tfm.vision.preprocess_ops.normalize_image

Normalizes the image to zero mean and unit variance.

tfm.vision.preprocess_ops.normalize_image(
    image: tf.Tensor,
    offset: Sequence[float] = tfm.vision.preprocess_ops.MEAN_NORM,
    scale: Sequence[float] = tfm.vision.preprocess_ops.STDDEV_NORM
) -> tf.Tensor

If the input image dtype is float, it is expected to either have values in [0, 1) and offset is MEAN_NORM, or have values in [0, 255] and offset is MEAN_RGB.

Args
`image`	A tf.Tensor in either (1) float dtype with values in range [0, 1) or [0, 255], or (2) int type with values in range [0, 255].
`offset`	A tuple of mean values to be subtracted from the image.
`scale`	A tuple of normalization factors.

Returns
A normalized image tensor.

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Last updated 2024-02-02 UTC.

tfm.vision.preprocess_ops.normalize_image

Args

Returns