pablogod/fastdvdnet repository overview

# Clone the repo
git clone https://github.com/ZurMaD/fastdvdnet

# Change directory
cd fastdvdnet/

# Download docker with requirements
docker pull pablogod/fastdvdnet

# Remove all images inside path
rm ./upload_images/*

# Split the video on frames like below 'upload_images' is where the frames are being update
# You need to specify framerate on '-r 1/1'
ffmpeg -i path/to/your_video/1.mp4 -r 1/1 /content/fastdvdnet/upload_images/%03d.png

# Check https://github.com/anibali/docker-pytorch for full information
docker run --rm -it --init \
  --gpus=all \
  --ipc=host \
  --user="$(id -u):$(id -g)" \
  --volume="$PWD:/app" \ # NOW EXECUTE THE PY FILE WITH ARGS
  pablogod/fastdvdnet python3 test_fastdvdnet.py \ 
	--test_path ./upload_images \ # path inside git cloned. Need a video splitted on frames with numbers like 001.png, 002.png
	--noise_sigma 30 \ # [5,45] Check paper to understand this part
	--save_path ./results # Folder that the results are going to be storage
	
#Notes:
#   - Code is not working with CPU only
#   - Needs NVIDIA drive support before run the docker correctly