Performs a random Jitter augmentation.
The output images are produced by moving each pixel by a random amount, in the x and y dimensions, and bounded by half of the
- Supported backends
input (TensorList ('HWC')) – Input to the operator.
- Keyword Arguments
bytes_per_sample_hint (int or list of int, optional, default = ) –
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.
fill_value (float, optional, default = 0.0) – Color value that is used for padding.
nvidia.dali.types.DALIInterpType, optional, default = DALIInterpType.INTERP_NN) – Type of interpolation used.
mask (int or TensorList of int, optional, default = 1) –
Determines whether to apply this augmentation to the input image.
Here are the values:
0: Do not apply this transformation.
1: Apply this transformation.
nDegree (int, optional, default = 2) – Each pixel is moved by a random amount in the
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) –
If not provided, it will be populated based on the global seed of the pipeline.