To use the docker image, use the following instructions:
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, browse to http://0.0.0.0:5000/demo.html and follow the given instructions.
To enable webcam on Chrome (change the path as required):
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --user-data-dir=/tmp/foo --unsafely-treat-insecure-origin-as-secure=http://0.0.0.0:5000
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
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