Live Video Stream (Flask+OpenCV)

WebStreaming + Motion detector algorithm will detect motion by form of background subtraction

Prerequisites:

• pip install flask
• pip install numpy
• pip install opencv-contrib-python
• pip install imutils

Usage Examples:

Live streaming from local device, i.e. camera which is physically connected to the host machine/server (both commands are equivalent):
% python app.py --device_ip 0.0.0.0 --server_port 8000
% env DEVICE_IP="0.0.0.0" SERVER_PORT=8000 ./app.py

Live streaming from Spain:
% env DEVICE_IP="0.0.0.0" SERVER_PORT=8000 REMOTE_IP="http://109.186.51.37:60001/cgi-bin/snapshot.cgi?chn=0&u=admin&p=&q=0&COUNTER" ./app.py

Live streaming from Israel:
% env DEVICE_IP="0.0.0.0" SERVER_PORT=8000 REMOTE_IP="http://185.10.80.33:8082/cgi-bin/faststream.jpg?stream=half&fps=15&rand=COUNTER" ./app.py

Note:

MULTI_THREAD_EN env can be applied for enabling/disabling multi-thread setup, i.e. whether or not video processing
will be done in a separate thread or not (might become sensitive when running in a production server).

References:

1. https://www.pyimagesearch.com/2019/09/02/opencv-stream-video-to-web-browser-html-page
2. https://www.pyimagesearch.com/2019/04/15/live-video-streaming-over-network-with-opencv-and-imagezmq
3. https://www.pyimagesearch.com/2017/02/06/faster-video-file-fps-with-cv2-videocapture-and-opencv
4. https://stackabuse.com/deploying-a-flask-application-to-heroku
5. https://github.com/mrxmamun/camera-live-streaming
6. https://github.com/mrxmamun/live-stream-face-detection
7. https://www.insecam.org