def getFingerValues(self, finger, countoflines, blona):
		fingerlenghts = [] 
		top = finger.toppoint
		down = finger.halfpoint
		rightfingercontour = v2.getPartOfContour(self.contourmap[finger.rightpoint], self.contourmap[finger.toppoint], self.contour)
		leftfingercontour = v2.getPartOfContour(self.contourmap[finger.leftpoint], self.contourmap[finger.toppoint], self.contour)
		
		if blona:
			cv.line(self.img, finger.leftpoint, finger.shortestleftpoint, [145,0,255], 5)
			cv.line(self.img2, finger.leftpoint, finger.shortestleftpoint, [145,0,255], 5)
			fingerlenghts.append(v2.EuclideanDistance(finger.leftpoint, finger.shortestleftpoint))

		cv.line(self.img, top, down, [255,0,0], 5)
		cv.line(self.img2, top, down, [255,0,0], 5)
		fingerlenghts.append(v2.EuclideanDistance(top, down))

		f = v2.getFunctionFromPoints(top, down)
		x = self.getPointsOnLine(top,down,f,countoflines,100)
		for i in x:
			cv.circle(self.img,i,10,[150,0,0],-1)
			cv.circle(self.img2,i,10,[150,0,0],-1)
			rafunc = v2.findRightAngleFunction(f, i)
			rightpoint, addedr = v2.getPreciseCrossPointFuncionAndContour(rafunc,i,rightfingercontour)
			leftpoint, addedl = v2.getPreciseCrossPointFuncionAndContour(rafunc,i,leftfingercontour)
			#cv.circle(self.img,rightpoint,10,[50,0,0],-1)
			#cv.circle(self.img,leftpoint,10,[200,0,0],-1)
			cv.line(self.img, rightpoint, leftpoint, [0,150,0], 5)
			cv.line(self.img2, rightpoint, leftpoint, [0,150,0], 5)
			cv.line(self.img, addedr, addedl, [0,250,0], 5)
			cv.line(self.img2, addedr, addedl, [0,250,0], 5)
			fingerlenghts.append(v2.EuclideanDistance(addedr, addedl))
		return fingerlenghts
def findMainDefectsV2(contour, hull, img):
	defects = []
	startpos = hull[0][0]

	for i in range(1,len(hull)+1):
		endpos = hull[i%len(hull)][0]
		hullfunc = v2.getFunctionFromPoints(tuple(contour[startpos][0]),tuple(contour[endpos][0]))
		partofcontour = v2.getPartOfContour(startpos,endpos,contour)
		dist, defectpoint = v2.getDistanceBeetwenFunctionAndContour(hullfunc,partofcontour)
		defects.append([endpos,startpos,mapContour[defectpoint],dist])
		cv.circle(img,defectpoint,5,[255,255,255],-1)
		startpos = endpos

	maindefects = []
	for i in defects:
		s,e,f,d = i
		start = tuple(contour[s][0])
		end = tuple(contour[e][0])
		far = tuple(contour[f][0])
		#print(d)
		if d > 30 and d < 3000 and v2.EuclideanDistance(start,end) > 50:
			maindefects = [i] + maindefects
			#cv.circle(img,start,15,[110,80,240],-1)
			cv.circle(img,far,30,[0,255,0],-1)
			#cv.circle(img,end,15,[70,50,190],-1)
		if v2.EuclideanDistance(start,end) > 50:
			cv.circle(img,start,15,[110,80,240],-1)
			#cv.circle(img,far,30,[0,255,0],-1)
			cv.circle(img,end,15,[70,50,190],-1)
	#print("maindefects",maindefects)
	return maindefects