def visual_test(directory, name, reverse=False):
with open(os.path.join(directory, name + ".json")) as b:
board = json.load(b)
if reverse:
board = reverse_board_state(board)
name += "R"
img = cv2.imread(os.path.join(directory, name + ".png"))
# Create alpha channel
alpha = 0.2 * np.ones((img.shape[0], img.shape[1], 1))
extr = LabeledCellExtractor(alpha, board)
vert, hori = extr.labeled_cells()
for ((l, o), c) in vert + hori:
if l is not None:
c[:, :, :] = 1.0 # Modifies underlying alpha
img = np.asarray(img * alpha, dtype=np.uint8)
cv2.imshow(name, img)
cv2.waitKey(0)
cv2.destroyAllWindows()
