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anomalib.post_processing.normalization.min_max

Tools for min-max normalization.

Module Contents

Functions

normalize(targets: Union[numpy.ndarray, torch.Tensor, numpy.float32], threshold: Union[numpy.ndarray, torch.Tensor, float], min_val: Union[numpy.ndarray, torch.Tensor, float], max_val: Union[numpy.ndarray, torch.Tensor, float]) → Union[numpy.ndarray, torch.Tensor]

Apply min-max normalization and shift the values such that the threshold value is centered at 0.5.

anomalib.post_processing.normalization.min_max.normalize(targets: Union[numpy.ndarray, torch.Tensor, numpy.float32], threshold: Union[numpy.ndarray, torch.Tensor, float], min_val: Union[numpy.ndarray, torch.Tensor, float], max_val: Union[numpy.ndarray, torch.Tensor, float]) → Union[numpy.ndarray, torch.Tensor]

Apply min-max normalization and shift the values such that the threshold value is centered at 0.5.