VisionTest.py

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

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


while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()
# img = cv2.imread('sachin.jpg')
# gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # Our operations on the frame come here
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    # Display the resulting frame
    # cv2.imshow('frame',gray)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    print faces
    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(0)
cv2.destroyAllWindows()
#     if cv2.waitKey(1) & 0xFF == ord('q'):
#         break

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