import numpy as np
import cv2
import time

cap = cv2.VideoCapture(0)

def mayorContorno(contornos):
	mayor=0;puntosmax=0;i=0
	for cont in contornos:
	#	print puntosmax, len(cont)
		if puntosmax < len(cont):
			mayor = i
			puntosmax=len(cont)
		i = i + 1
	return mayor

while(True):
    # Capture frame-by-frame
    ret, img = cap.read()
    It = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    It = cv2.adaptiveThreshold(It,255,cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV,7,2)
    contours,hierarchy = cv2.findContours(It, 1, 2)
    mayor = mayorContorno(contours)
    cv2.drawContours(img, contours[mayor], -1, (0,255,0), 1)
    hull = cv2.convexHull(contours[mayor]) 

    print hull[0], hull[len(hull)-1]
    cv2.drawContours(img, [hull], -1, (255,0,0), 3)

    # Display the resulting frame
    cv2.imshow('Imagen en tiempo t',img)
    cv2.imshow('Imagen contonrnos',It)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

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