nvidia.dali.fn.color_space_conversion#

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

Converts between various image color models.

This operator allows sequence inputs and supports volumetric data.

Supported backends

  • ‘cpu’

  • ‘gpu’

Parameters:

__input (TensorList ('FDHWC', 'FHWC', 'DHWC', 'HWC')) – Input to the operator.

Keyword Arguments:

  • image_type (nvidia.dali.types.DALIImageType) – The color space of the input image.

  • output_type (nvidia.dali.types.DALIImageType) – The color space of the output image.

  • 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.

See also

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