camera_test.py

import numpy as np
import cv2

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

fourcc = cv2.VideoWriter_fourcc(* 'XVID')
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))


cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-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, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y),
                      (x+w, y+h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y + h, x:x + w]
        out.write(frame)
        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)

    # Display the resulting frame
    cv2.imshow('frame', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

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