Skip to content
TGM: PyTorch Geometry
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
docker
docs
examples
test
torchgeometry
.coveragerc
.gitignore add make file commands to travis Mar 11, 2019
.travis.yml
CONTRIBUTING.rst
LICENSE
Makefile
README.rst
conftest.py
mypy_files.txt
path.bash.inc fix sdk_dir in conda environment Oct 1, 2018
readthedocs.yml
setup.cfg
setup.py
setup_dev_env.sh
setup_travis_env.sh
tox.ini Added lint exception Mar 8, 2019
verify.py

README.rst


https://travis-ci.com/arraiyopensource/torchgeometry.svg?branch=master Documentation Status

The PyTorch Geometry package is a geometric computer vision library for PyTorch.

It consists of a set of routines and differentiable modules to solve generic geometry computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.

Installation

From pip:

pip install torchgeometry

From source:

python setup.py install

From source using pip:

pip install git+https://github.com/arraiyopensource/torchgeometry

Quick Usage

import torch
import torchgeometry as tgm

x_rad = tgm.pi * torch.rand(1, 3, 3)
x_deg = tgm.rad2deg(x_rad)

torch.allclose(x_rad, tgm.deg2rad(x_deg))  # True

Examples

Run our Jupyter notebooks examples to learn to use the library.

Cite

If you are using torchgeometry in your research-related documents, it is recommended that you cite the poster.

@misc{Arraiy2018,
 author    = {E. Riba, M. Fathollahi, W. Chaney, E. Rublee and G. Bradski}
 title     = {torchgeometry: when PyTorch meets geometry},
 booktitle = {PyTorch Developer Conference},
 year      = {2018},
 url       = {https://drive.google.com/file/d/1xiao1Xj9WzjJ08YY_nYwsthE-wxfyfhG/view?usp=sharing}
}

Contributing

We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us. Please, consider to read the CONTRIBUTING notes.

You can’t perform that action at this time.