import numpy as np
import cv2

cap = cv2.VideoCapture(0)

# Define the codec and create VideoWriter object
#ourcc = cv2.cv.CV_FOURCC(*'XVID')  # cv2.VideoWriter_fourcc() does not exist
#ut = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))
kernel = np.ones((3,3),np.float32)/9

while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True:
        frame = cv2.flip(frame,1)
        # write the flipped frame
#       out.write(frame)
#	dst = cv2.filter2D(frame,-1,kernel)
	dst = cv2.blur(frame,(5,5))
	gauss = cv2.GaussianBlur(frame,(5,5),0)
	grises = cv2.cvtColor(gauss,cv2.COLOR_BGR2GRAY)
	grisesoriginal = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
	th3 = cv2.adaptiveThreshold(grises,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
	th3original = cv2.adaptiveThreshold(grisesoriginal,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
        cv2.imshow('frame',frame)
        cv2.imshow('Gaussiano',gauss)
        cv2.imshow('Umbral_sin filtro',th3original)
        cv2.imshow('img filtrada gaussiana umbral gauss',th3)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break

# Release everything if job is finished
cap.release()
out.release()
cv2.destroyAllWindows()