Normalize

class lib.infer.align.Normalize(method: Literal['none', 'clahe', 'hist', 'mean'])

Bases: object

Handles the normalization of feed images prior to feeding the model

Methods Summary

__call__(images)	Perform the selected normalization method on the batch of model input images
set_method(method)	Update the normalization method with the given method

Methods Documentation

Parameters:

method (T.Literal['none', 'clahe', 'hist', 'mean'])

__call__(images: npt.NDArray[np.uint8]) → npt.NDArray[np.uint8]

Perform the selected normalization method on the batch of model input images

Parameters:

images (npt.NDArray[np.uint8]) – The batch of model input images to be normalized

Return type:

The given images normalized by the chosen method, or the input batch if no method selected

set_method(method: Literal['none', 'clahe', 'hist', 'mean'] | None) → None

Update the normalization method with the given method

Parameters:

method (Literal['none', 'clahe', 'hist', 'mean'] | None) – The normalization method to use

Return type:

None

__call__(images: npt.NDArray[np.uint8]) → npt.NDArray[np.uint8]

Perform the selected normalization method on the batch of model input images

Parameters:

images (npt.NDArray[np.uint8]) – The batch of model input images to be normalized

Return type:

The given images normalized by the chosen method, or the input batch if no method selected

set_method(method: Literal['none', 'clahe', 'hist', 'mean'] | None) → None

Update the normalization method with the given method

Parameters:

method (Literal['none', 'clahe', 'hist', 'mean'] | None) – The normalization method to use

Return type:

None