nvidia.dali.fn.jitter

nvidia.dali.fn.jitter(__input, /, *, bytes_per_sample_hint=[0], fill_value=0.0, interp_type=DALIInterpType.INTERP_NN, mask=1, nDegree=2, preserve=False, seed=-1, device=None, name=None)

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 nDegree parameter.

Supported backends

• ‘gpu’

Parameters:

__input (TensorList ('HWC')) – Input to the operator.

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.

• fill_value (float, optional, default = 0.0) – Color value that is used for padding.

• interp_type (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 [-nDegree/2, nDegree/2] range

• 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 set, one will be assigned automatically.