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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
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Choose one of these [IMAGE_NAME]: cuda-caffe-matlab, matlab-anaconda-cuda7.0-cudnn4, pspnet, mxnet
docker pull soonminh/IMAGE_NAME
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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/
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To use gui interface,
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Use follow options:
-v /tmp/.X11-unix:/tmp/.X11-unix:ro \ -e DISPLAY=$DISPLAY
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To use matlab in docker container,
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Specify several variables (modify follows depending on your MATLAB version & mac address)
export MATLAB_ROOT=/usr/local/MATLAB/R2015b export MATLAB_LOGS=/home/rcvlab/matlab-logs export MATLAB_MAC_ADDRESS=11:22:33:44:55:66 -
Use follow options:
-v "$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)
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Example
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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
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- 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:
ๅ
Else,
$ export LANG=C.UTF-8
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