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Live Streaming and Face Detection with Flask in Browser

License: MIT License

Python 69.62% HTML 30.38%

python flask face-detection rtsp-stream streaming video-streaming camera-stream stream-api live-streaming open-cv

live-stream-face-detection's Introduction

Live Streaming and Face Detection with Flask

pip install -r requirements.txt

Run Server

python app.py

Use Built-in Webcam of Laptop

Put Zero (O) in cv2.VideoCapture(0)

cv2.VideoCapture(0)

Use Ip Camera/CCTV/RTSP Link

cv2.VideoCapture('rtsp://username:password@camera_ip_address:554/user=username_password='password'_channel=channel_number_stream=0.sdp')

Example RTSP Link

cv2.VideoCapture('rtsp://mamun:[email protected]:554/user=mamun_password=123456_channel=0_stream=0.sdp')

Change Channel Number to Change the Camera

cv2.VideoCapture('rtsp://mamun:[email protected]:554/user=mamun_password=123456_channel=1_stream=0.sdp')

Display the resulting frame in browser

cv2.imencode('.jpg', frame)[1].tobytes()

Display the resulting frame in window

Instead of return use this in camera.py

cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
       break

Learn More

Learn More about Streaming with flask

https://blog.miguelgrinberg.com/post/video-streaming-with-flask

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live-stream-face-detection's Issues

ImportError: No module named cv2

Hi,
I get this error when I try to run the "app.py"
Any way to solve this?

Traceback (most recent call last):
  File "app.py", line 3, in <module>
    from camera import camera_stream
  File "/root/livestreamrecognition/live-stream-face-detection/camera.py", line 1, in <module>
    import cv2
ImportError: No module named cv2

Thanks!

Can it generate iframe?

Hello akmamun, i have a question about your rep. Can the result used in html like using <iframe> tag?

bash: syntax error near unexpected token `URL' when running `cv2.VideoCapture('URL')`

When I try to run:
cv2.VideoCapture("URL")

I get an error:
bash: syntax error near unexpected token "URL"

What might be the problem?
Tnx!

Akmamum can u please suggest me how can i add mu liveness detection model to the following code

Can I convert the same to real time liveness face detection

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