keras image data generator

Spencer Kenimer

keras.preprocessing.image.ImageDataGenerator(featurewise_center=False, samplewise_center=False, featurewise_std_normalization=False, samplewise_std_normalization=False, zca_whitening=False, zca_epsilon=1e-06, rotation_range=0, width_shift_range=0.0, height_shift_range=0.0, brightness_range=None, shear_range=0.0, zoom_range=0.0, channel_shift_range=0.0, fill_mode='nearest', cval=0.0, horizontal_flip=False, vertical_flip=False, rescale=None, preprocessing_function=None, data_format='channels_last', validation_split=0.0, interpolation_order=1, dtype='float32')

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Nefarious 90 points

                                    tf.keras.preprocessing.image_dataset_from_directory(
    directory,
    labels=&quot;inferred&quot;,
    label_mode=&quot;int&quot;,
    class_names=None,
    color_mode=&quot;rgb&quot;,
    batch_size=32,
    image_size=(256, 256),
    shuffle=True,
    seed=None,
    validation_split=None,
    subset=None,
    interpolation=&quot;bilinear&quot;,
    follow_links=False,
)

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