tfm.vision.preprocess_ops.normalize_scaled_float_image
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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.
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