nvidia.dali.fn.experimental.median_blur#
- nvidia.dali.fn.experimental.median_blur(__input, /, *, bytes_per_sample_hint=[0], preserve=False, seed=-1, window_size=[3, 3], device=None, name=None)#
Median blur performs smoothing of an image or sequence of images by replacing each pixel with the median color of a surrounding rectangular region.
- Supported backends
‘gpu’
- Parameters:
__input¶ (TensorList ('HW', 'HWC', 'FHWC', 'CHW', 'FCHW')) – Input data. Must be images in HWC or CHW layout, or a sequence of those.
- 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.
window_size¶ (int or list of int or TensorList of int, optional, default = [3, 3]) – The size of the window over which the smoothing is performed