def find_sudoku_number_binary_arr(gray_pic_arr):
'''
Find all numbers from a picture in which there is a soduku puzzle.
The number form is a binary numpy.array in which number parts are 1,
the others are 0.
'''
'''
notice: the threshold_value is the key, if it directly impact the binary matrix.
'''
threshed_pic_array = cv2_helper.threshold_white_with_mean_percent(gray_pic_arr,0.8)
cv2_helper.show_pic(threshed_pic_array)
square = find_max_square(threshed_pic_array)
# cv2_helper.show_contours_in_pic(threshed_pic_array, [square])
square_rect=cv2.boundingRect(square)
number_rects = cv2_helper.Rect.cal_split_ragion_rects(square_rect, 9, 9)
# cv2_helper.show_rects_in_pic(gray_pic_arr, number_rects)
binary_pic = numpy_helper.transfer_values_quickly(threshed_pic_array, {BLACK:0, WHITE:1})
number_binary_ragions = map(lambda c: cv2_helper.get_rect_ragion_with_rect(binary_pic, c),
number_rects)
number_binary_ragions = map(remove_border, number_binary_ragions)
non_empty_indexs, number_binary_ragions = get_nonzero_ragions_and_indexs(number_binary_ragions)
# indexs.pp()
# cv2_helper.show_same_size_ragions_as_pic(number_binary_ragions, 9)
number_binary_ragions = map(remove_margin, number_binary_ragions)
number_binary_ragions = map(enlarge, number_binary_ragions)
# cv2_helper.show_pic(threshed_pic_array)
# cv2_helper.show_same_size_ragions_as_pic(number_binary_ragions, 9)
return number_binary_ragions, non_empty_indexs
def remove_margin(pic_array):
new_rect = cv2_helper.cal_nonzero_rect_as_pic_ratio(pic_array)
return cv2_helper.get_rect_ragion_with_rect(pic_array, new_rect)
