Most of the requirements of this projects are exactly the same as maskrcnn-benchmark. I put them into one install.sh file. However, it's writen for CUDA10.0. If not, you should kindly change the commond about installing pytorch in install.sh.
Moreover, if you have any problem of your environment, you should check this 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