import numpy as np
import cv2

cap = cv2.VideoCapture(0)

def mayorContorno(contornos):
        mayor=0;puntosmax=0;i=0
        for cont in contornos:
        #       print puntosmax, len(cont)
                if puntosmax < cv2.contourArea(cont):
                        mayor = i
                        puntosmax=cv2.contourArea(cont)
                i = i + 1
        return mayor


# 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.uint8)

while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True:
	img = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
	# Output dtype = cv2.CV_8U
	edges = cv2.Canny(img,100,240)
	contours, hierarchy = cv2.findContours(edges,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
	micontorno= mayorContorno(contours)
	print len(contours[micontorno])
#	cv2.drawContours(frame, contours, micontorno, (0,255,255), 1)
	cnt = contours[micontorno]
	M = cv2.moments(cnt)
#	hull = cv2.convexHull(cnt)
#	print len(hull),hull[0]
	cv2.drawContours(frame, contours, -1, (0,255,255), 4)
	
	if M['m00'] != 0:
		cx = int(M['m10']/M['m00'])
		cy = int(M['m01']/M['m00'])
		perimeter = cv2.arcLength(cnt,False)
#		print( "cx=%d cy=%d Area=%d o %d Perimetro=%d" % (cx, cy, M['m00'],cv2.contourArea(cnt),perimeter))
#		epsilon = 0.1*cv2.arcLength(cnt,False)
#		approx = cv2.approxPolyDP(cnt,epsilon,False)
#		cv2.drawContours(frame, [approx], 0, (255,5,5), 1)
        cv2.imshow('frame',frame)
        cv2.imshow('Bordes',edges)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break

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