class SudokuArSolver:
MAX_IMG_SIZE = 400
def __init__(self):
self.grid_detector = GridDetector()
self.warper = ImageWarper()
self.sudoku_solver = SudokuSolver(9)
self.digit_reader = DigitReader()
def solve(self, image):
image = self.scale_too_big_image(image)
grid_corners = self.grid_detector.find_grid(image, show_img=True)
if grid_corners is None:
return image
warp = self.warper.warp(self.grid_detector.thresh_image, grid_corners)
table = self.digit_reader.read_numbers(warp)
self.sudoku_solver.print_grid(table)
solved_table = self.sudoku_solver.solve(copy.deepcopy(table))
image_with_numbers = self.warper.write_number_to_image(
warp, table, solved_table)
res = self.warper.draw_warp_to_original(image_with_numbers, image)
return res
@staticmethod
def scale_too_big_image(image):
mx_size = np.max(image.shape)
if mx_size > SudokuArSolver.MAX_IMG_SIZE:
scale = mx_size / SudokuArSolver.MAX_IMG_SIZE
return cv2.resize(
image,
(int(image.shape[1] / scale), int(image.shape[0] / scale)))
return image
def load_pic(self, path):
image = cv2.imread(path)
res = self.solve(image)
cv2.imshow('frame', res)
cv2.waitKey()
def start_camera(self):
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
# frame = frame[60:-60, 60:-60]
frame = frame[60:60 + 360, 180:180 + 360]
res = self.solve(frame)
cv2.imshow('Video', res)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()