Python random_cropの例

コード例 #1

ファイル: PyramidNet-200-a240.py プロジェクト: sbl1996/hanser

def transform(image, label, training):

    if training:
        image = random_crop(image, (32, 32), (4, 4))
        image = tf.image.random_flip_left_right(image)

    image, label = to_tensor(image, label)
    image = normalize(image, [0.491, 0.482, 0.447], [0.247, 0.243, 0.262])

    label = tf.one_hot(label, 100)

    return image, label

コード例 #2

def transform(image, label, training):

    if training:
        image = random_crop(image, (32, 32), (4, 4))
        image = tf.image.random_flip_left_right(image)
        image = autoaugment(image, "CIFAR10")

    image, label = to_tensor(image, label)
    image = normalize(image, [0.491, 0.482, 0.447], [0.247, 0.243, 0.262])

    if training:
        image = random_apply(cutout(length=16), params['cutout_prob'], image)

    label = tf.one_hot(label, 100)

    return image, label

コード例 #3

ファイル: gdas.py プロジェクト: sbl1996/tfnas

def transform(image, label, training):

    if training:
        image = random_crop(image, (32, 32), (4, 4))
        image = tf.image.random_flip_left_right(image)
        # image = autoaugment(image, "CIFAR10")

    image, label = to_tensor(image, label)
    image = normalize(image, [0.491, 0.482, 0.447], [0.247, 0.243, 0.262])

    # if training:
    #     image = cutout(image, 16)

    label = tf.one_hot(label, 10)

    return image, label