def setupWindow():
filename = getUserSelectedImage()
imageProcessor = ImageProcessor(cv2.imread(filename,0))
colourImage = cv2.imread(filename,1)
image = imageProcessor.getThresholdedImage(False)
granularity = imageProcessor.get_granularity(image, 100)
print("Granularity: {0}".format(granularity))
start_x,start_y,end_x,end_y = get_start_points(image)
image = imageProcessor.encloseMaze(image)
pg = PolicyGenerator(image)
rows,cols = pg.get_critical_grid()
graph,mapping = pg.get_reduced_graph([rows,cols])
policy = pg.generate_policy((end_x,end_y))
solution = solve_using_policy(policy,(start_x,start_y),(end_x,end_y))
imageProcessor.draw_policy(colourImage,policy)
imageProcessor.mark_point((end_x,end_y),3,(255,0,0),colourImage)
#cv2.imshow(MAZE_NAME,policy_image)
mazerunner = MazeSolver(image,granularity)
#solution = mazerunner.solveMaze(start_x,start_y,end_x,end_y)
if(not solution):
cv2.imshow(MAZE_NAME,image)
else:
solvedImage = draw_solution(solution, colourImage)
solvedImage = imageProcessor.mark_point((start_x,start_y),3,(255,0,0),solvedImage)
window = cv2.namedWindow("Solved Image", cv2.WINDOW_NORMAL)
cv2.resizeWindow("Solved Image", 900,900)
cv2.moveWindow("Solved Image",100,100)
cv2.imshow("Solved Image",solvedImage)
print("Press any key to exit")
cv2.waitKey(0)
cv2.destroyAllWindows
