tfm.vision.preprocess_ops.normalize_scaled_float_image

Normalizes a scaled float image to zero mean and unit variance.

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

It assumes the input image is float dtype with values in [0, 1) if offset is MEAN_NORM, values in [0, 255] if offset is MEAN_RGB.

Args
`image`	A tf.Tensor in float32 dtype with values in range [0, 1) or [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_scaled_float_image

Args

Returns