VSGAN-tensorrt-docker
Using image super resolution models with vapoursynth and speeding them up with TensorRT. Using NVIDIA/Torch-TensorRT combined with rlaphoenix/VSGAN. This repo makes the usage of tiling and ESRGAN models very easy. Models can be found on the wiki page. Further model architectures are planned to be added later on.
Currently working:
- ESRGAN
- RealESRGAN (adjust model load manually in
inference.py, settings wont be adjusted automatically currently)
Usage:
# install docker, command for arch
yay -S docker nvidia-docker nvidia-container-toolkit
# Put the dockerfile in a directory and run that inside that directory
docker build -t vsgan_tensorrt:latest .
# run with a mounted folder
docker run --privileged --gpus all -it --rm -v /home/Desktop/tensorrt:/workspace/tensorrt vsgan_tensorrt:latest
# you can use it in various ways, ffmpeg example
vspipe --y4m inference.py - | ffmpeg -i pipe: example.mkv
If docker does not want to start, try this before you use docker:
# fixing docker errors
systemctl start docker
sudo chmod 666 /var/run/docker.sock
Windows is mostly similar, but the path needs to be changed slightly:
Example for C://path
docker run --privileged --gpus all -it --rm -v //c/path:/workspace/tensorrt vsgan_tensorrt:latest
If you don't want to use docker, vapoursynth install commands are here and a TensorRT example is here.
Set the input video path in inference.py and access videos with the mounted folder.
It is also possible to directly pipe the video into mpv, but you most likely wont be able to archive realtime speed. Change the mounted folder path to your own videofolder and use the mpv dockerfile instead. If you use a very efficient model, it may be possible on a very good GPU. Only tested in Manjaro.
yay -S pulseaudio
# i am not sure if it is needed, but go into pulseaudio settings and check "make pulseaudio network audio devices discoverable in the local network" and reboot
# start docker
docker run --rm -i -t \
--network host \
-e DISPLAY \
-v /home/Schreibtisch/test/:/home/mpv/media \
--ipc=host \
--privileged \
--gpus all \
-e PULSE_COOKIE=/run/pulse/cookie \
-v ~/.config/pulse/cookie:/run/pulse/cookie \
-e PULSE_SERVER=unix:${XDG_RUNTIME_DIR}/pulse/native \
-v ${XDG_RUNTIME_DIR}/pulse/native:${XDG_RUNTIME_DIR}/pulse/native \
vsgan_tensorrt:latest
# run mpv
vspipe --y4m inference.py - | mpv -
![[SUGGESTION] per-scene processing](https://avatars.githubusercontent.com/u/171307?v=4)
8 Nov 21, 2022
494 Dec 30, 2022
1 Jan 24, 2022
3 Nov 24, 2022
130 Dec 29, 2022
6 Apr 19, 2022
1.6k Jan 06, 2023
4.8k Jan 07, 2023
321 Jan 09, 2023
238 Dec 22, 2022
1.7k Dec 29, 2022
8 Apr 28, 2022
215 Dec 25, 2022
2 Jan 10, 2022
349 Dec 08, 2022
11 Dec 25, 2022
18 Oct 12, 2022
2 Feb 04, 2022
4 Oct 31, 2022
3 Jun 09, 2022