Experimental fork of tinyobjloader Python module
Project description
tinyobjloader, Wavefront .obj loader
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.
Quick tutorial
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)))
More detailed usage
Please take a look at python/sample.py
file in tinyobjloader git repo.
https://github.com/syoyo/tinyobjloader/blob/master/python/sample.py
License
MIT license.
TODO
- Writer saver
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File details
Details for the file tinymetabobjloader-0.1.1-cp27-cp27m-macosx_10_6_intel.whl
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File metadata
- Download URL: tinymetabobjloader-0.1.1-cp27-cp27m-macosx_10_6_intel.whl
- Upload date:
- Size: 302.4 kB
- Tags: CPython 2.7m, macOS 10.6+ intel
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.9.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/2.7.16
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