camera.py

import cv2

cascPath = 'haarcascade_frontalface_dataset.xml'  # dataset
faceCascade = cv2.CascadeClassifier(cascPath)

video_capture = cv2.VideoCapture(0)  # 0 for web camera live stream
#  for cctv camera'rtsp://username:password@ip_address:554/user=username_password='password'_channel=channel_number_stream=0.sdp'
#  example of cctv or rtsp: 'rtsp://mamun:123456@101.134.16.117:554/user=mamun_password=123456_channel=1_stream=0.sdp'


def camera_stream():
     # Capture frame-by-frame
    ret, frame = video_capture.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.CASCADE_SCALE_IMAGE
    )

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

    # Display the resulting frame in browser
    return cv2.imencode('.jpg', frame)[1].tobytes()