tf.keras.applications.resnet50.preprocess_input

Aliases:

• tf.keras.applications.resnet50.preprocess_input
• tf.keras.applications.vgg16.preprocess_input
• tf.keras.applications.vgg19.preprocess_input

tf.keras.applications.resnet50.preprocess_input(
    x,
    data_format=None,
    mode='caffe'
)

Defined in tensorflow/python/keras/_impl/keras/applications/imagenet_utils.py.

Preprocesses a tensor or Numpy array encoding a batch of images.

Arguments:

• x: Input Numpy or symbolic tensor, 3D or 4D.
• data_format: Data format of the image tensor/array.
• mode: One of "caffe", "tf". - caffe: will convert the images from RGB to BGR, then will zero-center each color channel with respect to the ImageNet dataset, without scaling. - tf: will scale pixels between -1 and 1, sample-wise.

Returns:

Preprocessed tensor or Numpy array.

Raises:

• ValueError: In case of unknown data_format argument.