def save_train_imgs(train_img_path):
data_list = os.listdir(train_img_path)
for file in data_list:
if file != '.DS_Store':
img = Image.open(train_img_path + file)
img = solve_it.dele_noise(img, N=2, Z=1)
img = solve_it.clear_lib_line(img)
img_list = solve_it.cut_img_to_img_list(img,30,background=255)
for k,i in enumerate(img_list):
random_num = str(time.time())[-10:-3].replace('.',str(random.random())[2:4])
i.save('train_imgs/{}.png'.format(file[k]+'-'+random_num))
def break_capt(img):
img = solve_it.dele_noise(img, N=2, Z=1)
img = solve_it.clear_lib_line(img)
mode_list = solve_it.cut_img_to_mode_list(img, 30)
# imgs = map()
test_x = np.array(mode_list)
ans = pred_ans(test_x)
res = ''.join(map(chr_num, ans.tolist()))
return res