Based on ufoym/deepo:keras-py36, upgrade tensorflow version to 1.13.1
Based on ufoym/deepo:pytorch-py36-cu80, change apt source and pip source to Chinese.
Based on wenfengand/deepo:pytorch-py36-cu80, install opencv-python, version 4.1.0.25.
Based on ufoym/deepo:keras-py36-cu80, add jupyterlab module.
Usage:
DIR1="`dirname $BASH_SOURCE`"
MYDIR=`readlink -f "$DIR1"`
nvidia-docker run --rm \
--name jupyterlab \
-v /home1/dataset/ECG:/workspace/input \
-v $MYDIR:/workspace \
-e PYTHONPATH=/workspace/python_lib:/workspace/src \
--net=host \
-d wenfengand/deepo:keras-py36-cu80-jupyterlab
Run this command, get token from docker logs jupyterlab and visit ip:8888.
Dockerfile:
FROM ufoym/deepo:keras-py36-cu80
# MAINTAINER
MAINTAINER [email protected]
COPY pip.conf /root/.pip/pip.conf
COPY sources.list /etc/apt/sources.list
# running required command
RUN pip install jupyterlab && jupyter serverextension enable --py jupyterlab
ENV LANG=C.UTF-8
# change dir to /
WORKDIR /workspace
CMD jupyter lab --ip=* --port=8888 --no-browser --notebook-dir=/workspace --allow-root
Content type
Image
Digest
Size
1.5 GB
Last updated
almost 7 years ago
docker pull wenfengand/deepo:keras-py36-cu80-jupyterlab