NVIDIA/flownet2-pytorch

Installation is a nightmare

openSourcerer9000 opened this issue · 3 comments

conda create -n fvid python=3.7;
conda activate fvid;
conda install pytorch==1.7.1 torchvision==0.8.2 cudatoolkit=10.1;
conda install ffmpeg==4.0.2;
pip install opencv-python dominate scipy tqdm matplotlib scikit-image;

install.sh

-CUDA HOME env var error-

conda install -c conda-forge cudatoolkit-dev

subprocess.CalledProcessError: Command '['which', 'g++']' returned non-zero exit status 1.

sudo apt install build-essential

subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

apparently this goes back to the initial cuda home issue
I tried ./launch_docker.sh instead. Should be easier with docker right?

sudo: nvidia-docker: command not found

Apparently that's deprecated, need to install a bunch of extra stuff. https://github.com/NVIDIA/nvidia-docker#quickstart https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html

E: Release file for http://archive.ubuntu.com/ubuntu/dists/jammy-updates/InRelease is not valid yet (invalid for another 3h 4min 23s). Updates for this repository will not be applied.

Has ANYONE ever managed to install this?

exactly impossible to install it seems :(