├── Dockerfile
└── README.md


/Dockerfile:
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 1 | FROM 	ubuntu:16.04
 2 | 
 3 | RUN 	apt-get update && \
 4 | 	apt-get upgrade -y && \
 5 | 	apt-get install -y --no-install-recommends python python-dev python-pip build-essential cmake git pkg-config libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev libgtk2.0-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libatlas-base-dev gfortran libavresample-dev libgphoto2-dev libgstreamer-plugins-base1.0-dev libdc1394-22-dev  && \
 6 | 	pip install numpy && \
 7 | 	cd /opt && \
 8 | 	git clone https://github.com/opencv/opencv_contrib.git && \
 9 | 	cd opencv_contrib && \
10 | 	git checkout 3.4.0 && \	
11 | 	cd /opt && \
12 | 	git clone https://github.com/opencv/opencv.git && \
13 | 	cd opencv && \
14 | 	git checkout 3.4.0 && \
15 | 	mkdir build && \
16 | 	cd build && \
17 | 	cmake 	-D CMAKE_BUILD_TYPE=RELEASE \
18 | 		-D BUILD_NEW_PYTHON_SUPPORT=ON \
19 | 		-D CMAKE_INSTALL_PREFIX=/usr/local \
20 | 		-D INSTALL_C_EXAMPLES=OFF \
21 | 		-D INSTALL_PYTHON_EXAMPLES=OFF \
22 | 		-D OPENCV_EXTRA_MODULES_PATH=/opt/opencv_contrib/modules \
23 | 		-D PYTHON_EXECUTABLE=/usr/bin/python2.7 \
24 | 		-D BUILD_EXAMPLES=OFF /opt/opencv && \
25 | 	make -j $(nproc) && \
26 | 	make install && \
27 | 	ldconfig && \
28 | 	apt-get purge -y git && \
29 | 	apt-get clean && rm -rf /var/lib/apt/lists/* && \
30 | 	rm -rf /opt/opencv*
31 | 
32 | CMD /bin/bash
33 | 


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/README.md:
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 1 | # Ubuntu 16.04 with OpenCV+Modules and python2.7
 2 | 
 3 | Docker image based on Ubuntu 16.04 with python 2.7 and compiled opencv 3.4.0 with all modules from https://github.com/opencv/opencv_contrib
 4 | 
 5 | # License
 6 | 
 7 | * https://github.com/opencv/opencv/blob/master/LICENSE
 8 | * https://github.com/opencv/opencv_contrib/blob/master/LICENSE
 9 | 
10 | # Usage
11 | 
12 | In your python script simply import OpenCV `import cv2`.
13 | 
14 | # Use Camera
15 | 
16 | `$ xhost +local:   # (optional) for displaying images with cv.imshow()`
17 | 
18 | `$ docker run -it --rm --device=/dev/video0 -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -v ~/myscripts/:/data dymat/opencv python /data/video.py`
19 | 
20 | # Version built with CUDA
21 | 
22 | If you need OpenCV with CUDA support:
23 | 
24 | `$ docker pull dymat/opencv:cuda`
25 | 
26 | # Use on ARM-Architectures
27 | 
28 | If you want to use this image on ARM-Architectures use `dymat/opencv:arm32v7`, which is based on `arm32v7/ubuntu` and compiled on Raspberry Pi 3 (ARMv7).
29 | 
30 | `$ docker pull dymat/opencv:arm32v7`
31 | 


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