nvidia.dali.fn.experimental.equalize¶
- nvidia.dali.fn.experimental.equalize(*inputs, **kwargs)¶
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.