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. This library is based on Python 3.6+ and PyTorch. All the components in this library are type-annotated, tested, and benchmarked.
The computer vision team in FAIR is responsible for maintaining this library.
fvcore requires python >= 3.6.
Run one of the following commands to install:
1. Install from Anaconda Cloud
conda install -c fvcore fvcore
2. Install from PyPI
pip install fvcore
3. Install from GitHub
pip install -U 'git+https://github.com/facebookresearch/fvcore'
4. Install from a local clone
git clone https://github.com/facebookresearch/fvcore cd fvcore && pip install -e .
This library is released under the Apache 2.0 license.