import numpy as np
import cv2

face_cascade = cv2.CascadeClassifier(
    'cascades/data/haarcascade_frontalface_alt.xml')

cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

while(True):
    # Capture fram-by-frame
    ret, frame = cap.read()

    # Our operations on the frame come here
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(
        gray, scaleFactor=1.1, minNeighbors=5)
    for (x, y, w, h) in faces:
        print(x, y, w, h)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        img_item = "my-image.png"

        color = (0, 255, 0)  # BGR
        stroke = 2
        cv2.rectangle(frame, (x, y), (x+w, y+h), color, stroke)

        cv2.imwrite(img_item, roi_gray)

    # Display the resulting frame
    cv2.imshow('frame', frame)
    if cv2.waitKey(20) & 0xFF == ord('q'):
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()