Spaces:
Running
on
Zero
Running
on
Zero
app.py
CHANGED
@@ -34,10 +34,7 @@ from step1x3d_geometry.models.pipelines.pipeline import Step1X3DGeometryPipeline
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from step1x3d_texture.pipelines.step1x_3d_texture_synthesis_pipeline import (
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Step1X3DTexturePipeline,
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)
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from
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FaceReducer,
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DegenerateFaceRemover,
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)
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parser = argparse.ArgumentParser()
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@@ -88,8 +85,8 @@ def generate_func(
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geometry_mesh = out.mesh[0]
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geometry_mesh.export(geometry_save_path)
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geometry_mesh =
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geometry_mesh =
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textured_mesh = texture_model(input_image_path, geometry_mesh)
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textured_save_path = f"{args.cache_dir}/{save_name}-textured.glb"
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textured_mesh.export(textured_save_path)
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from step1x3d_texture.pipelines.step1x_3d_texture_synthesis_pipeline import (
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Step1X3DTexturePipeline,
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)
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+
from step1x3d_geometry.models.pipelines.pipeline_utils import reduce_face, remove_degenerate_face
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parser = argparse.ArgumentParser()
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geometry_mesh = out.mesh[0]
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geometry_mesh.export(geometry_save_path)
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geometry_mesh = remove_degenerate_face()(geometry_mesh)
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geometry_mesh = reduce_face()(geometry_mesh)
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textured_mesh = texture_model(input_image_path, geometry_mesh)
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textured_save_path = f"{args.cache_dir}/{save_name}-textured.glb"
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textured_mesh.export(textured_save_path)
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step1x3d_texture/pipelines/step1x_3d_texture_synthesis_pipeline.py
CHANGED
@@ -24,11 +24,7 @@ import trimesh
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import xatlas
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import scipy.sparse
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from scipy.sparse.linalg import spsolve
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-
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FaceReducer,
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FloaterRemover,
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DegenerateFaceRemover,
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)
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from step1x3d_geometry.models.pipelines.pipeline_utils import smart_load_model
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@@ -333,7 +329,7 @@ class Step1X3DTexturePipeline:
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return texture
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@torch.no_grad()
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def __call__(self, image, mesh, remove_bg=True):
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if remove_bg:
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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"ZhengPeng7/BiRefNet", trust_remote_code=True
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@@ -367,7 +363,7 @@ class Step1X3DTexturePipeline:
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width=768,
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num_inference_steps=self.config.num_inference_steps,
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guidance_scale=self.config.guidance_scale,
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seed=self.config.seed,
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lora_scale=self.config.lora_scale,
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reference_conditioning_scale=self.config.reference_conditioning_scale,
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negative_prompt=self.config.negative_prompt,
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import xatlas
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import scipy.sparse
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from scipy.sparse.linalg import spsolve
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+
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from step1x3d_geometry.models.pipelines.pipeline_utils import smart_load_model
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return texture
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@torch.no_grad()
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def __call__(self, image, mesh, remove_bg=True, seed=2025):
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if remove_bg:
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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"ZhengPeng7/BiRefNet", trust_remote_code=True
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width=768,
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num_inference_steps=self.config.num_inference_steps,
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guidance_scale=self.config.guidance_scale,
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seed=seed if seed is not None else self.config.seed,
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lora_scale=self.config.lora_scale,
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reference_conditioning_scale=self.config.reference_conditioning_scale,
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negative_prompt=self.config.negative_prompt,
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step1x3d_texture/utils/shape_post_process.py
DELETED
@@ -1,145 +0,0 @@
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# Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT
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# except for the third-party components listed below.
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# Hunyuan 3D does not impose any additional limitations beyond what is outlined
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# in the repsective licenses of these third-party components.
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# Users must comply with all terms and conditions of original licenses of these third-party
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# components and must ensure that the usage of the third party components adheres to
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# all relevant laws and regulations.
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-
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# For avoidance of doubts, Hunyuan 3D means the large language models and
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# their software and algorithms, including trained model weights, parameters (including
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# optimizer states), machine-learning model code, inference-enabling code, training-enabling code,
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# fine-tuning enabling code and other elements of the foregoing made publicly available
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# by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT.
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import os
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import tempfile
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from typing import Union
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import numpy as np
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import pymeshlab
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import torch
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import trimesh
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def load_mesh(path):
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if path.endswith(".glb"):
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mesh = trimesh.load(path)
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else:
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mesh = pymeshlab.MeshSet()
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mesh.load_new_mesh(path)
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return mesh
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-
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-
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def reduce_face(mesh: pymeshlab.MeshSet, max_facenum: int = 200000):
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if max_facenum > mesh.current_mesh().face_number():
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return mesh
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mesh.apply_filter(
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"meshing_decimation_quadric_edge_collapse",
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targetfacenum=max_facenum,
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qualitythr=1.0,
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preserveboundary=True,
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boundaryweight=3,
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preservenormal=True,
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preservetopology=True,
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autoclean=True,
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)
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return mesh
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def remove_floater(mesh: pymeshlab.MeshSet):
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mesh.apply_filter(
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"compute_selection_by_small_disconnected_components_per_face", nbfaceratio=0.005
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)
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mesh.apply_filter("compute_selection_transfer_face_to_vertex", inclusive=False)
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mesh.apply_filter("meshing_remove_selected_vertices_and_faces")
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return mesh
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def pymeshlab2trimesh(mesh: pymeshlab.MeshSet):
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with tempfile.NamedTemporaryFile(suffix=".ply", delete=False) as temp_file:
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mesh.save_current_mesh(temp_file.name)
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mesh = trimesh.load(temp_file.name)
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# 检查加载的对象类型
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if isinstance(mesh, trimesh.Scene):
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combined_mesh = trimesh.Trimesh()
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# 如果是Scene,遍历所有的geometry并合并
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for geom in mesh.geometry.values():
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combined_mesh = trimesh.util.concatenate([combined_mesh, geom])
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mesh = combined_mesh
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return mesh
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def trimesh2pymeshlab(mesh: trimesh.Trimesh):
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with tempfile.NamedTemporaryFile(suffix=".ply", delete=False) as temp_file:
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if isinstance(mesh, trimesh.scene.Scene):
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for idx, obj in enumerate(mesh.geometry.values()):
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if idx == 0:
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temp_mesh = obj
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else:
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temp_mesh = temp_mesh + obj
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mesh = temp_mesh
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mesh.export(temp_file.name)
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mesh = pymeshlab.MeshSet()
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mesh.load_new_mesh(temp_file.name)
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return mesh
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def import_mesh(
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mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, str],
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) -> pymeshlab.MeshSet:
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if isinstance(mesh, str):
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mesh = load_mesh(mesh)
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if isinstance(mesh, (trimesh.Trimesh, trimesh.scene.Scene)):
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mesh = trimesh2pymeshlab(mesh)
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return mesh
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def export_mesh(input, output):
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if isinstance(input, pymeshlab.MeshSet):
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mesh = output
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else:
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mesh = pymeshlab2trimesh(output)
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return mesh
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class FaceReducer:
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def __call__(
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self,
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mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, str],
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max_facenum: int = 40000,
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) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]:
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ms = import_mesh(mesh)
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ms = reduce_face(ms, max_facenum=max_facenum)
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mesh = export_mesh(mesh, ms)
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return mesh
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class FloaterRemover:
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def __call__(
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self,
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mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, str],
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) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]:
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ms = import_mesh(mesh)
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ms = remove_floater(ms)
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mesh = export_mesh(mesh, ms)
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return mesh
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class DegenerateFaceRemover:
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def __call__(
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self,
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mesh: Union[pymeshlab.MeshSet, trimesh.Trimesh, str],
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) -> Union[pymeshlab.MeshSet, trimesh.Trimesh]:
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ms = import_mesh(mesh)
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with tempfile.NamedTemporaryFile(suffix=".ply", delete=False) as temp_file:
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ms.save_current_mesh(temp_file.name)
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ms = pymeshlab.MeshSet()
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ms.load_new_mesh(temp_file.name)
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mesh = export_mesh(mesh, ms)
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return mesh
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