标签：tools tar mac info srv get tmp options VID
About some of the options CUDA: For acceleration. Requires a good nVidia Graphics Card (which supports CUDA inside) Docker: Provide a ready-made image. Hide trivial details. Get you straight to the project. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. CUDA with Docker in 20 minutes. INFO The tool provides tips for installation and installs required python packages INFO Setup in Linux 4.14.39-1-MANJARO INFO Installed Python: 3.6.5 64bit INFO Installed PIP: 10.0.1 Enable Docker? [Y/n] INFO Docker Enabled Enable CUDA? [Y/n] INFO CUDA Enabled INFO 1. Install Docker https://www.docker.com/community-edition 2. Install Nvidia-Docker & Restart Docker Service https://github.com/NVIDIA/nvidia-docker 3. Build Docker Image For Faceswap docker build -t deepfakes-gpu -f Dockerfile.gpu . 4. Mount faceswap volume and Run it # without gui. tools.py gui not working. nvidia-docker run --rm -it -p 8888:8888 --hostname faceswap-gpu --name faceswap-gpu -v /opt/faceswap:/srv deepfakes-gpu # with gui. tools.py gui working. ## enable local access to X11 server xhost +local: ## enable nvidia device if working under bumblebee echo ON > /proc/acpi/bbswitch ## create container nvidia-docker run -p 8888:8888 --hostname faceswap-gpu --name faceswap-gpu -v /opt/faceswap:/srv -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY -e AUDIO_GID=`getent group audio | cut -d: -f3` -e VIDEO_GID=`getent group video | cut -d: -f3` -e GID=`id -g` -e UID=`id -u` deepfakes-gpu 5. Open a new terminal to interact with the project docker exec faceswap-gpu python /srv/tools.py gui A successful setup log, without docker. INFO The tool provides tips for installation and installs required python packages INFO Setup in Linux 4.14.39-1-MANJARO INFO Installed Python: 3.6.5 64bit INFO Installed PIP: 10.0.1 Enable Docker? [Y/n] n INFO Docker Disabled Enable CUDA? [Y/n] INFO CUDA Enabled INFO CUDA version: 9.1 INFO cuDNN version: 7 WARNING Tensorflow has no official prebuild for CUDA 9.1 currently. To continue, You have to build your own tensorflow-gpu. Help: https://www.tensorflow.org/install/install_sources Are System Dependencies met? [y/N] y INFO Installing Missing Python Packages... INFO Installing tensorflow-gpu INFO Installing pathlib==1.0.1 ...... INFO Installing tqdm INFO Installing matplotlib INFO All python3 dependencies are met. You are good to go.标签：tools tar mac info srv get tmp options VID
原文地址：https://www.cnblogs.com/2008nmj/p/10353381.html
