Dockerfile

# ------- Build Command docker build -t img-starter -f d-starter .
# Simply, because you cannot have multiple base images in a Dockerfile
# https://runnable.com/blog/9-common-dockerfile-mistakes

#-------- Starter developing image

FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu18.04

ENV PATH=/usr/local/cuda-10.0/bin${PATH:+:${PATH}}
ENV LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

# ------- Installation Web Server dependendencies

RUN apt-get update && apt-get install -y \
    git \
    cmake \
    vim \
    net-tools  \
    wget \
    htop \
    unzip \
    libsm6  \
    libxext6 \
    libxrender-dev \
    libgtk2.0-dev

ENV HOME=/root

# ------- Installation Python dependendencies

RUN apt-get update && apt-get install -y python3-pip python3-dev libmysqlclient-dev

RUN /bin/bash -c  "pip3 install numpy \
                    scipy  \
                    tornado \
                    imutils \
                    pyinotify \
                    mysqlclient \
                    pandas \
                    matplotlib \
                    scikit-learn \
                    Pillow cython  \
                    opencv-python \
                    opencv-contrib-python"  
			
#------------------ TEXT RECOGNITION REQUIREMENTS 
RUN /bin/bash -c  "pip3 install torchvision torch scikit-image lmdb natsort"


# docker build -t deep-learning:text_recognition .
#xhost +local:docker &&  docker run --runtime=nvidia  --rm -it --name deep_learning_face_recognition  \
#--env="DISPLAY=$DISPLAY" --env="QT_X11_NO_MITSHM=1" --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" --device=/dev/video0  \
#-v $HOME/visiont3lab-github/face_recognition:/root/home/ws bajibajang/deep-learning:text_recognition \
# /bin/bash -c "cd /root/home/ws/algorithm/ && python3 custom_face_recognition.py"