# Import required libraries
import cv2
import numpy as np
import dlib


# Connects to your computer's default camera
cap = cv2.VideoCapture(0)


# Detect the coordinates
detector = dlib.get_frontal_face_detector()


# Capture frames continuously
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)

    # Iterator to count faces
    i = 0
    for face in faces:

        # Get the coordinates of faces
        x, y = face.left(), face.top()
        x1, y1 = face.right(), face.bottom()
        cv2.rectangle(frame, (x, y), (x1, y1), (0, 255, 0), 2)

        # Increment iterator for each face in faces
        i = i+1

        # Display the box and faces
        cv2.putText(frame, 'face num'+str(i), (x-10, y-10),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
        # print(face, i)

    # Display the resulting frame
    cv2.imshow('frame', frame)

    # This command let's us quit with the "q" button on a keyboard.
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break


# Release the capture and destroy the windows
cap.release()
cv2.destroyAllWindows()