import cv2
import numpy as np
import Contour
import ColorObject
from Parameters import *

def ColoredArrow():
	#image = cv2.imread('couleur.png')
	image = cv2.imread('Bilateral.png')
	height, width, channels = image.shape
	mask = np.zeros((height, width, 3), dtype = "uint8")
	contours = Contour.FindContours(image)
	for cnt in contours:
		tmp = cv2.contourArea(cnt)
		approx = cv2.approxPolyDP(cnt, 0.01*cv2.arcLength(cnt, True), True)
		if len(approx) > 6 and len(approx) < 9 and tmp >  2000:
			print tmp
			cv2.drawContours(mask, [cnt], 0, (255,255,255), -1)
	cv2.imshow('Mask', mask)
	arrows = cv2.bitwise_and(image, mask)
	cv2.imshow('Arrows', arrows)
	cv2.imwrite('Arrows.png', arrows)
	cv2.waitKey(0)
	cv2.destroyAllWindows()
	return arrows

def FindColor(img):
	height, width, channels = img.shape	
	blueMask, blueRes = ColorObject.IsolateObject(img, LowerBlue, UpperBlue)
	redMask, redRes = ColorObject.IsolateObject(img, LowerRed, UpperRed)
	greenMask, greenRes = ColorObject.IsolateObject(img, LowerGreen, UpperGreen)
	greyRes = cv2.bitwise_xor(img, greenRes)
	greyRes = cv2.bitwise_xor(greyRes, redRes)
	greyRes = cv2.bitwise_xor(greyRes, blueRes)
	kernel = np.ones((5,5),np.uint8)
	greyRes = cv2.erode(greyRes,kernel,iterations = 1)
	cv2.imshow('Grey Arrow', greyRes)
	cv2.imshow('Red Arrow', redRes)
	cv2.imshow('Blue Arrow', blueRes)
	cv2.imshow('Green Arrow', greenRes)
	cv2.waitKey(0)
	cv2.destroyAllWindows()
	return
	
image = ColoredArrow()
FindColor(image)