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Collection of models and extensions for deployment in PyTorch

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TorchExpo is a collection of models and extensions for mobile deployment in PyTorch

  • Installation
    • Binaries
    • From Source
    • Building the Documentation
  • Getting Started
  • Contributing
  • License

TorchExpo Image Segmentation Example

Installation

Binaries

Commands to install from binaries via Conda or pip wheels are as follows:
pip

pip install torchexpo

Conda
Coming Soon

From Source

git clone --recursive https://github.com/torchexpo/torchexpo
cd torchexpo
python setup.py install

Building the Documentation

To build documentation in various formats, you will need Sphinx and the readthedocs theme.

cd docs/
pip install -r requirements.txt

You can then build the documentation by running make <format> from the docs/ folder. Run make to get a list of all available output formats.

Getting Started

Resources

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 any application upgrades, please first open an issue and discuss the feature with us. Sending a PR without discussion might end up resulting in a rejected PR, because we might be taking the project in a different direction than you might be aware of.

Please refer our Contribution Guide for more details.

License

This project is licensed under Apache-2.0 as given in LICENSE file.