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Docker cheatsheet
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| # References: | |
| # https://github.com/NVIDIA/nvidia-docker#usage | |
| # http://peterforgacs.github.io/2017/04/18/Docker-basics/ | |
| # | |
| docker run --gpus '"device=1"' -it --rm -v /home/kuohsin/workspace/tensorrt_lab/torch2trt:/workspace tensorrt | |
| docker container ls -a | |
| docker container rm container_id | |
| sudo docker commit container_id image_name | |
| # Resume container | |
| docker start -a -i container_id | |
| # Delete all stopped containers | |
| docker rm $( docker ps -q -f status=exited) | |
| # Delete all dangling (unused) images | |
| docker rmi $( docker images -q -f dangling=true) | |
| # --------------------------------------- | |
| CAMERA_DEVICE=tt_0927_demo_video.mp4 | |
| xhost +local:docker | |
| # Run with the video file | |
| # | |
| docker run -it --rm \ | |
| --gpus '"device=1"' \ | |
| -e DISPLAY=$DISPLAY \ | |
| -v /home/ddtw/workspace/mystique:/workspace \ | |
| -v /tmp/.X11-unix:/tmp/.X11-unix \ | |
| realtime-deepfake \ | |
| python test.py --stream_source=$CAMERA_DEVICE |
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