def main(image_path):
image = extract_sudoku(image_path)
# show_image(image)
grid = extract_number(image)
print('Sudoku:')
display_sudoku(grid.tolist())
solution = sudoku_solver(grid)
print('Solution:')
# print(solution)
display_sudoku(solution.tolist())
def main(image):
img = extract_sudoku(image)
grid = extract_number(img)
print('Sudoku:')
display_sudoku(grid.tolist())
print(grid.dtype)
# for i in range(9):
# for j in range(9):
# print(grid[i][j])
print("Normal grid", grid)
print("Grid to list", grid.tolist())
solution = sudoku_solver(b)
print(solution)
print('solution:')
display_sudoku(solution.tolist())
from NumberExtractor import extract_number, display_sudoku
import numpy as np
# 读图
filePath = ".\\imgs\\"
files = os.listdir(filePath)
for file in files:
path = filePath + file
image_ori = cv2.imread(path, 0)
ratio = image_ori.shape[0] / 540
w = round(image_ori.shape[1] / ratio)
image_resize = cv2.resize(image_ori, (w, 540))
image = extract_sudoku(path)
image_show = cv2.resize(image, (540, 540))
result = extract_number(image)
result = solve(result)
if result is not None:
print("Solution is:")
display_sudoku(result)
else:
print("No Solution!")
image_stack = np.hstack((image_resize, image_show))
cv2.imshow("image", image_stack)
cv2.waitKey(0)
cv2.destroyAllWindows()