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