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-frameinputs.
- 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-frameinputs.
- 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.