nvidia.dali.fn.brightness¶
- nvidia.dali.fn.brightness(*inputs, **kwargs)¶
Adjusts the brightness of the images.
The brightness is adjusted based on the following formula:
out = brightness_shift * output_range + brightness * in
Where output_range is 1 for float outputs or the maximum positive value for integral types.
This operator can also change the type of data.
This operator allows sequence inputs and supports volumetric data.
- Supported backends
‘cpu’
‘gpu’
- Parameters:
input (TensorList ('FHWC', 'DHWC', 'HWC')) – Input to the operator.
- Keyword Arguments:
brightness (float or TensorList of float, optional, default = 1.0) –
Brightness mutliplier.
Supports
per-frame
inputs.brightness_shift (float or TensorList of float, optional, default = 0.0) –
The brightness shift.
For signed types, 1.0 represents the maximum positive value that can be represented by the type.
Supports
per-frame
inputs.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.
dtype (
nvidia.dali.types.DALIDataType
, optional) –Output data type.
If not set, the input type is used.
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.