import numpy as np
import cv2

face_cascade = cv2.CascadeClassifier('../data/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('../data/haarcascade_eye.xml')

# img = cv2.imread('../indian_team.jpg')
# gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#
# cv2.imshow('indian_team.jpg',img)
#
# faces = face_cascade.detectMultiScale(gray, 1.3, 5)
# for (x,y,w,h) in faces:
#     img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
#     roi_gray = gray[y:y+h, x:x+w]
#     roi_color = img[y:y+h, x:x+w]
#     eyes = eye_cascade.detectMultiScale(roi_gray)
#     for (ex,ey,ew,eh) in eyes:
#         cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
#
# cv2.imshow('img',img)
# cv2.waitKey(10000)
# cv2.destroyAllWindows()

cam = cv2.VideoCapture(0)
img = ''
# show webcam stream
while cam.isOpened():
    # read frame from cam
    ret, img = cam.read()
    # show frame

    # img = cv2.imread('../indian_team.jpg')
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x, y, w, h) in faces:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = img[y:y + h, x:x + w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

    cv2.imshow('img', img)
    # wait for key press
    key = cv2.waitKey(1) & 0xff
    # if ESC, exit
    if key == 27:
        break

