Grayscale layer
Grayscale class
keras_cv.layers.Grayscale(output_channels=1, **kwargs)
Grayscale is a preprocessing layer that transforms RGB images to Grayscale images. Input images should have values in the range of [0, 255].
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
Arguments
output_channels.
Number color channels present in the output image.
The output_channels can be 1 or 3. RGB image with shape
(..., height, width, 3) will have the following shapes
after the Grayscale operation:
a. (..., height, width, 1) if output_channels = 1
b. (..., height, width, 3) if output_channels = 3.
Example
(images, labels), _ = keras.datasets.cifar10.load_data()
to_grayscale = keras_cv.layers.preprocessing.Grayscale()
augmented_images = to_grayscale(images)