loongson/pypi/: dracopy-1.4.0 metadata and description
Python wrapper for Google's Draco Mesh Compression Library
| author | Manuel Castro, William Silversmith :: Contributors :: Fatih Erol, Faru Nuri Sonmez, Zeyu Zhao, Denis Riviere |
| author_email | macastro@princeton.edu, ws9@princeton.edu |
| classifiers |
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| description_content_type | text/markdown |
| license | License :: OSI Approved :: Apache Software License |
Because this project isn't in the mirror_whitelist,
no releases from root/pypi are included.
| File | Tox results | History |
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DracoPy-1.4.0-cp38-cp38-linux_loongarch64.whl
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DracoPy
import os import DracoPy with open('bunny.drc', 'rb') as draco_file: mesh = DracoPy.decode(draco_file.read()) print(f"number of points: {len(mesh.points)}") print(f"number of faces: {len(mesh.faces)}") print(f"number of normals: {len(mesh.normals)}") # Note: If mesh.points is an integer numpy array, # it will be encoded as an integer attribute. Otherwise, # it will be encoded as floating point. binary = DracoPy.encode(mesh.points, mesh.faces) with open('bunny_test.drc', 'wb') as test_file: test_file.write(encoding_test) # If faces is omitted, DracoPy will encode a point cloud binary = Dracopy.encode(mesh.points) # Options for encoding: binary = Dracopy.encode( mesh.points, faces=mesh.faces, quantization_bits=14, compression_level=1, quantization_range=-1, quantization_origin=None, create_metadata=False, preserve_order=False, colors=mesh.colors )
DracoPy is a Python wrapper for Google's Draco mesh compression library.
Installation
Binary wheels are available for users with Python >= 3.6 and pip >= 20.
Installation from source requires Python >= 3.6, pip >= 10, and a C++ compiler that is fully compatible with C++11.
It supports Linux, OS X, and Windows. Numpy is required.
pip install DracoPy
Acknowledgements
We graciously thank The Stanford 3D Scanning Repository for providing the Stanford Bunny test model.