FACE_detect.py

import cv2

## Just base function for detectiong the face and counting
faceCascade = cv2.CascadeClassifier(cv2.haarcascades+'haarcascade_frontalface_default.xml')
def face_detect(image):
    i = 0
    img = cv2.imread(image)
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray,1.3,5)
    print(faces)
    print("Found {0} faces!".format(len(faces)))
    for (x, y, w, h) in faces:
        i = i+1
        cv2.rectangle(img, (x, y), (x + w, y + h), (95, 207, 30), 3)
        cv2.rectangle(img, (x, y - 40), (x + w, y),(95, 207, 30) , -1)
        cv2.putText(img, 'F-'+str(i), (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 0), 2)
    cv2.imshow("Faces found", img)
    cv2.waitKey(0)

face_detect('./test_images/t4.jpg')