## start with the Docker 'base Tensorflow1.4 for python3' Debian-based image

#FROM tensorflow/tensorflow:1.6.0-py3

FROM tensorflow/tensorflow:1.6.0-gpu-py3

#FROM tensorflow/tensorflow:latest-gpu-py3

##Install custom libraries

RUN apt-get update && apt-get install -y --no-install-recommends \

    python3-tk

# install dependencies from python packages

RUN pip3 --no-cache-dir install \

    pandas==0.21.0\

    scikit-learn==0.19.1 \

    scipy==1.1.0\

    scikit-image==0.15.0 \

    SimpleITK==1.1.0 \

    nibabel==2.2.1 \

    keras==2.2.4 \

    numpy==1.15.4

## Copying application code (present working directory) and configuration to docker image

COPY ./tool /tool

WORKDIR "/tool"

RUN bash /tool/bash_profile

ENTRYPOINT ["python3","./run_FatSegNet.py"]