vishwesh5/cv-docker repository overview

Use:

docker run --device=/dev/video0:/dev/video0 -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -p 5000:5000 -p 8888:8888 -it spmallick/opencv-docker:opencv-3.4.1 /bin/bash

To use the docker image, use the following instructions:

For OpenCV-3.4.1: docker pull vishwesh5/cv-docker:latest

docker run -it -p 8888:8888 -p 5000:5000 vishwesh5/cv-docker /bin/bash

For OpenCV-master branch: docker pull vishwesh5/cv-docker:cv-4

docker run -it -p 8888:8888 -p 5000:5000 vishwesh5/cv-docker:cv-4 /bin/bash

For OpenCV-3.4.1 and Flask application for face recognition: docker pull vishwesh5/cv-docker:withFlask

docker run -it -p 8888:8888 -p 5000:5000 vishwesh5/cv-docker:withFlask

To run Flask application for face recognition: source activate OpenCV-3.4.1-py3 cd /home/jovyan/work/face-recognition-web-app flask run --host=0.0.0.0

Open your web browser (Mozilla Firefox works but Google Chrome does NOT), browse to http://0.0.0.0:5000/demo.html and follow the given instructions.

To run jupyter-notebook: jupyter-notebook

Open your web browser, browse to http://0.0.0.0:8888 and use the token present in the log.

To use Python environments:

source activate OpenCV-3.4.1-py2 ipython import cv2 cv2.__version__ exit() source deactivate

Similarly for Python 3.6,

source activate OpenCV-3.4.1-py3 ipython import cv2 cv2.__version__ exit() source deactivate

For OpenCV-master branch installation, replace OpenCV-3.4.1-py2 with OpenCV-master-py2 and OpenCV-3.4.1-py3 with OpenCV-master-py3.

The image also has dlib installed for both Python environments.

source activate OpenCV-3.4.1-py2 ipython import dlib dlib.__version__ exit() source deactivate