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Last pushed: a month ago
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Test
Full Description

Repository for dockerfiles


  1. cuda-caffe-matlab

     Ubuntu 14.04 + cuda 8.0 + cudnnv5 + caffe/matlab dependencies
    
  2. matlab-anaconda-cuda7.0-cudnn4

     Ubuntu 14.04 + cuda7.0 + cudnnv4 + matlab dependencies + anaconda
    
  3. PSPNet: based on "matlab-anaconda-cuda7.0-cudnn4"

     caffe dependencies
    
  4. MXNet for Resnet-38 segmentation [Link]

     Ubuntu 14.04 + cuda 8.0 + cudnnv5.1 + mxnet
    

Usage


Pull docker image

  1. Choose one of these [IMAGE_NAME]: cuda-caffe-matlab, matlab-anaconda-cuda7.0-cudnn4, pspnet, mxnet

     docker pull soonminh/IMAGE_NAME
    

Or Build Docker image on your machine

  1. Preparation: generate Dockerfile with name

     ./make_dockerfile.sh matlab-anaconda-cuda7.0-cudnn4
    
  2. matlab-anaconda-cuda7.0-cudnn4

     docker build -t soonminh/baseenv:mat-py-cuda7.0-cudnn4 matlab-anaconda-cuda7.0-cudnn4/
    

Run docker image

  1. To use gui interface,

    • Use follow options:

        -v /tmp/.X11-unix:/tmp/.X11-unix:ro \
        -e DISPLAY=$DISPLAY
      
  1. To use matlab in docker container,

    • Specify several variables (modify follows depending on your MATLAB version & mac address)

        export MATLAB_ROOT=/usr/local/MATLAB/R2015b
        export MATLAB_LOGS=/home/rcvlab/matlab-logs
        export MATLAB_MAC_ADDRESS=11:22:33:44:55:66
      
    • Use follow options:

        -v "$MATLAB_ROOT":/usr/local/MATLAB/from-host \
        -v "$MATLAB_LOGS":/var/log/matlab \
        --mac-address="$MATLAB_MAC_ADDRESS"
      
    • For more details, please refer original description (ninjaben/matlab-support)

  2. Example

    • My case,

        $ export MATLAB_ROOT=/usr/local/MATLAB/R2015b
        $ export MATLAB_LOGS=/home/rcvlab/matlab-logs
        $ export MATLAB_MAC_ADDRESS=11:22:33:44:55:66
      
        $ echo 'alias caffematlabos='sudo nvidia-docker run -it -u rcvlab \
                -v /tmp/.X11-unix:/tmp/.X11-unix:ro \
                -e DISPLAY=$DISPLAY \
                -v "$MATLAB_ROOT":/usr/local/MATLAB/from-host \
                -v "$MATLAB_LOGS":/var/log/matlab \
                --mac-address="$MATLAB_MAC_ADDRESS" \
                soonminh/baseenv:mat-py-cuda7.0-cudnn4' >> ~/.bashrc
      
        $ source ~/.bashrc
        $ caffematlabos
      

Tips

- Use mount in container (connect network drive)
        $ sudo nvidia-docker run -it \
        --cap-add SYS_ADMIN --device /dev/fuse --security-opt apparmor:unconfined $DOCKER_IMAGE_NAME

- Add your account into sudo group & set password,    
        $ sudo nvidia-docker run -it --name base -u root soonminh/baseenv:mat-py-cuda7.0-cudnn4
        $ adduser USER_NAME sudo
        $ passwd USER_NAME
        $ exit
        $ docker commit base soonminh/baseenv:mat-py-cuda7.0-cudnn4


- Deprecated (Below procedure is already done in Dockerfile),

        $ id (remember id number = USER_ID_NUM)
        $ sudo nvidia-docker run -it -name base -u root soonminh/baseenv:mat-py-cuda7.0-cudnn4
        $ groupadd -r USER_NAME -g USER_ID_NUM
        $ useradd -u USER_ID_NUM -g USER_NAME -m -s /bin/bash USER_NAME
        $ adduser USER_NAME sudo
        $ passwd USER_NAME
        $ docker commit base soonminh/baseenv:mat-py-cuda7.0-cudnn4

- Set alias,

        $ echo -e alias pspnetos=\"sudo nvidia-docker run -it -u ${USER_NAME} \\n
            \t -v /tmp/.X11-unix:/tmp/.X11-unix:ro \\n
            \t -e DISPLAY=$DISPLAY \\n
            \t -v $MATLAB_ROOT:/usr/local/MATLAB/from-host \\n
            \t -v $MATLAB_LOGS:/var/log/matlab \\n
            \t --mac-address=$MATLAB_MAC_ADDRESS \\n
            \t -v ~/workspace:/home/rcvlab/workspace \\n
            \t -v /mnt/HDD4TB:/mnt/HDD4TB \\n
            \t -v /media/rcvlab/New4TB:/media/rcvlab/New4TB \\n
            \t soonminh/pspnet:latest\" >> ~/.bashrc
        $ source ~/.bashrc

If you are struggling with python-unicode problem, see here

$ python -c "print(chr(0x5555))"
On a correctly configured system, it gives:
啕
Else,
$ export LANG=C.UTF-8
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soonminh
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