示例#1
0
def test_recognize_training():
    c.clear_temp()
    seq = "JWP26"
    # seq = 'K464J'

    # Sticking together
    # seq = 'WMQPQ'
    # seq = '14FWX'
    # seq = '4TJ3R'
    # seq = '5PW9Y'
    # seq = '6ML6X'
    # seq = '48HXH'
    # seq = 'Y581K'

    # Isolation
    # seq = 'QN4EL'

    # Complicated
    # seq = '2XML9'
    # seq = 'W9WU4'

    if seq:
        image = dataset_manager.get_training_image(seq)
    else:
        seq, image = dataset_manager.get_training_image()
    success, seq_r, weak_confidence = CaptchaRecognizer().recognize(
        image, verbose=True, save_intermediate=True, force_partition=True
    )
    if success:
        if weak_confidence:
            print("Weak confidence")
        print("Recognized is", seq_r)
        print("Actual is", seq)
        print("Result: {}".format(seq == seq_r))
示例#2
0
def test_recognize_training():
    c.clear_temp()
    seq = 'JWP26'
    # seq = 'K464J'

    # Sticking together
    # seq = 'WMQPQ'
    # seq = '14FWX'
    # seq = '4TJ3R'
    # seq = '5PW9Y'
    # seq = '6ML6X'
    # seq = '48HXH'
    # seq = 'Y581K'

    # Isolation
    # seq = 'QN4EL'

    # Complicated
    # seq = '2XML9'
    # seq = 'W9WU4'

    if seq:
        image = dataset_manager.get_training_image(seq)
    else:
        seq, image = dataset_manager.get_training_image()
    success, seq_r, weak_confidence = CaptchaRecognizer().recognize(
        image, verbose=True, save_intermediate=True, force_partition=True)
    if success:
        if weak_confidence:
            print('Weak confidence')
        print('Recognized is', seq_r)
        print('Actual is', seq)
        print('Result: {}'.format(seq == seq_r))
def main():
    c.clear_temp()

    img = dataset_manager.get_training_image()
    recognizer = captcha_recognizer.CaptchaRecognizer()
    mpimg.imsave(c.temp_path('00.origin.png'), img)

    # 1
    img_01 = time_func(
        'remove_noise_with_hsv',
        lambda: recognizer.remove_noise_with_hsv(img)
    )
    mpimg.imsave(c.temp_path('01.hsv.png'), img_01, cmap=cm_greys)

    # 2
    img_02 = time_func(
        'remove_noise_with_neighbors',
        lambda: repeat(recognizer.remove_noise_with_neighbors, 2)(img_01)
    )
    mpimg.imsave(c.temp_path('02.neighbor.png'), img_02, cmap=cm_greys)

    img_03a = time_func(
        'skeletonize',
        lambda: morph.skeletonize(img_02)
    )
    mpimg.imsave(c.temp_path('03a.skeleton.png'), img_03a, cmap=cm_greys)