Counting Faces

import cv2

import numpy as np

import dlib

cap = cv2.VideoCapture(0)

# Detect the coordinates

detector = dlib.get_frontal_face_detector()

while True:

# Capture frame-by-frame

ret, frame = cap.read()

frame = cv2.flip(frame, 1)

# RGB to grayscale

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = detector(gray)

i = 0

for face in faces:

x, y = face.left(), face.top()

x1, y1 = face.right(), face.bottom()

cv2.rectangle(frame, (x, y), (x1, y1), (0, 255, 0), 2)

i = i+1

cv2.putText(frame, 'face num'+str(i), (x-10, y-10),

cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)

print(face, i)

cv2.imshow('frame', frame)

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

break

cap.release()

cv2.destroyAllWindows()