Face Detection in using OpenCV & Python with Face Detection using Haar Cascades

face_detection.py

import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# Read the input image
#img = cv2.imread('test.png')
cap = cv2.VideoCapture('test.mp4')

while cap.isOpened():
    _, img = cap.read()

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.1, 4)

    for (x, y , w ,h) in faces:
        cv2.rectangle(img, (x,y), (x+w, y+h), (255, 0 , 0), 3)

    # Display the output
    cv2.imshow('img', img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()

cv2.rectangle(img, (x,y), (x+w), (y+h), (255,0,0),3)

cv2.error: OpenCV(4.7.0) 👎 error: (-5:Bad argument) in function 'rectangle'

Overload resolution failed:

• Can't parse 'pt2'. Input argument doesn't provide sequence protocol
• Can't parse 'pt2'. Input argument doesn't provide sequence protocol
• Can't parse 'rec'. Expected sequence length 4, got 2
• Can't parse 'rec'. Expected sequence length 4, got 2