Ejemplo n.º 1
0
 def preprocess_example(self, example, mode, unused_hparams):
     image = example["inputs"]
     image.set_shape([_CIFAR10_IMAGE_SIZE, _CIFAR10_IMAGE_SIZE, 3])
     if mode == tf.estimator.ModeKeys.TRAIN:
         image = image_utils.cifar_image_augmentation(image)
     image = tf.image.per_image_standardization(image)
     example["inputs"] = image
     return example
Ejemplo n.º 2
0
 def preprocess_example(self, example, mode, unused_hparams):
   image = example["inputs"]
   image.set_shape([_CIFAR100_IMAGE_SIZE, _CIFAR100_IMAGE_SIZE, 3])
   if mode == tf.estimator.ModeKeys.TRAIN:
     image = image_utils.cifar_image_augmentation(image)
   image = tf.image.per_image_standardization(image)
   example["inputs"] = image
   return example