Repository for dockerfiles

cuda-caffe-matlab

Ubuntu 14.04 + cuda 8.0 + cudnnv5 + caffe/matlab dependencies

matlab-anaconda-cuda7.0-cudnn4

Ubuntu 14.04 + cuda7.0 + cudnnv4 + matlab dependencies + anaconda

PSPNet: based on "matlab-anaconda-cuda7.0-cudnn4"
```
caffe dependencies
```

MXNet for Resnet-38 segmentation [Link]

Ubuntu 14.04 + cuda 8.0 + cudnnv5.1 + mxnet

Usage

Pull docker image

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

Preparation: generate Dockerfile with name

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

matlab-anaconda-cuda7.0-cudnn4

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

Run docker image

To use gui interface,

Use follow options:

-v /tmp/.X11-unix:/tmp/.X11-unix:ro \
-e DISPLAY=$DISPLAY

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)

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

SoonminHwang / dockers