face_counting_cv2.py

import cv2

cap = cv2.VideoCapture(0)

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")


while True:
    ret,frame = cap.read()
    gray_frame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)


    if ret == False:
        continue

    faces = face_cascade.detectMultiScale(frame,1.3,5)

    print(str(len(faces)) + " Face (s) Found !")

    for (x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)

    cv2.imshow("Video Frame",frame)

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

cap.release()
cv2.destroyAllWindows()