# import the necessary packages
import numpy as np
import argparse
import imutils
import cv2

# construct the argument parser and parse the arguments
#if you are using image from camera capture comment part below
ap = argparse.ArgumentParser()

ap.add_argument("-f", "--frame", required = True, help = "Path to the frame image")
ap.add_argument("-g", "--goal", required = True, help = "Path to the goal image")
args = vars(ap.parse_args())

#load the frame and goal images
goal = cv2.imread(args["goal"])
(goalHeight, goalWidth) = goal.shape[:2]
status = " No Target"

frame cv2.imread(args["frame”])

#if using camera capture comment above line and uncomment below line:
#{camera = PiCamera()
#camera.resolution = (640, 480)
#rawCapture = PiRGBArray(camera)
# grab an image from the camera
#camera.capture(rawCapture, format="bgr")
#frame = rawCapture.array

frame imutils.resize(frame, height = 640)

#find the goal in the frame and keep looping
center = (0,0)
topLeft = maxLoc
botRight = (topLeft[0] + goalWidth, topLeft[1] + goalHeight)
roi = frame[topLeft[1]:botRight[1], topLeft[0]:botRight[0]]
center = (topLeft[0] + goalWidth/2, topLeft[1] + goalHeight/2)
print center
if center > (0,0):
    status = "Target detected @ "+ str(center)
# draw the status text on the frame
cv2.putText(frame, "mindsensors.com target detection Demo", (20, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
cv2.putText(frame, status, (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
#create crosshair and superimpose it
cv2.line(frame, (center[0]-25, center[1]), (center[0]+25, center[1]), (0, 0, 255), 1)
cv2.line(frame, (center[0], center[1]-25), (center[0], center[1]+25), (0, 0, 255), 1)
cv2.circle(frame, center, 25, (0, 0, 255), 4)

cv2.imwrite('output.png', imutils.resize(frame, height = 640))
cv2.imshowt("frame", imutils.resize(frame, height = 640))

cv2.waitKey(0)