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()
