nvidia.dali.fn.experimental.equalize#

nvidia.dali.fn.experimental.equalize(__input, /, *, bytes_per_sample_hint=[0], preserve=False, seed=-1, device=None, name=None)#

Performs grayscale/per-channel histogram equalization.

The supported inputs are images and videos of uint8_t type.

This operator allows sequence inputs.

Supported backends

  • ‘cpu’

  • ‘gpu’

Parameters:

__input (TensorList ('HW', 'HWC', 'CHW', 'FHW', 'FHWC', 'FCHW')) – Input to the operator.

Keyword Arguments:

  • bytes_per_sample_hint (int or list of int, optional, default = [0]) –

    Output size hint, in bytes per sample.

    If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.

  • preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.

  • seed (int, optional, default = -1) –

    Random seed.

    If not provided, it will be populated based on the global seed of the pipeline.

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