# # gray_image = cv2.imread(image_path, 0)
# # Display.image(gray_image)
# # /Users/colin/work/picture_sudoku/other_resource/font_training_result
# with test("for having more than two border lines"):
# # image_path = Resource.get_path('example_pics/sample11.dataset.jpg')
# # image_path = Resource.get_path('example_pics/sample08.dataset.jpg')
# # image_path = Resource.get_path('example_pics/sample16.dataset.jpg')
# image_path = Resource.get_path('for_issues/cannot_recognize.jpg')
# main_sudoku.answer_quiz_with_pic(image_path).pl()
# # gray_image = cv2.imread(image_path, 0)
# # Display.image(gray_image)
with test("get clear number ragion"):
som_svm = MultipleSvm.load_variables(Smo, data_file_helper.SUPPLEMENT_RESULT_PATH)
file_path = Resource.get_test_path("sample_15_null_38_image.jpg")
the_ragion = cv2.imread(file_path, 0)
# the_ragion.mean().ppl()
# the_ragion.ppl()
# thresholded_ragion = Image.threshold_white_with_mean_percent(the_ragion, 0.8)
# thresholded_ragion.ppl()
# Display.image(thresholded_ragion)
file_path = Resource.get_test_path("sample_15_square.jpg")
square_ragion = cv2.imread(file_path, 0)
# square_ragion.mean().ppl()
threshold_value = Ragion.cal_threshold_value(the_ragion, square_ragion, 0.69)
thresholded_ragion = Image.threshold_white(the_ragion, threshold_value)
# thresholded_ragion = cv2.adaptiveThreshold(the_ragion, 255,
# cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY_INV, blockSize=7, C=2)
cell_rect = nonzero_rect.analyze_from_center(thresholded_ragion)
