Save frame for every detected face using Haar Cascades

SimpleFaceDetection.py

import cv2
import numpy as np

cap = cv2.VideoCapture('test.mp4')
#cap = cv2.VideoCapture(0) #tried using webcam and works
count = 0
while cap.isOpened():
    ret,frame = cap.read()
    cv2.imshow('window-name',frame)
   
    face_cascade = cv2.CascadeClassifier('C:/ProgramData/Anaconda2/pkgs/opencv-3.2.0-np111py27_0/Library/etc/haarcascades/haarcascade_frontalface_default.xml')
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.imwrite("frame%d.jpg" % count, frame)
        count = count + 1
    if cv2.waitKey(10) & 0xFF == ord('q'):
       break

cap.release()
cv2.destroyAllWindows()  # destroy all the opened windows