sniper_CV.py

import cv2
import numpy as np
y,u,v = 0,142,56

cap = cv2.VideoCapture(0)
rec=True
while rec:
	rec,img = cap.read()
	img_yuv = cv2.cvtColor(img,cv2.COLOR_BGR2YUV)
	
	blur = cv2.GaussianBlur(img_yuv,(11,11),2)
	ball = cv2.inRange(blur, (np.array([0,u-30,v-30])), (np.array([255,u+30,v+30])))
	im_floodfill = ball.copy()
	h, w = ball.shape[:2]
	mask = np.zeros((h+2, w+2), np.uint8)
	cv2.floodFill(im_floodfill, mask, (0,0), 255)
	fill = cv2.bitwise_and(im_floodfill,im_floodfill,mask = ball)

	if cv2.waitKey(25)&0xff==27:
	    break

	cv2.rectangle(img, (310,230), (330,250), (255,255,255),2)
	crop_img = fill[230:250, 310:330]

	images,s_contour,hierarchy = cv2.findContours(crop_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

	images,contour,hierarchy = cv2.findContours(fill,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

	cv2.drawContours(img, contour, -1, (0,255,0), 2)

	cv2.imshow("",img)
	cv2.imshow("mask",im_floodfill)

	if len(s_contour)>=1:
		print "Found"
		break
		
	elif len(contour)>=1:
		cnt = contour[0]
		(x,y),radius = cv2.minEnclosingCircle(cnt)
		center = (int(x),int(y))
		#point = cv2.circle(img,center,radius,(0,0,255),2)
		if center[0]>320 and center[1]>240:
			print "1,1"
		if center[0]<320 and center[1]>240:
			print "0,1"
		if center[0]>320 and center[1]<240:
			print "1,0"
		if center[0]<320 and center[1]<240:
			print "0,0"


	
	else :
		print "not detected"

cv2.destroyAllWindows()
cap.release()