fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks developed in FAIR, such as Detectron2, PySlowFast ClassyVision. All components in this library are type-annotated, tested, and benchmarked.
The computer vision team in FAIR is responsible for maintaining this library.
Besides some basic utilities, the most notable features of fvcore are:
fvcore requires pytorch and python >= 3.6.
Use one of the following ways to install:
pip install -U fvcore
conda install -c fvcore -c iopath -c conda-forge fvcore
pip install -U 'git+https://github.com/facebookresearch/fvcore'
git clone https://github.com/facebookresearch/fvcore
pip install -e fvcore
This library is released under the Apache 2.0 license.