Use of Python Trimesh library
Trimesh is a pure Python (2.7-3.5+) library for loading and using triangle meshes.
The goal of the library is to provide a fully functional, well-tested Trimesh object that allows for simple manipulation and analysis in the same style as the Polygon object in the Shapely library.
Here are some related usage methods!
Model loading
mesh = (obj_path)
vertices and faces output
v = f = #The v and f format obtained in this way are trimesh built-in formats and cannot be used directly for other calculations. They need to be converted to numpyv1 = (v) f1 = (f)
vertices and faces are converted into models and displayed
obj = (vertices = v1, faces = f1) () #Then clickaDisplay coordinate axes，wShow only the model lines
Sampling surface points and calculating nearest points
"""
tgt_mesh:sampled mesh
sampled_points_num: Number of sampled points
gt_surface_pts: sampling point coordinates
face_index: the face index corresponding to the sampling point
"""
gt_surface_pts, face_index = .sample_surface_even(tgt_mesh, sampled_points_num)
"""
src_mesh: target mesh
gt_surface_pts: The point to calculate the nearest point
pred_surface_pts: The nearest point obtained on the triangle sheet
dist_pred_gt: The distance from point to the nearest triangle
triangle_id: index of the most recent triangle facet
"""
pred_surface_pts, dist_pred_gt, triangle_id = .closest_point(
src_mesh, gt_surface_pts)Transform the mesh with homogeneous transformation matrix
# matrix((4,4)float) - Homogeneous transformation matrixmesh = (obj_path) mesh = mesh.apply_transform(matrix)
Other Trimesh functions can be explained in detail and used.Search the official website！
Summarize
The above is personal experience. I hope you can give you a reference and I hope you can support me more.