OpenCV face detection

Haar_Cascades_Example.py

# Initialize video_capture to get camera feed
video_capture = cv2.VideoCapture(0)
video_capture.set(3, 320)
video_capture.set(4, 240)

# Grab a single frame from WebCam
ret, frame = video_capture.read()

# Initialize haar cascade
detect_faces = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')

# Find all the faces and face enqcodings in the frame
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detect_faces.detectMultiScale(gray, 1.3,5)
    
# Store all the faces locations in one list
face_locations = []
for (x,y,w,h) in faces:
    temp_tuple = (y, x+w, y+h, x)
    face_locations.append(temp_tuple)