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# src/core/mesh_generator.py
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import logging
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import numpy as np
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from typing import Dict, List, Optional
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import pyvista as pv
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from typing import Dict, List, Optional, Any
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import trimesh
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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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from OCC.Core.BRep import BRep_Tool
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from OCC.Core.gp import gp_Pnt, gp_Vec
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from OCC.Core.BRepBuilderAPI import BRepBuilderAPI_MakeFace, BRepBuilderAPI_MakeEdge
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logger = logging.getLogger(__name__)
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class MeshGenerator:
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"""网格生成器 - 使用PyVista和Trimesh"""
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"""网格生成器 - 从PythonOCC形状生成点云"""
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def __init__(self, quality: str = "medium"):
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self.quality_settings = {
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"low": 0.5,
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"medium": 0.1,
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"high": 0.01
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"low": 1.0,
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"medium": 0.5,
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"high": 0.1
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}
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self.quality = self.quality_settings.get(quality, 0.1)
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self.quality = self.quality_settings.get(quality, 0.5)
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def generate_mesh_from_shape(self, shape, num_points: int = 10000) -> Dict:
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"""从形状生成网格数据"""
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def generate_mesh_from_shape(self, shape, num_points: int = 50000) -> Dict:
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"""从PythonOCC形状生成点云数据"""
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try:
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# 方法1: 使用PythonOCC生成网格
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occ_mesh = self._generate_occ_mesh(shape)
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# 方法2: 转换为PyVista网格
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pv_mesh = self._convert_to_pyvista(occ_mesh)
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# 方法3: 转换为Trimesh网格
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tri_mesh = self._convert_to_trimesh(pv_mesh)
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# 生成点云
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pointcloud = self._generate_pointcloud(tri_mesh, num_points)
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return {
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"pyvista_mesh": pv_mesh,
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"trimesh_mesh": tri_mesh,
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"pointcloud": pointcloud
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}
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except Exception as e:
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logger.error(f"网格生成失败: {e}")
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raise
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def _generate_occ_mesh(self, shape) -> any:
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"""使用PythonOCC生成网格"""
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mesh = BRepMesh_IncrementalMesh(shape, self.quality)
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mesh.Perform()
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return mesh
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def _convert_to_pyvista(self, occ_mesh) -> pv.PolyData:
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"""转换为PyVista网格"""
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# 这里需要从OCC网格中提取顶点和面数据
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# 简化实现 - 实际需要遍历OCC网格数据结构
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try:
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# 创建示例网格数据
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cube = pv.Cube()
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return cube
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except Exception as e:
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logger.warning(f"PyVista转换失败,使用备用方法: {e}")
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return self._create_sample_mesh()
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def _convert_to_trimesh(self, pv_mesh) -> trimesh.Trimesh:
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"""转换为Trimesh网格"""
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try:
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# 从PyVista转换
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vertices = pv_mesh.points
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faces = pv_mesh.faces.reshape(-1, 4)[:, 1:4] # 假设三角形网格
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return trimesh.Trimesh(vertices=vertices, faces=faces)
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except Exception as e:
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logger.warning(f"Trimesh转换失败: {e}")
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return self._create_sample_trimesh()
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def _generate_pointcloud(self, mesh: trimesh.Trimesh, num_points: int) -> Dict:
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"""从网格生成点云"""
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try:
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# 均匀采样点云
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points, face_indices = trimesh.sample.sample_surface(mesh, num_points)
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# 计算法向量
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normals = mesh.face_normals[face_indices]
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# 生成网格
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mesh = BRepMesh_IncrementalMesh(shape, self.quality)
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mesh.Perform()
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logger.info(f"OCC网格生成完成, 网格状态: {mesh.IsDone()}")
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# 提取三角形面数据
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vertices = []
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faces = []
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vertex_map = {}
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vertex_index = 0
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# 遍历所有面
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explorer = TopExp_Explorer(shape, TopAbs_FACE)
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while explorer.More():
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face = explorer.Current()
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# 获取面的三角形剖分
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face_triangulation = BRep_Tool.Triangulation(face)
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for i in range(1, face_triangulation.NbTriangles() + 1):
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# 获取三角形的三个顶点
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tri = face_triangulation.Triangle(i)
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# 获取顶点坐标
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v1 = BRep_Tool.Pnt(face_triangulation, tri.Value(1) + 1)
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v2 = BRep_Tool.Pnt(face_triangulation, tri.Value(2) + 1)
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v3 = BRep_Tool.Pnt(face_triangulation, tri.Value(3) + 1)
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# 转换为坐标
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p1 = (v1.X(), v1.Y(), v1.Z())
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p2 = (v2.X(), v2.Y(), v2.Z())
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p3 = (v3.X(), v3.Y(), v3.Z())
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# 添加顶点并获取索引
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def add_vertex(p):
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nonlocal vertex_index
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key = (round(p[0], 6), round(p[1], 6), round(p[2], 6))
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if key not in vertex_map:
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vertex_map[key] = vertex_index
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vertices.append(p)
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vertex_index += 1
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return vertex_map[key]
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idx1 = add_vertex(p1)
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idx2 = add_vertex(p2)
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idx3 = add_vertex(p3)
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faces.append([idx1 - 1, idx2 - 1, idx3 - 1])
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vertices = np.array(vertices, dtype=np.float32)
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faces = np.array(faces, dtype=np.int32)
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logger.info(f"提取了 {len(vertices)} 个顶点, {len(faces)} 个三角形面")
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# 创建Trimesh对象
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tri_mesh = trimesh.Trimesh(vertices=vertices, faces=faces)
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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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# 获取法向量
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normals = tri_mesh.face_normals[face_idx]
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logger.info(f"生成了 {len(points)} 个点云点")
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return {
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"vertices": vertices.tolist(),
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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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"count": len(points)
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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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}
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except Exception as e:
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logger.error(f"点云生成失败: {e}")
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raise
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logger.error(f"网格生成失败: {e}")
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import traceback
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logger.error(traceback.format_exc())
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# 返回示例数据
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return self._create_sample_pointcloud()
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def _create_sample_mesh(self) -> pv.PolyData:
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"""创建示例网格(备用)"""
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return pv.Cube()
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def _create_sample_trimesh(self) -> trimesh.Trimesh:
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"""创建示例Trimesh(备用)"""
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return trimesh.creation.box([100, 80, 50])
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def _create_sample_pointcloud(self) -> Dict:
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"""创建示例点云(备用)"""
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# 创建一个简单的立方体点云
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mesh = trimesh.creation.box([100, 80, 50])
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points, _ = trimesh.sample.sample_surface(mesh, 5000)
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normals = mesh.face_normals
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return {
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"vertices": mesh.vertices.tolist(),
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"faces": mesh.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(mesh.vertices),
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"face_count": len(mesh.faces)
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}
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