # Setup output path for test data self.output_path = get_global_test_output_path() os.makedirs(self.output_path, exist_ok=True) print("Test output path: {}".format(self.output_path)) self.coverage_mode = get_setting("/exts/omni.kit.test/testExtGenerateCoverageReport", default=False) or ( "--coverage" in get_argv() ) # clean output folder? clean_output = get_setting("/exts/omni.kit.test/testExtCleanOutputPath", default=False) if clean_output: cleanup_folder(self.output_path) self.shared_patterns = FailPatterns( get_setting("/exts/omni.kit.test/stdoutFailPatterns/include", default=[]), get_setting("/exts/omni.kit.test/stdoutFailPatterns/exclude", default=[]), ) self.trim_stdout_on_success = bool(get_setting("/exts/omni.kit.test/testExtTrimStdoutOnSuccess", default=False)) self.trim_excluded_messages = bool( get_setting("/exts/omni.kit.test/stdoutFailPatterns/trimExcludedMessages", default=False) ) self.retry_strategy = get_setting("/exts/omni.kit.test/testExtRetryStrategy", default=RetryStrategy.NO_RETRY) self.max_test_run = int(get_setting("/exts/omni.kit.test/testExtMaxTestRunCount", default=1)) if self.retry_strategy == RetryStrategy.RETRY_ON_FAILURE_CI_ONLY: if is_running_on_ci(): self.retry_strategy = RetryStrategy.RETRY_ON_FAILURE self.max_test_run = 3 else: self.retry_strategy = RetryStrategy.NO_RETRY self.max_test_run = 1 self.run_unreliable_tests = RunExtTests(get_setting("/exts/omni.kit.test/testExtRunUnreliableTests", default=0)) self.run_flaky_tests = get_setting("/exts/omni.kit.test/testExtRunFlakyTests", default=False) self.start_ts = get_local_timestamp() self.repo_test_context = RepoTestContext() self.change_analyzer = None if get_setting("/exts/omni.kit.test/testExtCodeChangeAnalyzerEnabled", default=False) and is_running_on_ci(): self.change_analyzer = CodeChangeAnalyzer(self.repo_test_context) def _prepare_ext_for_testing(ext_name, stream=sys.stdout): manager = omni.kit.app.get_app().get_extension_manager() ext_id = None ext_info_local = manager.get_extension_dict(ext_name) if ext_info_local: return ext_info_local ext_info_remote = manager.get_registry_extension_dict(ext_name) if ext_info_remote: ext_id = ext_info_remote["package/id"] else: versions = manager.fetch_extension_versions(ext_name) if len(versions) > 0: ext_id = versions[0]["id"] else: _error(stream, f"Can't find extension: {ext_name} to run extension test on.") return None ext_info_local = manager.get_extension_dict(ext_id) is_local = ext_info_local is not None if not is_local: if not manager.pull_extension(ext_id): _error(stream, f"Failed to pull extension: {ext_id} to run extension test on.") return None ext_info_local = manager.get_extension_dict(ext_id) if not ext_info_local: _error(stream, f"Failed to get extension dict: {ext_id} while preparing extension for testing.") return ext_info_local def _prepare_app_for_testing(stream) -> Tuple[str, str]: """Returns path to app (kit file) and short name of an app.""" test_app = get_setting("/exts/omni.kit.test/testExtApp", default=None) test_app = carb.tokens.get_tokens_interface().resolve(test_app) # Test app can be either path to kit file or extension id (to optionally download and use extension as an app) if test_app.endswith(".kit") or "/" in test_app: return (test_app, "") app_ext_info = _prepare_ext_for_testing(test_app, stream) if app_ext_info: return (app_ext_info["path"], test_app) return (None, test_app) class ExtTestResult: def __init__(self): self.duration = 0.0 self.test_count = 0 self.unreliable = 0 self.unreliable_fail = 0 self.fail = 0 self.passed = True class TestApp: def __init__(self, stream): self.path, self.name = _prepare_app_for_testing(stream) self.is_empty = not self.name class ExtTest: def __init__( self, ext_id: str, ext_info: carb.dictionary.Item, test_config: Dict, test_id: str, is_parallel_run: bool, run_context: TestRunContext, test_app: TestApp, valid=True, ): self.context = run_context self.ext_id = ext_id self.ext_name = ext_id_to_fullname(ext_id) self.test_id = test_id self.app_name = "" # TC treats dots are separators to filter tests in UI, replace them. self.tc_test_id = test_id.replace(".", "+") + ".[PROCESS CHECK]" self.bucket_name = get_setting("/exts/omni.kit.test/testExtTestBucket", default="") self.unreliable = False self.skip = False self.allow_sampling = True self.args: List[str] = [] self.patterns = FailPatterns() self.timeout = -1 self.result = ExtTestResult() self.retries = 0 self.buffer_stdout = bool(is_parallel_run) or bool(self.context.trim_stdout_on_success) self.stdout = io.StringIO() if self.buffer_stdout else sys.stdout self.log_file = "" self.parallelizable = True self.reporter = TestReporter(self.stdout) self.test_app = test_app self.config = test_config self.ext_info = ext_info self.output_path = "" self.valid = bool(valid and self.ext_info) self.change_analyzer_result = None self.failed_tests = [] if self.valid: self._fill_ext_test() def _fill_ext_test(self): self.args = [get_argv()[0]] self.app_name = "exttest_" + self.test_id.replace(".", "_").replace(":", "-") ui_mode = get_setting("/exts/omni.kit.test/testExtUIMode", default=False) or ("--dev" in get_argv()) print_mode = get_setting("/exts/omni.kit.test/printTestsAndQuit", default=False) use_kit_file_as_app = get_setting("/exts/omni.kit.test/testExtUseKitFileAsApp", default=True) coverage_mode = self.context.coverage_mode self.ext_id = self.ext_info["package/id"] self.ext_name = self.ext_info["package/name"] is_kit_file = self.ext_info.get("isKitFile", False) # If extension is kit file just run startup test without using a test app ext_path = self.ext_info.get("path", "") if is_kit_file and use_kit_file_as_app: self.args += [ext_path] else: self.args += [self.test_app.path, "--enable", self.ext_id] # test output dir self.output_path = f"{self.context.output_path}/{self.app_name}" if not os.path.exists(self.output_path): os.makedirs(self.output_path) self.reporter.set_output_path(self.output_path) # current ts (not precise as test run can be delayed relative to this moment) ts = get_local_timestamp() self.log_file = f"{self.output_path}/{self.app_name}_{ts}_0.log" self.args += [ "--/log/flushStandardStreamOutput=1", "--/app/name=" + self.app_name, f"--/log/file='{self.log_file}'", f"--/exts/omni.kit.test/testOutputPath='{self.output_path}'", f"--/exts/omni.kit.test/extTestId='{self.test_id}'", f"--/crashreporter/dumpDir='{self.output_path}'", "--/crashreporter/preserveDump=1", "--/crashreporter/gatherUserStory=0", # don't pop up the GUI on crash "--/rtx-transient/dlssg/enabled=false", # OM-97205: Disable DLSS-G for now globally, so L40 tests will all pass. DLSS-G tests will have to enable it ] # also set extTestId on the parent process - needed when calling unittest_* functions from exttests.py carb.settings.get_settings().set_string("/exts/omni.kit.test/extTestId", self.test_id) # Pass all exts folders ext_folders = list(get_setting("/app/exts/folders", default=[])) ext_folders += list(get_setting("/persistent/app/exts/userFolders", default=[])) for folder in ext_folders: self.args += ["--ext-folder", folder] # Profiler trace enabled ? default_profiling = get_setting("/exts/omni.kit.test/testExtEnableProfiler", default=False) profiling = self.config.get("profiling", default_profiling) if profiling: self.args += [ "--/plugins/carb.profiler-cpu.plugin/saveProfile=1", "--/plugins/carb.profiler-cpu.plugin/compressProfile=1", "--/app/profileFromStart=1", f"--/plugins/carb.profiler-cpu.plugin/filePath='{self.output_path}/ct_{self.app_name}_{ts}.gz'", ] # Timeout for the process default_timeout = int(get_setting("/exts/omni.kit.test/testExtDefaultTimeout", default=300)) max_timeout = int(get_setting("/exts/omni.kit.test/testExtMaxTimeout", default=0)) self.timeout = self.config.get("timeout", default_timeout) # Clamp timeout if needed if max_timeout > 0 and self.timeout > max_timeout: self.timeout = max_timeout # [[test]] can be marked as unreliable - meaning it will not run any of its tests unless unreliable tests are run self.unreliable = self.config.get("unreliable", self.config.get("flaky", False)) # python tests to include include_tests = list(self.config.get("pythonTests", {}).get("include", [])) exclude_tests = list(self.config.get("pythonTests", {}).get("exclude", [])) unreliable_tests = list(self.config.get("pythonTests", {}).get("unreliable", [])) # When running unreliable tests: # 1. if the [[test]] is set as unreliable run all python tests (override the `unreliable_tests` list) # 2. if running unreliable tests - set unreliable to true and disable sampling if self.unreliable: unreliable_tests = ["*"] self.allow_sampling = False elif unreliable_tests and self.context.run_unreliable_tests != RunExtTests.RELIABLE_ONLY: self.unreliable = True self.allow_sampling = False # Check if we run flaky tests - if we do grab the test list as a playlist if self.context.run_flaky_tests: self.allow_sampling = False query_days = int(get_setting("/exts/omni.kit.test/flakyTestsQueryDays", default=FLAKY_TESTS_QUERY_DAYS)) flaky_test_analyzer = FlakyTestAnalyzer(self.test_id, query_days) if flaky_test_analyzer.should_skip_test(): self.skip = True elif self.config.get("samplingFactor") == SamplingFactor.UPPER_BOUND: pass # if an extension has disabled tests sampling we run all tests else: file = flaky_test_analyzer.generate_playlist() if file: self.args += [f"--/exts/omni.kit.test/runTestsFromFile='{file}'"] def get_python_modules(ext_info: carb.dictionary.Item): python_dict = ext_info.get("python", {}) if isinstance(python_dict, dict): python_modules = python_dict.get("module", []) + python_dict.get("modules", []) for m in python_modules: module = m.get("name") if module: yield module # By default if extension has python modules use them to fill in tests mask. Can be overridden with explicit tests list. # Do that only for pure extensions tests, so that for tests inside an app extensions can opt in add more tests slowly. python_modules_names = [] python_modules_names.extend(get_python_modules(self.ext_info)) if len(include_tests) == 0 and self.test_app.is_empty: include_tests.extend(["{}.*".format(e) for e in python_modules_names]) # Cpp test libraries test_libraries = self.config.get("cppTests", {}).get("libraries", []) test_libraries = [resolve_path(library, ext_path) for library in test_libraries] # If extension has tests -> run python (or cpp) tests, otherwise just do startup test if len(include_tests) > 0 or len(test_libraries) > 0: # We need kit.test as a test runner then self.args += ["--enable", "omni.kit.test"] if ui_mode: self.args += [ "--enable", "omni.kit.window.tests", "--enable", "omni.kit.window.extensions", "--enable", "omni.kit.renderer.core", "--/exts/omni.kit.window.tests/openWindow=1", "--/exts/omni.kit.test/testExtUIMode=1", ] self.timeout = None # No timeout in that case elif print_mode: self.args += ["--/exts/omni.kit.test/printTestsAndQuit=true"] else: self.args += ["--/exts/omni.kit.test/runTestsAndQuit=true"] for i, test_mask in enumerate(include_tests): self.args += [f"--/exts/omni.kit.test/includeTests/{i}='{test_mask}'"] for i, test_mask in enumerate(exclude_tests): self.args += [f"--/exts/omni.kit.test/excludeTests/{i}='{test_mask}'"] for i, test_mask in enumerate(unreliable_tests): self.args += [f"--/exts/omni.kit.test/unreliableTests/{i}='{test_mask}'"] for i, test_library in enumerate(test_libraries): self.args += [f"--/exts/omni.kit.test/testLibraries/{i}='{test_library}'"] else: self.args += ["--/app/quitAfter=10", "--/crashreporter/gatherUserStory=0"] # Reduce output on TC to make log shorter. Mostly that removes long extension startup/shutdown lists. We have # that information in log files attached to artifacts anyway. if is_running_on_ci(): self.args += ["--/app/enableStdoutOutput=0"] # Test filtering (support shorter version) argv = get_argv() filter_value = _parse_arg_shortcut(argv, "-f") if filter_value: self.args += [f"--/exts/omni.kit.test/runTestsFilter='{filter_value}'"] # Pass some args down the line: self.args += _propagate_args(argv, "--portable") self.args += _propagate_args(argv, "--portable-root", True) self.args += _propagate_args(argv, "--allow-root") self.args += _propagate_args(argv, "-d") self.args += _propagate_args(argv, "-v") self.args += _propagate_args(argv, "-vv") self.args += _propagate_args(argv, "--wait-debugger") self.args += _propagate_args(argv, "--/exts/omni.kit.test/runTestsFilter", starts_with=True) self.args += _propagate_args(argv, "--/exts/omni.kit.test/runTestsFromFile", starts_with=True) self.args += _propagate_args(argv, "--/exts/omni.kit.test/testExtRunUnreliableTests", starts_with=True) self.args += _propagate_args(argv, "--/exts/omni.kit.test/doNotQuit", starts_with=True) self.args += _propagate_args(argv, "--/exts/omni.kit.test/parallelRun", starts_with=True) self.args += _propagate_args(argv, "--/telemetry/mode", starts_with=True) self.args += _propagate_args(argv, "--/crashreporter/data/testName", starts_with=True) def is_arg_prefix_present(args, prefix: str): for arg in args: if arg.startswith(prefix): return True return False # make sure to set the telemetry mode to 'test' if it hasn't explicitly been overridden # to something else. This prevents structured log events generated from tests from # unintentionally polluting the telemetry analysis data. if not is_arg_prefix_present(self.args, "--/telemetry/mode"): self.args += ["--/telemetry/mode=test"] # make sure to pass on the test name that was given in the settings if it was not # explicitly given on the command line. if not is_arg_prefix_present(self.args, "--/crashreporter/data/testName"): test_name_setting = get_setting("/crashreporter/data/testName") if test_name_setting != None: self.args += [f"--/crashreporter/data/testName=\"{test_name_setting}\""] # Read default coverage settings default_coverage_settings = read_coverage_collector_settings() # Sets if python test coverage enabled or disabled py_coverage_enabled = self.config.get("pyCoverageEnabled", default_coverage_settings.enabled or coverage_mode) # This must be set explicitly for the child test process: # if the main process gets this setting from the command line and it's different from # values in the configuration files then we must pass it to the child process but # there is no way to know whether or not the value were from the command line so # always set it explicitly for the child process self.args += [f"--/exts/omni.kit.test/pyCoverageEnabled={py_coverage_enabled}"] if py_coverage_enabled: self.allow_sampling = False py_coverage_filter = default_coverage_settings.filter or [] py_coverage_deps_omit = [] # If custom filter is specified, only use that list custom_filter = self.config.get("pyCoverageFilter", None) if custom_filter: py_coverage_filter = custom_filter else: # Append all python modules if self.config.get("pyCoverageIncludeModules", default_coverage_settings.include_modules): for m in python_modules_names: py_coverage_filter.append(m) # Append all python modules from the dependencies dependencies = [ { "setting": "pyCoverageIncludeDependencies", "default": default_coverage_settings.include_dependencies, "config": self.ext_info, }, { "setting": "pyCoverageIncludeTestDependencies", "default": default_coverage_settings.include_test_dependencies, "config": self.config, }, ] for d in dependencies: if not self.config.get(d["setting"], d["default"]): continue deps = d["config"].get("dependencies", []) manager = omni.kit.app.get_app().get_extension_manager() for ext_d in manager.get_extensions(): if ext_d["name"] not in deps: continue ext_info = manager.get_extension_dict(ext_d["id"]) py_coverage_filter.extend(get_python_modules(ext_info)) # also look for omit in dependencies test_info = ext_info.get("test", None) if isinstance(test_info, list) or isinstance(test_info, tuple): for t in test_info: for cov_omit in t.get("pyCoverageOmit", []): cov_omit = cov_omit.replace("\\", "/") if not os.path.isabs(cov_omit) and not cov_omit.startswith("*/"): cov_omit = "*/" + cov_omit py_coverage_deps_omit.append(cov_omit) if len(py_coverage_filter) > 0: for i, cov_filter in enumerate(py_coverage_filter): self.args += [f"--/exts/omni.kit.test/pyCoverageFilter/{i}='{cov_filter}'"] # omit files/path for coverage default_py_coverage_omit = default_coverage_settings.omit or [] py_coverage_omit = list(self.config.get("pyCoverageOmit", default_py_coverage_omit)) py_coverage_omit.extend(py_coverage_deps_omit) if len(py_coverage_omit) > 0: for i, cov_omit in enumerate(py_coverage_omit): cov_omit = cov_omit.replace("\\", "/") if not os.path.isabs(cov_omit) and not cov_omit.startswith("*/"): cov_omit = "*/" + cov_omit self.args += [f"--/exts/omni.kit.test/pyCoverageOmit/{i}='{cov_omit}'"] # in coverage mode we generate a report at the end, need to set the settings on the parent process if coverage_mode: carb.settings.get_settings().set("/exts/omni.kit.test/pyCoverageEnabled", py_coverage_enabled) carb.settings.get_settings().set("/exts/omni.kit.test/testExtGenerateCoverageReport", True) # Extra extensions to run exts_to_enable = [self.ext_id] for ext in self.config.get("dependencies", []): self.args += ["--enable", ext] exts_to_enable.append(ext) # Check if skipped by code change analyzer based on extensions it is about to enable if self.context.change_analyzer: self.change_analyzer_result = self.context.change_analyzer.analyze( self.test_id, self.ext_name, exts_to_enable ) if self.change_analyzer_result.should_skip_test: self.skip = True if not self.context.change_analyzer.allow_sampling(): self.allow_sampling = False # Tests Sampling per extension default_sampling = float( get_setting("/exts/omni.kit.test/testExtSamplingFactor", default=SamplingFactor.UPPER_BOUND) ) sampling_factor = clamp( self.config.get("samplingFactor", default_sampling), SamplingFactor.LOWER_BOUND, SamplingFactor.UPPER_BOUND ) if sampling_factor == SamplingFactor.UPPER_BOUND: self.allow_sampling = False if self.allow_sampling and self._use_tests_sampling(): self.args += [f"--/exts/omni.kit.test/samplingFactor={sampling_factor}"] # tests random order random_order = get_setting("/exts/omni.kit.test/testExtRandomOrder", default=False) if random_order: self.args += ["--/exts/omni.kit.test/testExtRandomOrder=1"] # Test Sampling Seed seed = int(get_setting("/exts/omni.kit.test/testExtSamplingSeed", default=-1)) if seed >= 0: self.args += [f"--/exts/omni.kit.test/testExtSamplingSeed={seed}"] # Extra args self.args += list(get_setting("/exts/omni.kit.test/testExtArgs", default=[])) # Extra args self.args += self.config.get("args", []) # if in ui mode we need to remove --no-window if ui_mode: self.args = [a for a in self.args if a != "--no-window"] # Build fail patterns self.patterns = FailPatterns( self.config.get("stdoutFailPatterns", {}).get("include", []), self.config.get("stdoutFailPatterns", {}).get("exclude", []), ) self.patterns.merge(self.context.shared_patterns) # Pass all unprocessed argv down the line at the very end. They can also have another `--` potentially. unprocessed_argv = get_unprocessed_argv() if unprocessed_argv: self.args += unprocessed_argv # Other settings self.parallelizable = self.config.get("parallelizable", True) def _pre_test_run(self, test_run: int, retry_strategy: RetryStrategy): """Update arguments that must change between each test run""" if test_run > 0: for index, arg in enumerate(self.args): # make sure to use a different log file if we run tests multiple times if arg.startswith("--/log/file="): ts = get_local_timestamp() self.log_file = f"{self.output_path}/{self.app_name}_{ts}_{test_run}.log" self.args[index] = f"--/log/file='{self.log_file}'" # make sure to use a different random seed if present, only valid on some retry strategies if retry_strategy == RetryStrategy.ITERATIONS or retry_strategy == RetryStrategy.RERUN_UNTIL_FAILURE: if arg.startswith("--/exts/omni.kit.test/testExtSamplingSeed="): random_seed = random.randint(0, 2**16) self.args[index] = f"--/exts/omni.kit.test/testExtSamplingSeed={random_seed}" def _use_tests_sampling(self) -> bool: external_build = get_setting("/privacy/externalBuild") if external_build: return False use_sampling = get_setting("/exts/omni.kit.test/useSampling", default=True) if not use_sampling: return False use_sampling = bool(os.getenv("OMNI_KIT_TEST_USE_SAMPLING", default=True)) if not use_sampling: return False sampling_context = get_setting("/exts/omni.kit.test/testExtSamplingContext") if sampling_context == SamplingContext.CI and is_running_on_ci(): return True elif sampling_context == SamplingContext.LOCAL and not is_running_on_ci(): return True return sampling_context == SamplingContext.ANY def get_cmd(self) -> str: return " ".join(self.args) def on_start(self): self.result = ExtTestResult() self.reporter.exttest_start(self.test_id, self.tc_test_id, self.ext_id, self.ext_name) self.stdout.write(BEGIN_SEPARATOR.format(self.test_id)) def on_finish(self, test_result): self.stdout.write(END_SEPARATOR.format("PASSED" if test_result else "FAILED", self.test_id)) self.reporter.exttest_stop(self.test_id, self.tc_test_id, passed=test_result) def on_fail(self, fail_message): # TC service messages can't match failure with a test start message when there are other tests in between. # As a work around in that case stop test and start again (send those messages). That makes it has 2 block # entries in the log, but gets reported as failed correctly. if is_running_in_teamcity(): self.reporter.exttest_stop(self.test_id, self.tc_test_id, report=False) self.reporter.exttest_start(self.test_id, self.tc_test_id, self.ext_id, self.ext_name, report=False) self.reporter.exttest_fail(self.test_id, self.tc_test_id, "Error", fail_message) self.stdout.write(f"{fail_message}\n") def _kill_process_recursive(pid, stream): def _output(msg: str): teamcity_message("message", text=msg) stream.write(msg) def _terminate(proc: psutil.Process): try: proc.terminate() except psutil.AccessDenied as e: _error(stream, f"Access denied: {e}") except psutil.ZombieProcess as e: _error(stream, f"Encountered a zombie process: {e}") except psutil.NoSuchProcess as e: _error(stream, f"Process no longer exists: {e}") except (psutil.Error, Exception) as e: _error(stream, f"An error occurred: {str(e)}") try: process = psutil.Process(pid) # kill all children of test process (if any) for proc in process.children(recursive=True): if crash_process(proc, stream): _output(f"\nTest Process Timed out, crashing child test process to collect callstack, PID: {proc.pid}\n\n") else: _output( f"\nAttempt to crash child test process to collect callstack failed. Killing child test process, PID: {proc.pid}\n\n" ) _terminate(proc) # kill the test process itself if crash_process(process, stream): _output(f"\nTest Process Timed out, crashing test process to collect callstack, PID: {process.pid}\n\n") else: _output( f"\nAttempt to crash test process to collect callstack failed. Killing test process, PID: {process.pid}\n\n" ) _terminate(process) except psutil.NoSuchProcess as e: _error(stream, f"Process no longer exists: {e}") global _asyncio_process_was_terminated _asyncio_process_was_terminated = True PRAGMA_REGEX = re.compile(r"^##omni\.kit\.test\[(.*)\]") def _extract_metadata_pragma(line, metadata): """ Test subprocs can print specially formatted pragmas, that get picked up here as extra fields that get printed into the status report. Pragmas must be at the start of the line, and should be the only thing on that line. Format: ##omni.kit.test[op, key, value] op = operation type, either "set", "append" or "del" (str) key = name of the key (str) value = string value (str) Examples: # set a value ##omni.kit.test[set, foo, this is a message and spaces are allowed] # append a value to a list ##omni.kit.test[append, bah, test-13] """ match = PRAGMA_REGEX.match(line) if not match: return False body = match.groups()[0] args = body.split(",") args = [x.strip() for x in args] if not args: return False op = args[0] args = args[1:] if op in ("set", "append"): if len(args) != 2: return False key, value = args if op == "set": metadata[key] = value elif op == "append": metadata.setdefault(key, []).append(value) elif op == "del": if len(args) != 1: return False key = args[0] del metadata[key] else: return False # unsupported pragma op return True async def _run_test_process(test: ExtTest) -> Tuple[int, List[str], Dict]: """Run test process and read stdout (use PIPE).""" returncode = 0 fail_messages = [] fail_patterns = defaultdict(list) test_run_metadata = {} proc = None try: test.stdout.write(f">>> running process: {test.get_cmd()}\n") _debug(test.stdout, f"fail patterns: {test.patterns}") async def run_proc(): nonlocal proc proc = await asyncio.create_subprocess_exec( *test.args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, bufsize=0, ) async for line in proc.stdout: suppress_line = False line = line.decode(errors="replace").replace("\r\n", "\n").replace("\r", "\n") # Check for failure on certain stdout message (like log errors) nonlocal fail_messages pattern_str, messages, exclude_matched = test.patterns.match_line(line) if pattern_str and messages: fail_patterns[pattern_str].append(messages) # Check for special pragmas printed by the child proc that tell us to add custom # fields to the formatted status report try: if _extract_metadata_pragma(line, test_run_metadata): suppress_line = True except: # noqa pass # grab the number of tests m = re.match(r"(?:Running|Printing All) Tests \(count: (\d+)\)", line, re.M) if m: try: test.result.test_count = int(m.group(1)) except: # noqa pass # replace with some generic message to avoid confusion when people search for [error] etc. if exclude_matched and test.context.trim_excluded_messages: line = "[...line contained error that was excluded by omni.kit.test...]\n" if not suppress_line: test.stdout.write("|| " + line) await proc.wait() nonlocal returncode returncode = proc.returncode proc = None await asyncio.wait_for(run_proc(), timeout=test.timeout) except subprocess.CalledProcessError as e: returncode = e.returncode fail_messages.append(f"subprocess.CalledProcessError was raised: {e.output}") except asyncio.TimeoutError: returncode = 15 fail_messages.append( f"Process timed out (timeout: {test.timeout} seconds), terminating. Check artifacts for .dmp files." ) if proc: _kill_process_recursive(proc.pid, test.stdout) except NotImplementedError as e: fail_messages.append( f"The asyncio loop does not implement subprocess. This is known to happen when using SelectorEventLoop on Windows, exception {e}" ) # loop all pattern matches and put them on top of the fail messages pattern_messages = [] for pattern, messages in fail_patterns.items(): pattern_messages.append(f"Matched {len(messages)} fail pattern '{pattern}' in stdout: ") for msg in messages: pattern_messages.append(f" '{msg}'") fail_messages = pattern_messages + fail_messages # return code failure check. if returncode == 13: # 13 - is code we return when python test fails failing_tests_cnt = max(len(test_run_metadata.get(KEY_FAILING_TESTS, [])), 1) fail_messages.append(f"{failing_tests_cnt} test(s) failed.") elif returncode == 15: # 15 - is code we return when a test process timeout, fail_message already added pass elif returncode != 0: # other return codes usually mean crash fail_messages.append("Process might have crashed or timed out.") # Check if any unittests were started but never completed (crashed/timed out/etc.) # When a test crash the 'stop' message is missing making test results harder to read, add them manually. for key, value in test_run_metadata.items(): if type(value) == str and value.startswith(STARTED_UNITTEST): test_id = key tc_test_id = value.replace(STARTED_UNITTEST, "", 1) test.reporter.unittest_fail( test_id, tc_test_id, "Error", f"Test started but never finished, test: {tc_test_id}. Test likely crashed or timed out.", ) test.reporter.unittest_stop(test_id, tc_test_id) return (returncode, fail_messages, test_run_metadata) def _propagate_args(argv, arg_name, has_value=False, starts_with=False): args = [] for i, arg in enumerate(argv): if arg == arg_name or (starts_with and arg.startswith(arg_name)): args += [arg] if has_value: args += [argv[i + 1]] return args def _parse_arg_shortcut(argv, arg_name): for i, arg in enumerate(argv): if arg == arg_name: return argv[i + 1] return None def _get_test_configs_for_ext(ext_info, name_filter=None) -> List[Dict]: test_config = ext_info.get("test", None) configs = [] if not test_config: # no [[test]] entry configs.append({}) elif isinstance(test_config, dict): # [test] entry configs.append(test_config) elif isinstance(test_config, list) or isinstance(test_config, tuple): # [[test]] entry if len(test_config) == 0: configs.append({}) else: configs.extend(test_config) # Filter those matching the name filter configs = [t for t in configs if not name_filter or match(t.get("name", DEFAULT_TEST_NAME), [name_filter])] # Filter out disabled configs = [t for t in configs if t.get("enabled", True)] return configs def is_matching_list(ext_id, ext_name, ext_list): return any(fnmatch.fnmatch(ext_id, p) or fnmatch.fnmatch(ext_name, p) for p in ext_list) def _build_exts_set(exts: List[str], exclude: List[str], use_registry: bool, match_version_as_string: bool) -> Set[str]: manager = omni.kit.app.get_app().get_extension_manager() all_exts = manager.get_extensions() if use_registry: manager.sync_registry() all_exts += manager.get_registry_extensions() def is_match_ext(ext_id, ext_name, ext_def): return (fnmatch.fnmatch(ext_id, ext_def) or fnmatch.fnmatch(ext_name, ext_def)) and not is_matching_list( ext_id, ext_name, exclude ) exts_to_test = set() for ext_def in exts: # Empty string is same as "all" if ext_def == "": ext_def = "*" # If wildcard is used, match all if "*" in ext_def: exts_to_test.update([e["id"] for e in all_exts if is_match_ext(e["id"], e["name"], ext_def)]) else: # Otherwise use extension manager to get matching version and pick highest one (they are sorted) ext_ids = [v["id"] for v in manager.fetch_extension_versions(ext_def)] if match_version_as_string: ext_ids = [v for v in ext_ids if v.startswith(ext_def)] # Take highest version, but if we are not using registry skip remote local one: for ext_id in ext_ids: if use_registry or manager.get_extension_dict(ext_id) is not None: exts_to_test.add(ext_id) break return sorted(exts_to_test) def _format_cmdline(cmdline: str) -> str: """Format commandline printed from CI so that we can run it locally""" cmdline = cmdline.replace("\\", "/").replace("//", "/") if is_running_on_ci(): exe_path = cmdline.split(" ")[0] index = exe_path.find("/_build/") if index != -1: path_to_remove = exe_path[:index] cmdline = ( cmdline.replace(path_to_remove, ".") .replace(path_to_remove.lower(), ".") .replace(path_to_remove.replace("/", "\\"), ".") ) return cmdline def _get_test_cmdline(ext_name: str, failed_tests: list = []) -> list: """Return an example cmdline to run extension tests or a single unittest""" cmdline = [] try: shell_ext = carb.tokens.get_tokens_interface().resolve("${shell_ext}") kit_exe = carb.tokens.get_tokens_interface().resolve("${kit}") path_to_kit = _format_cmdline(os.path.relpath(kit_exe, os.getcwd())) if not path_to_kit.startswith("./"): path_to_kit = f"./{path_to_kit}" test_file = f"{path_to_kit}/tests-{ext_name}{shell_ext}" if failed_tests: test_name = failed_tests[0].rsplit(".")[-1] cmdline.append(f" Cmdline to run a single unittest: {test_file} -f *{test_name}") cmdline.append(f" Cmdline to run the extension tests: {test_file}") except: # noqa pass return cmdline async def gather_with_concurrency(n, *tasks): semaphore = asyncio.Semaphore(n) async def sem_task(task): async with semaphore: return await task return await asyncio.gather(*(sem_task(task) for task in tasks)) async def run_serial_and_parallel_tasks(parallel_tasks, serial_tasks, max_parallel_tasks: int): for r in serial_tasks: yield await r for r in await gather_with_concurrency(max_parallel_tasks, *parallel_tasks): yield r async def _run_ext_test(run_context: TestRunContext, test: ExtTest, on_status_report_fn): def _print_info(mode: str, result_str: str = None): if result_str is None: result_str = "succeeded" if test.result.passed else "failed" print(f"{test.test_id} test {result_str} ({mode} {test_run + 1} out of {run_context.max_test_run})") teamcity_test_retry_support(run_context.retry_strategy == RetryStrategy.RETRY_ON_FAILURE) # Allow retrying tests multiple times: for test_run in range(run_context.max_test_run): is_last_try = (test_run == run_context.max_test_run - 1) or ( run_context.retry_strategy == RetryStrategy.NO_RETRY ) retry_failed_tests = run_context.retry_strategy == RetryStrategy.RETRY_ON_FAILURE test._pre_test_run(test_run, run_context.retry_strategy) test = await _run_ext_test_once(test, on_status_report_fn, is_last_try, retry_failed_tests) # depending on the retry strategy we might continue or exit the loop if run_context.retry_strategy == RetryStrategy.NO_RETRY: # max_test_run is ignored in no-retry strategy break elif run_context.retry_strategy == RetryStrategy.RETRY_ON_FAILURE: # retry on failure - stop at first success otherwise continue result_str = "succeeded" if not test.result.passed: result_str = "failed" if is_last_try else "failed, retrying..." _print_info("attempt", result_str) if test.result.passed: break else: test.retries += 1 elif run_context.retry_strategy == RetryStrategy.ITERATIONS: # iterations - continue until the end _print_info("iteration") elif run_context.retry_strategy == RetryStrategy.RERUN_UNTIL_FAILURE: # rerun until failure - stop at first failure otherwise continue _print_info("rerun") if not test.result.passed: break else: _error(sys.stderr, f"Invalid retry strategy '{run_context.retry_strategy}'") return test async def _run_ext_test_once(test: ExtTest, on_status_report_fn, is_last_try: bool, retry_failed_tests: bool): ext = test.ext_id if on_status_report_fn: on_status_report_fn(test.test_id, TestRunStatus.RUNNING) # Starting test test.on_start() err_messages = [] metadata = {} cmd = "" returncode = 0 if test.valid: cmd = test.get_cmd() # Run process start_time = time.time() returncode, err_messages, metadata = await _run_test_process(test) test.result.duration = round(time.time() - start_time, 2) else: err_messages.append(f"Failed to run process for extension testing (ext: {ext}).") if test.unreliable: test.result.unreliable = 1 # Grab failed tests test.failed_tests = list(metadata.pop(KEY_FAILING_TESTS, [])) for key, value in list(metadata.items()): if type(value) == str and value.startswith(STARTED_UNITTEST): test_id = key test.failed_tests.append(test_id + " (started but never finished)") del metadata[key] if retry_failed_tests: # remove failed tests from previous run if any test.args = [item for item in test.args if not item.startswith("--/exts/omni.kit.test/retryFailedTests")] # Only retry failed tests if all conditions are met: # - retry-on-failure strategy selected # - metadata with failing tests is present # - extension tests reported failures but no crash (return code 13) # - at least on retry left to do (ie: not last retry) if test.failed_tests and returncode == 13 and not is_last_try: # add new failed tests as args for the next run for i, test_id in enumerate(test.failed_tests): test.args.append(f"--/exts/omni.kit.test/retryFailedTests/{i}='{test_id}'") # Report failure and mark overall run as failure test.result.passed = True if len(err_messages) > 0: spaces_8 = " " * 8 spaces_12 = " " * 12 messages_str = f"\n{spaces_8}".join([""] + err_messages) fail_message_lines = [ "", "[fail] Extension Test failed. Details:", f" Cmdline: {_format_cmdline(cmd)}", ] fail_message_lines += _get_test_cmdline(test.ext_name, test.failed_tests) fail_message_lines += [ f" Return code: {returncode} ({returncode & (2**31-1):#010x})", f" Failure reason(s): {messages_str}", ] details_message_lines = [" Details:"] if metadata: details_message_lines.append(f"{spaces_8}Metadata:") for key, value in sorted(metadata.items()): details_message_lines.append(f"{spaces_12}{key}: {value}") if test.failed_tests: messages_str = f"\n{spaces_12}".join([""] + test.failed_tests) details_message_lines.append(f"{spaces_8}{KEY_FAILING_TESTS}: {messages_str}") if not omni.kit.app.get_app().is_app_external(): url = f"http://omnitests.nvidia.com/?query={test.test_id}" details_message_lines.append(f"{spaces_8}Test history:") details_message_lines.append(f"{spaces_12}{url}") fail_message = "\n".join(fail_message_lines + details_message_lines) test.result.passed = False if test.unreliable: test.result.unreliable_fail = 1 test.stdout.write("[fail] Extension test failed, but marked as unreliable.\n") else: test.result.fail = 1 test.stdout.write("[fail] Extension test failed.\n") if is_last_try: test.on_fail(fail_message) if on_status_report_fn: on_status_report_fn(test.test_id, TestRunStatus.FAILED, fail_message=fail_message, ext_test=test) else: test.stdout.write("[ ok ] Extension test passed.\n") test.on_finish(test.result.passed) if test.result.passed and on_status_report_fn: on_status_report_fn(test.test_id, TestRunStatus.PASSED, ext_test=test) # dump stdout, acts as stdout sync point for parallel run if test.stdout != sys.stdout: if test.context.trim_stdout_on_success and test.result.passed: for line in test.stdout.getvalue().splitlines(): # We still want to print all service messages to correctly output number of tests on TC and all that. if "##teamcity[" in line: sys.stdout.write(line) sys.stdout.write("\n") sys.stdout.write( f"[omni.kit.test] Stdout was trimmed. Look for the Kit log file '{test.log_file}' in TC artifacts for the full output.\n" ) else: sys.stdout.write(test.stdout.getvalue()) sys.stdout.flush() # reset test.stdout (io.StringIO) test.stdout.truncate(0) test.stdout.seek(0) return test def _build_test_id(test_type: str, ext: str, app: str = "", test_name: str = "") -> str: s = "" if test_type: s += f"{test_type}:" s += ext_id_to_fullname(ext) if test_name and test_name != DEFAULT_TEST_NAME: s += f"-{test_name}" if app: s += f"_app:{app}" return s async def _run_ext_tests(exts, on_status_report_fn, exclude_exts, only_list=False) -> bool: run_context = TestRunContext() use_registry = get_setting("/exts/omni.kit.test/testExtUseRegistry", default=False) match_version_as_string = get_setting("/exts/omni.kit.test/testExtMatchVersionAsString", default=False) test_type = get_setting("/exts/omni.kit.test/testExtTestType", default="exttest") # Test Name filtering (support shorter version) test_name_filter = _parse_arg_shortcut(get_argv(), "-n") if not test_name_filter: test_name_filter = get_setting("/exts/omni.kit.test/testExtTestNameFilter", default="") max_parallel_procs = int(get_setting("/exts/omni.kit.test/testExtMaxParallelProcesses", default=-1)) if max_parallel_procs <= 0: max_parallel_procs = multiprocessing.cpu_count() exts_to_test = _build_exts_set(exts, exclude_exts, use_registry, match_version_as_string) # Prepare an app: test_app = TestApp(sys.stdout) def fail_all(fail_message): reporter = TestReporter(sys.stdout) for ext in exts: message = fail_message.format(ext) test_id = _build_test_id(test_type, ext, test_app.name) tc_test_id = test_id.replace(".", "+") + ".[PROCESS CHECK]" _error(sys.stderr, message) # add start / fail / stop messages for TC + our own reporter reporter.exttest_start(test_id, tc_test_id, ext, ext) reporter.exttest_fail(test_id, tc_test_id, fail_type="Error", fail_message=message) reporter.exttest_stop(test_id, tc_test_id, passed=False) if on_status_report_fn: on_status_report_fn(test_id, TestRunStatus.FAILED, fail_message=message) # If no extensions found report query entries as failures if len(exts_to_test) == 0: fail_all("Can't find any extension matching: '{0}'.") # If no app found report query entries as failures if not test_app.path: fail_all(f"Can't find app: {test_app.name}") exts_to_test = [] # Prepare test run tasks, put into separate serial and parallel queues parallel_tasks = [] serial_tasks = [] is_parallel_run = max_parallel_procs > 1 and len(exts_to_test) > 1 exts_issues = [] total = 0 for ext in exts_to_test: ext_info = _prepare_ext_for_testing(ext) if ext_info: test_configs = _get_test_configs_for_ext(ext_info, test_name_filter) unique_test_names = set() for test_config in test_configs: valid = True test_name = test_config.get("name", DEFAULT_TEST_NAME) if test_name in unique_test_names: _error( sys.stderr, f"Extension {ext} has multiple [[test]] entry with the same 'name' attribute. It should be unique, default is '{DEFAULT_TEST_NAME}'", ) valid = False else: unique_test_names.add(test_name) total += 1 # Build test id. test_id = _build_test_id(test_type, ext, test_app.name, test_name) if only_list: print(f"test_id: '{test_id}'") continue test = ExtTest( ext, ext_info, test_config, test_id, is_parallel_run, run_context=run_context, test_app=test_app, valid=valid, ) # fmt: off # both means we run all tests (reliable and unreliable) # otherwise we either run reliable tests only or unreliable tests only, so we skip accordingly if run_context.run_unreliable_tests != RunExtTests.BOTH and int(run_context.run_unreliable_tests) != int(test.unreliable): test_unreliable = "unreliable" if test.unreliable else "reliable" run_unreliable = "unreliable" if run_context.run_unreliable_tests == RunExtTests.UNRELIABLE_ONLY else "reliable" print(f"[INFO] {test_id} skipped because it's marked as {test_unreliable} and we currently run all {run_unreliable} tests") total -= 1 continue # fmt: on # Test skipped itself? (it should have explained it already by now) if test.skip: total -= 1 continue # A single test may be invoked in more than one way, gather them all from .ext_test_generator import get_tests_to_run for test_instance in get_tests_to_run(test, ExtTest, run_context, is_parallel_run, valid): task = _run_ext_test(run_context, test_instance, on_status_report_fn) if test_instance.parallelizable: parallel_tasks.append(task) else: serial_tasks.append(task) else: exts_issues.append(ext) intro = f"Running {total} Extension Test Process(es)." if run_context.run_unreliable_tests == RunExtTests.UNRELIABLE_ONLY: intro = "[Unreliable Tests Run] " + intro print(intro) # Actual test run: finished_tests: List[ExtTest] = [] fail_count = 0 unreliable_fail_count = 0 unreliable_total = 0 async for test in run_serial_and_parallel_tasks(parallel_tasks, serial_tasks, max_parallel_procs): unreliable_total += test.result.unreliable unreliable_fail_count += test.result.unreliable_fail fail_count += test.result.fail finished_tests.append(test) if only_list: print(f"Found {total} tests processes to run.") return True return_result = True def generate_summary(): for test in finished_tests: if test.result.passed: if test.retries > 0: res_str = "[retry ok]" else: res_str = "[ ok ]" else: res_str = "[ fail ]" if test.result.unreliable: res_str += " [unreliable]" res_str += f" [{test.result.duration:5.1f}s]" res_str += f" {test.test_id}" res_str += f" (Count: {test.result.test_count})" yield f"{res_str}" for ext in exts_issues: res_str = f"[ fail ] {ext} (extension registry issue)" yield f"{res_str}" def get_failed_tests(): all_failed_tests = [t for test in finished_tests for t in test.failed_tests] if all_failed_tests: yield f"\nFailing tests (Count: {len(all_failed_tests)}) :" for test_name in all_failed_tests: yield f" - {test_name}" # Print summary test_results_file = os.path.join(run_context.output_path, "ext_test_results.txt") with open(test_results_file, "a") as f: def report(line): print(line) f.write(line + "\n") report("\n") report("=" * 60) report(f"Extension Tests Run Summary (Date: {run_context.start_ts})") report("=" * 60) report(" app: {}".format(test_app.name if not test_app.is_empty else "[empty]")) report(f" retry strategy: {run_context.retry_strategy}," f" max test run: {run_context.max_test_run}") report("=" * 60) for line in generate_summary(): report(line) for line in get_failed_tests(): report(line) report("=" * 60) report("=" * 60) if unreliable_total > 0: report( f"UNRELIABLE TESTS REPORT: {unreliable_fail_count} unreliable tests processes failed out of {unreliable_total}." ) # Exit with non-zero code on failure if fail_count > 0 or len(exts_issues) > 0: if fail_count > 0: report(f"[ERROR] {fail_count} tests processes failed out of {total}.") if len(exts_issues) > 0: report(f"[ERROR] {len(exts_issues)} extension registry issue.") return_result = False else: report(f"[OK] All {total} tests processes returned 0.") # Report all results for test in finished_tests: test.reporter.report_result(test) return return_result def run_ext_tests(test_exts, on_finish_fn=None, on_status_report_fn=None, exclude_exts=[]): def on_status_report(*args, **kwargs): if on_status_report_fn: on_status_report_fn(*args, **kwargs) _test_status_report(*args, **kwargs) async def run(): result = await _run_ext_tests(test_exts, on_status_report, exclude_exts) if on_finish_fn: on_finish_fn(result) return asyncio.ensure_future(run()) def shutdown_ext_tests(): # When running extension tests and killing the process after timeout, asyncio hangs somewhere in python shutdown. # Explicitly closing event loop here helps with that. if _asyncio_process_was_terminated: def exception_handler(_, exc): print(f"Asyncio exception on shutdown: {exc}") asyncio.get_event_loop().set_exception_handler(exception_handler) asyncio.get_event_loop().close()
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/code_change_analyzer.py
import json import os import omni.kit.app import logging from typing import List from .repo_test_context import RepoTestContext from .utils import sha1_path, sha1_list, get_global_test_output_path logger = logging.getLogger(__name__) KNOWN_EXT_SOURCE_PATH = ["kit/source/extensions/", "source/extensions/"] # We know for sure that this hash changes all the time and used in many many tests, don't want it to mess with our logic for now STARTUP_SEQUENCE_EXCLUDE = ["omni.rtx.shadercache.d3d12", "omni.rtx.shadercache.vulkan"] def _get_extension_hash(path): path = os.path.normpath(path) hash_cache_file = f"{get_global_test_output_path()}/exts_hash.json" ext_hashes = {} # cache hash calculation in a file to speed up things (it's slow) try: with open(hash_cache_file, "r") as f: ext_hashes = json.load(f) except FileNotFoundError: pass except Exception as e: logger.warn(f"Failed to load extension hashes from {hash_cache_file}, error: {e}") ext_hash = ext_hashes.get(path, None) if ext_hash: return ext_hash ext_hash = sha1_path(path) # read from file again in case it changed while calculating hash (parallel run) to update try: with open(hash_cache_file, "r") as f: ext_hashes = json.load(f) except FileNotFoundError: pass except Exception as e: logger.warn(f"Failed to load extension hashes from {hash_cache_file}, error: {e}") ext_hashes[path] = ext_hash with open(hash_cache_file, "w") as f: json.dump(ext_hashes, f) return ext_hash def _get_extension_name_for_file(file): for path in KNOWN_EXT_SOURCE_PATH: if file.startswith(path): ext = file[len(path) :].split("/")[0] return ext return None def _print(str, *argv): print(f"[omni.kit.test.code_change_analyzer] {str}", *argv) class ChangeAnalyzerResult: def __init__(self): self.should_skip_test = False self.startup_sequence = [] self.startup_sequence_hash = "" self.tested_ext_hash = "" self.kernel_version = "" class CodeChangeAnalyzer: """repo_test can provide (if in MR and on TC) with a list of changed files using env var. Check if changed ONLY extensions. If any change is not in `source/extensions` -> run all tests If changed ONLY extensions than for each test solve list of ALL enabled extensions and check against that list. """ def __init__(self, repo_test_context: RepoTestContext): self._allow_sampling = True self._allow_skipping = False self._changed_extensions = self._gather_changed_extensions(repo_test_context) def _gather_changed_extensions(self, repo_test_context: RepoTestContext): data = repo_test_context.get() if data: changed_files = data.get("changed_files", []) if changed_files: self._allow_skipping = True changed_extensions = set() for file in changed_files: ext = _get_extension_name_for_file(file) if ext: logger.info(f"Changed path: {file} is an extension: {ext}") changed_extensions.add(ext) elif self._allow_skipping: _print("All tests will run. At least one changed file is not in an extension:", file) self._allow_skipping = False self._allow_sampling = False if self._allow_skipping: ext_list_str = "\n".join(("\t - " + e for e in changed_extensions)) _print(f"Only tests that use those extensions will run. Changed extensions:\n{ext_list_str}") return changed_extensions logger.info("No changed files provided") return set() def get_changed_extensions(self) -> List[str]: return list(self._changed_extensions) def allow_sampling(self) -> bool: return self._allow_sampling def _build_startup_sequence(self, result: ChangeAnalyzerResult, ext_name: str, exts: List): result.kernel_version = omni.kit.app.get_app().get_kernel_version() result.startup_sequence = [("kernel", result.kernel_version)] for ext in exts: if ext["name"] in STARTUP_SEQUENCE_EXCLUDE: continue path = ext.get("path", None) if path: hash = _get_extension_hash(path) result.startup_sequence.append((ext["name"], hash)) if ext["name"] == ext_name: result.tested_ext_hash = hash # Hash whole startup sequence result.startup_sequence_hash = sha1_list([hash for ext, hash in result.startup_sequence]) def analyze(self, test_id: str, ext_name: str, exts_to_enable: List[str]) -> ChangeAnalyzerResult: result = ChangeAnalyzerResult() result.should_skip_test = False # Ask manager for extension startup sequence manager = omni.kit.app.get_app().get_extension_manager() solve_result, exts, err = manager.solve_extensions( exts_to_enable, add_enabled=False, return_only_disabled=False ) if not solve_result: logger.warn(f"Failed to solve dependencies for extension(s): {exts_to_enable}, error: {err}") return result # Build hashes for a startup sequence self._build_startup_sequence(result, ext_name, exts) if not self._allow_skipping: return result if not self._changed_extensions: return result for ext in exts: if ext["name"] in self._changed_extensions: _print(f"{test_id} test will run because it uses the changed extension:", ext["name"]) self._allow_sampling = False return result _print( f"{test_id} skipped by code change analyzer. Extensions enabled in this tests were not changed in this MR." ) result.should_skip_test = True return result
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/gitlab.py
import os from functools import lru_cache # GitLab CI/CD variables : # https://docs.gitlab.com/ee/ci/variables/predefined_variables.html @lru_cache() def is_running_in_gitlab(): return bool(os.getenv("GITLAB_CI")) @lru_cache() def get_gitlab_build_url() -> str: return os.getenv("CI_PIPELINE_URL") or ""
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/test_reporter.py
from pathlib import Path import omni.kit.test from ..reporter import _calculate_durations, _load_report_data, _load_coverage_results, _generate_html_report CURRENT_PATH = Path(__file__).parent DATA_TESTS_PATH = CURRENT_PATH.parent.parent.parent.parent.joinpath("data/tests") class TestReporter(omni.kit.test.AsyncTestCase): async def test_success_report_data(self): """ omni_kit_test_success_report.jsonl contains the report.jsonl of a successful run testing omni.kit.test """ path = DATA_TESTS_PATH.joinpath("omni_kit_test_success_report.jsonl") report_data = _load_report_data(path) self.assertEqual(len(report_data), 11) result = report_data[10] test_result = result.get("result", None) self.assertNotEqual(test_result, None) # make sure durations are good _calculate_durations(report_data) startup_duration = test_result["startup_duration"] tests_duration = test_result["tests_duration"] self.assertAlmostEqual(startup_duration, 1.040, places=3) self.assertAlmostEqual(tests_duration, 0.007, places=3) # make sure our ratio are good duration = test_result["duration"] startup_ratio = test_result["startup_ratio"] tests_ratio = test_result["tests_ratio"] self.assertAlmostEqual(startup_ratio, 100 * (startup_duration / duration), places=3) self.assertAlmostEqual(tests_ratio, 100 * (tests_duration / duration), places=3) async def test_fail_report_data(self): """ omni_kit_test_fail_report.jsonl contains the report.jsonl of a failed run of testing omni.kit.test with a few failed tests and also a test that crash """ path = DATA_TESTS_PATH.joinpath("omni_kit_test_fail_report.jsonl") report_data = _load_report_data(path) self.assertEqual(len(report_data), 18) result = report_data[17] test_result = result.get("result", None) self.assertNotEqual(test_result, None) # make sure durations are good _calculate_durations(report_data) startup_duration = test_result["startup_duration"] tests_duration = test_result["tests_duration"] self.assertAlmostEqual(startup_duration, 0.950, places=3) self.assertAlmostEqual(tests_duration, 0.006, places=3) # make sure our ratio are good duration = test_result["duration"] startup_ratio = test_result["startup_ratio"] tests_ratio = test_result["tests_ratio"] self.assertAlmostEqual(startup_ratio, 100 * (startup_duration / duration), places=3) self.assertAlmostEqual(tests_ratio, 100 * (tests_duration / duration), places=3) async def test_html_report(self): path = DATA_TESTS_PATH.joinpath("omni_kit_test_success_report.jsonl") report_data = _load_report_data(path) _calculate_durations(report_data) merged_results, _ = _load_coverage_results(report_data, read_coverage=False) html = _generate_html_report(report_data, merged_results) # total duration is 1.32 seconds, in the hmtl report we keep 1 decimal so it will be shown as 1.3 self.assertTrue(html.find("<td>1.3</td>") != -1) # startup duration will be 78.8 % self.assertTrue(html.find("<td>78.8</td>") != -1)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/test_kit_test.py
import unittest import carb import omni.kit.app import omni.kit.test # uncomment for dev work # import unittest class TestKitTest(omni.kit.test.AsyncTestCase): async def test_test_settings(self): # See [[test]] section carb.log_error("This message will not fail the test because it is excluded in [[test]]") self.assertEqual(carb.settings.get_settings().get("/extra_arg_passed/param"), 123) async def test_test_other_settings(self): self.assertEqual(carb.settings.get_settings().get("/extra_arg_passed/param"), 456) async def test_that_is_excluded(self): self.fail("Should not be called") async def test_get_test(self): if any("test_that_is_unreliable" in t.id() for t in omni.kit.test.get_tests()): self.skipTest("Skipping if test_that_is_unreliable ran") self.assertSetEqual( {t.id() for t in omni.kit.test.get_tests()}, set( [ "omni.kit.test.tests.test_kit_test.TestKitTest.test_are_async", "omni.kit.test.tests.test_kit_test.TestKitTest.test_can_be_skipped_1", "omni.kit.test.tests.test_kit_test.TestKitTest.test_can_be_skipped_2", "omni.kit.test.tests.test_kit_test.TestKitTest.test_can_be_sync", "omni.kit.test.tests.test_kit_test.TestKitTest.test_get_test", "omni.kit.test.tests.test_kit_test.TestKitTest.test_test_settings", "omni.kit.test.tests.test_kit_test.TestKitTest.test_with_metadata", "omni.kit.test.tests.test_kit_test.TestKitTest.test_with_subtest", "omni.kit.test.tests.test_lookups.TestLookups.test_lookups", "omni.kit.test.tests.test_nvdf.TestNVDF.test_convert_advanced_types", "omni.kit.test.tests.test_nvdf.TestNVDF.test_convert_basic_types", "omni.kit.test.tests.test_nvdf.TestNVDF.test_convert_reserved_types", "omni.kit.test.tests.test_reporter.TestReporter.test_fail_report_data", "omni.kit.test.tests.test_reporter.TestReporter.test_html_report", "omni.kit.test.tests.test_reporter.TestReporter.test_success_report_data", "omni.kit.test.tests.test_sampling.TestSampling.test_sampling_factor_one", "omni.kit.test.tests.test_sampling.TestSampling.test_sampling_factor_point_five", "omni.kit.test.tests.test_sampling.TestSampling.test_sampling_factor_zero", "omni.kit.test.tests.test_sampling.TestSampling.test_with_fake_nvdf_query", ] ), ) self.assertListEqual( [t.id() for t in omni.kit.test.get_tests(tests_filter="test_settings")], [ "omni.kit.test.tests.test_kit_test.TestKitTest.test_test_settings", ], ) async def test_are_async(self): app = omni.kit.app.get_app() update = app.get_update_number() await app.next_update_async() self.assertEqual(app.get_update_number(), update + 1) def test_can_be_sync(self): self.assertTrue(True) @unittest.skip("Skip test with @unittest.skip") async def test_can_be_skipped_1(self): self.assertTrue(False) async def test_can_be_skipped_2(self): self.skipTest("Skip test with self.skipTest") self.assertTrue(False) # subTest will get fixes in python 3.11, see https://bugs.python.org/issue25894 async def test_with_subtest(self): with self.subTest(msg="subtest example"): self.assertTrue(True) async def test_with_metadata(self): """This is an example to use metadata""" print("##omni.kit.test[set, my_key, This line will be printed if the test fails]") self.assertTrue(True) async def test_that_is_unreliable(self): """This test will not run unless we run unreliable tests""" self.assertTrue(True) # we don't make it fail when running unreliable tests # Development tests - uncomment when doing dev work to test all ways a test can succeed / fail # async def test_success(self): # self.assertTrue(True) # async def test_fail_1(self): # self.assertTrue(False) # async def test_fail_2(self): # raise Exception("fuff") # self.assertTrue(False) # will crash with stack overflow # async def test_fail_3(self): # __import__("sys").setrecursionlimit(100000000) # def crash(): # crash() # crash()
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/test_nvdf.py
import omni.kit.test from ..nvdf import remove_nvdf_form, to_nvdf_form class TestNVDF(omni.kit.test.AsyncTestCase): async def test_convert_basic_types(self): d = { "some_boolean": True, "some_int": -123, "some_float": 0.001, "array_of_string": ["a", "b"], } nv = to_nvdf_form(d) self.assertDictEqual( nv, {"b_some_boolean": True, "l_some_int": -123, "d_some_float": 0.001, "s_array_of_string": ["a", "b"]} ) r = remove_nvdf_form(nv) self.assertDictEqual(d, r) async def test_convert_advanced_types(self): class myClass: def __init__(self, int_value: int, float_value: float) -> None: self.cl_int: int = int_value self.cl_float: float = float_value m = myClass(12, 0.1) d = { "some_list": [3, 4], "some_tuple": (1, 2), "some_class": m, } nv = to_nvdf_form(d) self.assertDictEqual( nv, {"l_some_list": [3, 4], "l_some_tuple": (1, 2), "some_class": {"l_cl_int": 12, "d_cl_float": 0.1}} ) d["some_class"] = m.__dict__ r = remove_nvdf_form(nv) self.assertDictEqual(d, r) async def test_convert_reserved_types(self): d = { "ts_anything": 2992929, "ts_created": 56555, "_id": 69988, } nv = to_nvdf_form(d) self.assertDictEqual( nv, {"ts_anything": 2992929, "ts_created": 56555, "_id": 69988} ) r = remove_nvdf_form(nv) self.assertDictEqual(d, r)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/__init__.py
from .test_kit_test import * from .test_lookups import * from .test_nvdf import * from .test_reporter import * from .test_sampling import *
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/test_lookups.py
"""Test the functionality used by the test runner.""" import omni.kit.app import omni.kit.test class TestLookups(omni.kit.test.AsyncTestCase): async def test_lookups(self): """Oddly self-referencing test that uses the test runner test lookup utility to confirm that the utility finds this test. """ manager = omni.kit.app.get_app().get_extension_manager() my_extension_id = manager.get_enabled_extension_id("omni.kit.test") module_map = omni.kit.test.get_module_to_extension_map() self.assertTrue("omni.kit.test" in module_map) extension_info = module_map["omni.kit.test"] self.assertEqual((my_extension_id, True), extension_info) this_test_info = omni.kit.test.extension_from_test_name("omni.kit.test.TestLookups.test_lookups", module_map) self.assertIsNotNone(this_test_info) this_test_info_no_module = tuple(e for i, e in enumerate(this_test_info) if i != 2) self.assertEqual((my_extension_id, True, False), this_test_info_no_module)
omniverse-code/kit/exts/omni.kit.test/omni/kit/test/tests/test_sampling.py
import urllib.error from contextlib import suppress import omni.kit.test from ..nvdf import get_app_info from ..sampling import Sampling class TestSampling(omni.kit.test.AsyncTestCase): def setUp(self): self.sampling = Sampling(get_app_info()) self.unittests = ["test_one", "test_two", "test_three", "test_four"] async def test_sampling_factor_zero(self): self.sampling.run_query("omni.foo", self.unittests, running_on_ci=False) samples = self.sampling.get_tests_to_skip(0.0) # will return the same list but with a different order self.assertEqual(len(samples), len(self.unittests)) async def test_sampling_factor_one(self): self.sampling.run_query("omni.foo", self.unittests, running_on_ci=False) samples = self.sampling.get_tests_to_skip(1.0) self.assertListEqual(samples, []) async def test_sampling_factor_point_five(self): self.sampling.run_query("omni.foo", self.unittests, running_on_ci=False) samples = self.sampling.get_tests_to_skip(0.5) self.assertEqual(len(samples), len(self.unittests) / 2) async def test_with_fake_nvdf_query(self): with suppress(urllib.error.URLError): self.sampling.run_query("omni.foo", self.unittests, running_on_ci=True) samples = self.sampling.get_tests_to_skip(0.5) if self.sampling.query_result is True: self.assertEqual(len(samples), len(self.unittests) / 2) else: self.assertListEqual(samples, [])
omniverse-code/kit/exts/omni.kit.test/omni/kit/omni_test_registry/__init__.py
__copyright__ = " Copyright (c) 2022-2022, NVIDIA CORPORATION. All rights reserved." __license__ = """ NVIDIA CORPORATION and its licensors retain all intellectual property and proprietary rights in and to this software, related documentation and any modifications thereto. Any use, reproduction, disclosure or distribution of this software and related documentation without an express license agreement from NVIDIA CORPORATION is strictly prohibited. """ from .omni_test_registry import omni_test_registry
omniverse-code/kit/exts/omni.kit.test/omni/kit/omni_test_registry/omni_test_registry.py
def omni_test_registry(*args, **kwargs): """ The decorator for Python tests. NOTE: currently passing in the test uuid as a kwarg 'guid' """ def decorator(func): func.guid = kwargs.get("guid", None) return func return decorator
omniverse-code/kit/exts/omni.kit.test/docs/omni_test_registry.rst
:orphan: .. _omni.kit.omni_test_registry: omni.kit.omni_test_registry ########################### This extension pulls in the `repo_test GUID decorator <https://gitlab-master.nvidia.com/omniverse/repo/repo_test/-/tree/main/omni/repo/test/guid>` via the `omniverse_test packman package <http://packman.ov.nvidia.com/packages/omniverse_test>` that enables the tagging of tests with GUID metadata. This GUID is then used for tracking tests through renames and relocations. It is imported in all Python unittest test modules that use omni.kit.test, and the decorator is applied to test methods/functions with a GUID: .. code:: python import omni.kit.test def test_itelemetry_generic_events(): """Test name + GUID pulled from omni.kit.telemetry for example. """ pass **Issues?** Please reach out to @rafal karp or @chris morrell on Slack, or visit the #ct-omni-repoman Slack channel.
omniverse-code/kit/exts/omni.kit.test/docs/index.rst
omni.kit.test ########################### Python asyncio-centric testing system. To create a test derive from :class:`omni.kit.test.AsyncTestCase` and add a method that starts with ``test_``, like in :mod:`unittest`. Method can be either async or regular one. .. code:: python import omni.kit.test class MyTest(omni.kit.test.AsyncTestCase): async def setUp(self): pass async def tearDown(self): pass # Actual test, notice it is "async" function, so "await" can be used if needed async def test_hello(self): self.assertEqual(10, 10) Test class must be defined in "tests" submodule of your public extension module. For example if your ``extension.toml`` defines: .. code:: toml [[python.module]] name = "omni.foo" ``omni.foo.tests.MyTest`` should be a path to your test. Test system will automatically discover and import ``omni.foo.tests`` module. Using ``tests`` submodule of your extension module is a recommended way to organize tests. That keeps tests together with extension, but not too coupled with the actual module they test, so that they can import module with absolute path (e.g. ``import omni.foo``) and test it the way user will see them. Refer to ``omni.example.hello`` extension as a simplest example of extension with a python test. Settings ********** For the settings refer to ``extension.toml`` file: .. literalinclude:: ../config/extension.toml :language: toml They can be used to filter, automatically run tests and quit. API Reference *************** .. automodule:: omni.kit.test :platform: Windows-x86_64, Linux-x86_64 :members: :undoc-members: :imported-members: :exclude-members: contextlib, suppress
omniverse-code/kit/exts/omni.kit.test_suite.menu/PACKAGE-LICENSES/omni.kit.test_suite.menu-LICENSE.md
Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. NVIDIA CORPORATION and its licensors retain all intellectual property and proprietary rights in and to this software, related documentation and any modifications thereto. Any use, reproduction, disclosure or distribution of this software and related documentation without an express license agreement from NVIDIA CORPORATION is strictly prohibited.
omniverse-code/kit/exts/omni.kit.test_suite.menu/config/extension.toml
[package] # Semantic Versioning is used: https://semver.org/ version = "1.0.1" category = "Internal" # Lists people or organizations that are considered the "authors" of the package. authors = ["NVIDIA"] # The title and description fields are primarily for displaying extension info in UI title = "omni.kit.test_suite.menu" description="omni.kit.test_suite.menu" readme = "docs/README.md" # URL of the extension source repository. repository = "" # Keywords for the extension keywords = ["kit", "ui", "test"] # Location of change log file in target (final) folder of extension, relative to the root. # More info on writing changelog: https://keepachangelog.com/en/1.0.0/ changelog = "docs/CHANGELOG.md" # Icon is shown in Extensions window, it is recommended to be square, of size 256x256. icon = "data/icon.png" [[python.module]] name = "omni.kit.test_suite.menu" [[test]] args = [ "--/renderer/enabled=pxr", "--/renderer/active=pxr", "--/renderer/multiGpu/enabled=false", "--/renderer/multiGpu/autoEnable=false", # Disable mGPU with PXR due to OM-51026, OM-53611 "--/renderer/multiGpu/maxGpuCount=1", "--/app/asyncRendering=false", "--/app/file/ignoreUnsavedOnExit=true", "--/app/window/dpiScaleOverride=1.0", "--/app/window/scaleToMonitor=false", "--/persistent/app/omniverse/filepicker/options_menu/show_details=false", ] dependencies = [ "omni.hydra.pxr", "omni.kit.mainwindow", "omni.usd", "omni.kit.renderer.capture", "omni.kit.ui_test", "omni.kit.test_suite.helpers", "omni.kit.window.stage", "omni.kit.property.bundle", "omni.kit.window.status_bar", "omni.hydra.pxr", "omni.kit.window.viewport", "omni.kit.window.content_browser" ] stdoutFailPatterns.exclude = [ "*HydraRenderer failed to render this frame*", # Can drop a frame or two rendering with OpenGL interop "*Cannot use omni.hydra.pxr without OpenGL interop*" # Linux TC configs with multi-GPU might not have OpenGL available ]
omniverse-code/kit/exts/omni.kit.test_suite.menu/omni/kit/test_suite/menu/__init__.py
from .scripts import *
omniverse-code/kit/exts/omni.kit.test_suite.menu/omni/kit/test_suite/menu/scripts/__init__.py
omniverse-code/kit/exts/omni.kit.test_suite.menu/omni/kit/test_suite/menu/tests/__init__.py
from .context_menu_bind_material_listview import *
omniverse-code/kit/exts/omni.kit.test_suite.menu/omni/kit/test_suite/menu/tests/context_menu_bind_material_listview.py
## Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. ## ## NVIDIA CORPORATION and its licensors retain all intellectual property ## and proprietary rights in and to this software, related documentation ## and any modifications thereto. Any use, reproduction, disclosure or ## distribution of this software and related documentation without an express ## license agreement from NVIDIA CORPORATION is strictly prohibited. ## import omni.kit.test import os import omni.kit.app import omni.usd import omni.kit.commands from omni.kit.test.async_unittest import AsyncTestCase from omni.kit import ui_test from pxr import Sdf, Usd, UsdShade from omni.kit.material.library.test_helper import MaterialLibraryTestHelper from omni.kit.test_suite.helpers import ( open_stage, get_test_data_path, select_prims, delete_prim_path_children, arrange_windows ) from omni.kit.material.library.test_helper import MaterialLibraryTestHelper from omni.kit.window.content_browser.test_helper import ContentBrowserTestHelper class ContextMenuBindMaterialListview(AsyncTestCase): # Before running each test async def setUp(self): await arrange_windows("Stage", 300.0) await open_stage(get_test_data_path(__name__, "bound_shapes.usda")) async def test_l1_context_menu_bind_material_listview(self): await ui_test.find("Stage").focus() await ui_test.find("Content").focus() # grid_view_enabled = True doesn't work with item_offset to_select = ["/World/Cube", "/World/Sphere", "/World/Cylinder"] stage = omni.usd.get_context().get_stage() material_test_helper = MaterialLibraryTestHelper() content_browser_helper = ContentBrowserTestHelper() await content_browser_helper.toggle_grid_view_async(False) mdl_list = await omni.kit.material.library.get_mdl_list_async() for mtl_name, mdl_path, submenu in mdl_list: # delete any materials in looks await delete_prim_path_children("/World/Looks") # get content browser file await content_browser_helper.navigate_to_async(mdl_path) await ui_test.human_delay(10) item = await content_browser_helper.get_treeview_item_async(os.path.basename(mdl_path)) self.assertFalse(item == None) # get content browser treeview content_treeview = ui_test.find("Content//Frame/**/TreeView[*].identifier=='content_browser_treeview'") # select prims await select_prims(to_select) # right click content browser await content_treeview.right_click(item.center) # click on context menu item await ui_test.select_context_menu("Bind material to selected prim(s)") # use create material dialog await material_test_helper.handle_create_material_dialog(mdl_path, mtl_name) # verify item(s) for prim_path in to_select: prim = stage.GetPrimAtPath(prim_path) bound_material, _ = UsdShade.MaterialBindingAPI(prim).ComputeBoundMaterial() self.assertTrue(bound_material.GetPrim().IsValid() == True) self.assertTrue(bound_material.GetPrim().GetPrimPath().pathString == f"/World/Looks/{mtl_name}")
omniverse-code/kit/exts/omni.kit.test_suite.menu/docs/CHANGELOG.md
# Changelog The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/). ## [1.0.1] - 2022-07-25 ### Changes - Refactored unittests to make use of content_browser test helpers ## [1.0.0] - 2022-02-09 ### Changes - Created
omniverse-code/kit/exts/omni.kit.test_suite.menu/docs/README.md
# omni.kit.test_suite.menu ## omni.kit.test_suite.menu Test Suite