This project's aim is to voxelize the
*.ply 3D model.
But only for
ply files, all assimp support files can be voxelized.
Autodesk ( .fbx ), Collada ( .dae ), glTF ( .gltf, .glb ), Blender 3D ( .blend ), 3ds Max 3DS ( .3ds ), 3ds Max ASE ( .ase ), Wavefront Object ( .obj ), Industry Foundation Classes (IFC/Step) ( .ifc ), XGL ( .xgl,.zgl ), Stanford Polygon Library ( .ply ), AutoCAD DXF ( .dxf ), LightWave ( .lwo ), LightWave Scene ( .lws ), Modo ( .lxo ), Stereolithography ( .stl ), DirectX X ( .x ), AC3D ( .ac ), Milkshape 3D ( .ms3d ), TrueSpace ( .cob,.scn )
A numpy array with shape of you appointed.Example: you give a vexel size of (100, 100, 100).
It will return a numpy array with shape (100, 100, 100).
When you need to import it, using
For more convenient usage, it export a json file. Just reshape the numpy array to (-1, ) . As it shown below:
Using this format, you can easily got the result in eyes with viewvox.
>>> import voxelization >>> voxelization.voxelization("134212_1.ply") ('Bounding box: ', 350.86337, 268.0675, 62.311089, 140.45639, 59.910782, -137.18449) ('x_edge: ', 1.0958697001139324, '\ny_edge: ', 1.0841495990753174, '\nz_edge: ', 0.99747787475585936, '\nedge: ', 1.0958697001139324) ('The mesh ', '0', ' has vertices: ', (53215, 3)) ('The mesh', '0', ' process successfully in ', 530.8458249568939, 's') calculate all meshes voxel finished! array([[[0, 0, 0, ..., 0, 0, 0], ...... [0, 0, 0, ..., 0, 0, 0]]], dtype=int8) >>>
run.sh is the usage of the script
batch_voxelization.py. You can change your arguments, and run it just use command
bash run.sh in linux.
There is some works of the app. Those screenshot pictures are using viewvox Application.
PyAssimp can import and export many formats of 3-D models, very useful.
NumPy is the fundamental package for scientific computing with Python.
FLANN (Fast Library for Approximate Nearest Neighbors) is a library for performing fast approximate nearest neighbor searches. FLANN is written in the C++ programming language. FLANN can be easily used in many contexts through the C, MATLAB and Python bindings provided with the library.