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Update app.py
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app.py
CHANGED
@@ -22,7 +22,6 @@ import io
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from io import BytesIO
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from botocore.exceptions import NoCredentialsError, PartialCredentialsError
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torch.cuda.empty_cache()
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app = FastAPI()
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@@ -40,7 +39,8 @@ if torch.cuda.is_available():
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device = "cuda:0"
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else:
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device = "cpu"
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model = TSR.from_pretrained(
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"stabilityai/TripoSR",
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@@ -182,8 +182,7 @@ def preprocess(input_image, do_remove_background, foreground_ratio):
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# @spaces.GPU
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def generate(image, mc_resolution, formats=["obj", "glb"]):
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torch.cuda.
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torch.cuda.empty_cache()
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scene_codes = model(image, device=device)
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mesh = model.extract_mesh(scene_codes, resolution=mc_resolution)[0]
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mesh = to_gradio_3d_orientation(mesh)
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@@ -194,9 +193,6 @@ def generate(image, mc_resolution, formats=["obj", "glb"]):
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mesh_path_obj = tempfile.NamedTemporaryFile(suffix=f".obj", delete=False)
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mesh.apply_scale([-1, 1, 1]) # Otherwise the visualized .obj will be flipped
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mesh.export(mesh_path_obj.name)
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torch.cuda.synchronize()
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return mesh_path_obj.name, mesh_path_glb.name
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def upload_file_to_s3(file_path, bucket_name, object_name=None):
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from io import BytesIO
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from botocore.exceptions import NoCredentialsError, PartialCredentialsError
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app = FastAPI()
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device = "cuda:0"
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else:
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device = "cpu"
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+
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torch.cuda.synchronize()
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model = TSR.from_pretrained(
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"stabilityai/TripoSR",
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# @spaces.GPU
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def generate(image, mc_resolution, formats=["obj", "glb"]):
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# torch.cuda.empty_cache()
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scene_codes = model(image, device=device)
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mesh = model.extract_mesh(scene_codes, resolution=mc_resolution)[0]
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mesh = to_gradio_3d_orientation(mesh)
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mesh_path_obj = tempfile.NamedTemporaryFile(suffix=f".obj", delete=False)
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mesh.apply_scale([-1, 1, 1]) # Otherwise the visualized .obj will be flipped
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mesh.export(mesh_path_obj.name)
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return mesh_path_obj.name, mesh_path_glb.name
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def upload_file_to_s3(file_path, bucket_name, object_name=None):
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