{"repo":"InterDigitalInc/CompressAI","free":true,"listed":false,"github":"https://github.com/InterDigitalInc/CompressAI","clone":"git clone https://github.com/InterDigitalInc/CompressAI.git","description":"A PyTorch library and evaluation platform for end-to-end compression research","language":"Python","stars":1621,"topics":["compression","deep-learning","python","pytorch","machine-learning","deep-neural-networks","neural-network"],"license":"BSD-3-Clause-Clear","category":"machine-learning","readme_excerpt":"CompressAI ( compress-ay ) is a PyTorch library and evaluation platform for end-to-end compression research. CompressAI currently provides: custom operations, layers and models for deep learning based data compression a partial port of the official TensorFlow compression library pre-trained end-to-end compression models for learned image compression evaluation scripts to compare learned models against classical image/video compression codecs Note : Multi-GPU support is now experimental. Installation CompressAI supports python 3.8+ and PyTorch 1.7+. pip : Note : wheels are available for Linux and MacOS. From source : A C++17 compiler, a recent version of pip (19.0+), and common python packages are also required (see setup.py for the full list). To get started locally and install the development version of CompressAI, run the following commands in a virtual environment: For a custom installation, you can also run one of the following commands: pip install -e '.[dev]' : install the packages required for development (testing, linting, docs) pip install -e '.[tutorials]' : install the packages required for the tutorials (notebooks) Note : Docker images will be released in the future. Conda environments are not officially supported. Documentation Installation CompressAI API Training your own model List of available models (model zoo) Usage Examples Script and notebook examples can be found in the examples/ directory. To encode/decode images with the provided pre-trained models, run","default_branch":null,"files":null,"tree":[],"storefront":"/r/InterDigitalInc","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/InterDigitalInc/CompressAI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}