Most of the requirements of this projects are exactly the same as maskrcnn-benchmark. If you have any problem of your environment, you should check their issues page first. Hope you will find the answer.
- PyTorch 1.0 from a nightly release. It will not work with 1.0 nor 1.0.1. Installation instructions can be found in https://pytorch.org/get-started/locally/
- torchvision from master
- cocoapi
- yacs
- matplotlib
- GCC >= 4.9
- OpenCV
- CUDA >= 9.0
# Here we directly provide the instll.bash file for convenient installation.
# first, make sure that your conda is setup properly with the right environment
# for that, check that `which conda`, `which pip` and `which python` points to the
# right path. From a clean conda env, this is what you need to do
conda create --name vc_rcnn -y
conda activate vc_rcnn
# Then just run:
sh install.sh