tinyobjloader is a python wrapper for C++ wavefront .obj loader.
tinyobjloader is rather fast and feature rich than other pure python version of .obj loader.
- python 3.6+
You can install tinyobjloader with pip.
$ pip install tinyobjloader
import sys import tinyobjloader # Create reader. reader = tinyobjloader.ObjReader() filename = "cornellbox.obj" # Load .obj(and .mtl) using default configuration ret = reader.ParseFromFile(filename) if ret == False: print("Warn:", reader.Warning()) pint("Err:", reader.Error()) print("Failed to load : ", filename) sys.exit(-1) if reader.Warning(): print("Warn:", reader.Warning()) attrib = reader.GetAttrib() print("attrib.vertices = ", len(attrib.vertices)) print("attrib.normals = ", len(attrib.normals)) print("attrib.texcoords = ", len(attrib.texcoords)) materials = reader.GetMaterials() print("Num materials: ", len(materials)) for m in materials: print(m.name) print(m.diffuse) shapes = reader.GetShapes() print("Num shapes: ", len(shapes)) for shape in shapes: print(shape.name) print("num_indices = {}".format(len(shape.mesh.indices)))
Please take a look at python/sample.py file in tinyobjloader git repo.
https://github.com/syoyo/tinyobjloader/blob/master/python/sample.py
Using cibuildwheel is a recommended way to build a python module.
See $tinyobjloader/azure-pipelines.yml for details.
Assume pip is installed.
$ git clone https://github.com/tinyobjloader/tinyobjloader
$ cd tinyobjloader
$ python -m pip install .
MIT(tinyobjloader) and ISC(mapbox earcut) license.
- Writer saver