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A preprocessing layer which randomly adjusts contrast during training.
tf.keras.layers.RandomContrast(
factor, seed=None, **kwargs
)
This layer will randomly adjust the contrast of an image or images by a random factor. Contrast is adjusted independently for each channel of each image during training.
For each channel, this layer computes the mean of the image pixels in the
channel and then adjusts each component x
of each pixel to
(x - mean) * contrast_factor + mean
.
Input pixel values can be of any range (e.g. [0., 1.)
or [0, 255]
) and
of interger or floating point dtype. By default, the layer will output floats.
For an overview and full list of preprocessing layers, see the preprocessing guide.
Input shape | |
---|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels) , in "channels_last" format.
|
Output shape | |
---|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels) , in "channels_last" format.
|