import numpy as np
import cv2
import cv

cap = cv2.VideoCapture(0)

# take first frame of the video
ret,frame = cap.read()

clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
while(1):
    ret ,frame = cap.read()

    if ret == True:
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
	cl1 = clahe.apply(hsv)

#	print track_window
        cv2.imshow('frame',hsv)
        cv2.imshow('clahe',cl1)

        k = cv2.waitKey(60) & 0xff
        if k == 27:
            break
        else:
            cv2.imwrite(chr(k)+".jpg",cl1)

    else:
        break

cv2.destroyAllWindows()
cap.release()