coacd

import trimesh import coacd import numpy as np # Create a simple mesh (e.g., a box) using trimesh mesh = trimesh.primitives.Box() print(f"Original mesh has {len(mesh.vertices)} vertices and {len(mesh.faces)} faces.") # Perform convex decomposition # Parameters like threshold, max_iter, resolution affect decomposition quality and speed parts = coacd.run_coacd( mesh.vertices, # Expected as a (N, 3) numpy array mesh.faces, # Expected as a (M, 3) numpy array threshold=0.05, # Controls concavity threshold (lower for more parts) max_iter=8, # Max iterations for tree search resolution=64, # Voxel grid resolution, lower for faster but less precise render=False, # Set to True to visualize decomposition (requires PyOpenGL) save_meshes=False # Set to True to save individual parts to disk ) print(f"Decomposed into {len(parts)} convex parts.") # Each part is a tuple (vertices, faces) for a convex hull if parts: first_part_vertices, first_part_faces = parts[0] print(f"First part has {len(first_part_vertices)} vertices and {len(first_part_faces)} faces.") # You can reconstruct meshes for each part if needed, e.g., trimesh.Trimesh(v, f)