def extract_sudoku(image, classifier=None, force=False):
if classifier is None:
classifier = get_default_sudokuextract_classifier()
image = np.array(image.convert('L'))
for method_name, method in extraction_methods:
try:
predictions, sudoku_box_images, subimage = method(image, classifier)
except SudokuExtractError as e:
# Try next method.
pass
except Exception as e:
# Some unknown error. Raise this.
raise
else:
return predictions, sudoku_box_images, subimage
if force:
return extraction_method_map(image, classifier, force=True, n=1)
raise SudokuExtractError("Could not extract any Sudoku from this image.")
def classifier():
return fit.get_default_sudokuextract_classifier()
def classifier():
return fit.get_default_sudokuextract_classifier()
