Module: tf.keras.preprocessing.image

Defined in tensorflow/keras/preprocessing/image/__init__.py.

Fairly basic set of tools for real-time data augmentation on image data.

Can easily be extended to include new transformations, new preprocessing methods, etc...

Classes

class DirectoryIterator: Iterator capable of reading images from a directory on disk.

class ImageDataGenerator: Generates batches of tensor image data with real-time data augmentation.

class Iterator: Base class for image data iterators.

class NumpyArrayIterator: Iterator yielding data from a Numpy array.

Functions

apply_transform(...): Apply the image transformation specified by a matrix.

array_to_img(...): Converts a 3D Numpy array to a PIL Image instance.

flip_axis(...)

img_to_array(...): Converts a PIL Image instance to a Numpy array.

load_img(...): Loads an image into PIL format.

random_brightness(...): Performs a random adjustment of brightness of a Numpy image tensor.

random_channel_shift(...): Perform a random channel shift.

random_rotation(...): Performs a random rotation of a Numpy image tensor.

random_shear(...): Performs a random spatial shear of a Numpy image tensor.

random_shift(...): Performs a random spatial shift of a Numpy image tensor.

random_zoom(...): Performs a random spatial zoom of a Numpy image tensor.