Dockerfile

FROM ubuntu:16.04

#MAINTAINER Gary Bradski

########################################################################
# Running this docker to set up a shared directory and display with the host:
#
# To newly create and build this docker image:
# ============================================
#
# Create a directory <container_name>: 
#    $ mkdir <container_name>
# Copy this Dockerfile into that directory:
#    cp Dockerfile <container_name>/.
# Move to that directory:
#    $ cd <container_name>
# To build the docker file (might have to run with sudo 
#    $ sudo docker build -t <container_name> .
#
# To run the image, or run it again retaining its state 
# =====================================================
#    but also exporting display from the container and
#    sharing a directory between host and container:
#
# Allow other processes to share the display:
#    $ xhost +    #Allows or other processes to capture (show) the display
# Now run the docker (Usually $DISPLAY is :0) and allow use of the camera -- you may need sudo privalage
#    $ sudo docker run  -it  -e DISPLAY=$DISPLAY  -v /tmp/.X11-unix:/tmp/.X11-unix \
#                       --device /dev/video0 \
#                       -v /<path_to_a host_directory>/<directory_on_host>/:/<directory_path/name>/  <container_name>
#
# =======================================================
# Handy docker commands:
# List all the docker images
#    $ sudo docker ps -a  
# If the docker image is stopped (otherwise can skip the first command below if not stopped)
#    $ sudo docker start <container ID from ps -a above>
#    $ sudo docker attach <container ID from ps -a above>
########################################################################
# This is a docker file which will, from scratch:
#
#   * pull in all the dependencies needed for OpenCV 3.2 including python 2 dependencies
#   * pull in OpenCV 3.2 and opencv_contrib and build them
#       + executable files end up in opencv-3.2.0/build/bin
#   * pull in the Learning OpenCV 3 example code and build it
#       + executable files end up in Learning_OpenCV-3_examples/build
#   * To get to the top level directory, just type: cd
#
# If you just want to do this "by hand" in your home, replace the "RUN"s below with "sudo"
#
# This Docker uses the ubuntu 16.04 version of ffmpeg, which is older than the ones in my other dockerfiles.
# this shouldn't cause you any problems but definitely *DO NOT* use this for generating audiofiles / movies for redistribution.
#
# But it is somewhat less capable than the ones in the ffmpeg containers.
########################################################################


# First: get all the dependencies:
#
RUN apt-get update
RUN apt-get install -y cmake git libgtk2.0-dev pkg-config libavcodec-dev \
libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev \
libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev unzip

RUN apt-get install -y wget

# Just get a simple editor for convienience (you could just cancel this line)
RUN apt-get install -y vim


# Second: get and build OpenCV 3.2
#
RUN cd \
    && wget https://github.com/opencv/opencv/archive/3.2.0.zip \
    && unzip 3.2.0.zip \
    && cd opencv-3.2.0 \
    && mkdir build \
    && cd build \
    && cmake .. \
    && make -j8 \
    && make install \
    && cd \
    && rm 3.2.0.zip


# Third: install and build opencv_contrib
#
RUN cd \
    && wget https://github.com/opencv/opencv_contrib/archive/3.2.0.zip \
    && unzip 3.2.0.zip \
    && cd opencv-3.2.0/build \
    && cmake -DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.2.0/modules/ .. \
    && make -j8 \
    && make install \
    && cd ../.. \
    && rm 3.2.0.zip


# Forth: get and build the Learning OpenCV 3 examples:
#    I copy the needed data to where the executables will be: opencv-3.2.0/build/bin
#
RUN cd \
    && git clone https://github.com/oreillymedia/Learning-OpenCV-3_examples.git \
    && cd Learning-OpenCV-3_examples \
    && mkdir build \
    && cd build \
    && cmake .. \
    && make -j8

#You could then run python and do your stuff...
#CMD ["python"]