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@@ -3,6 +3,7 @@ import logging
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import numpy as np
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from typing import Dict, List, Optional, Any
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import trimesh
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from trimesh import sample as trimesh_sample
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from OCC.Core.BRepMesh import BRepMesh_IncrementalMesh
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from OCC.Core.TopExp import TopExp_Explorer
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from OCC.Core.TopAbs import TopAbs_FACE
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@@ -23,7 +24,7 @@ class MeshGenerator:
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}
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self.quality = self.quality_settings.get(quality, 0.3)
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def generate_mesh_from_shape(self, shape, num_points: int = 50000) -> Dict:
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def generate_mesh_from_shape(self, shape, num_points: int = 20000) -> Dict:
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"""从PythonOCC形状生成点云数据"""
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try:
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# 生成网格 - 使用更精细的网格
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@@ -68,7 +69,7 @@ class MeshGenerator:
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pnt = face_triangulation.Node(i)
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# 应用位置变换
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pnt.Transform(trsf)
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face_vertices.append([pnt.X(), pnt.Y(), pnt.Z()])
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face_vertices.append([float(pnt.X()), float(pnt.Y()), float(pnt.Z())])
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# 提取三角形索引
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face_indices = []
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@@ -103,8 +104,12 @@ class MeshGenerator:
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# 创建Trimesh对象
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tri_mesh = trimesh.Trimesh(vertices=vertices, faces=faces, process=True)
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# 根据网格大小动态调整采样点数
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actual_num_points = min(num_points, len(faces) * 2)
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logger.info(f"采样点数: {actual_num_points}")
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# 在网格表面采样点云
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points, face_idx = trimesh.sample.sample_surface(tri_mesh, num_points)
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points, face_idx = trimesh.sample.sample_surface(tri_mesh, actual_num_points)
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# 获取法向量
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normals = tri_mesh.face_normals[face_idx]
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@@ -116,9 +121,9 @@ class MeshGenerator:
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"faces": faces.tolist(),
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"points": points.tolist(),
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"normals": normals.tolist(),
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"point_count": len(points),
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"vertex_count": len(vertices),
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"face_count": len(faces)
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"point_count": int(len(points)),
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"vertex_count": int(len(vertices)),
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"face_count": int(len(faces))
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}
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except Exception as e:
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