nvidia.dali.fn.ssd_random_crop

nvidia.dali.fn.ssd_random_crop(__input_0, __input_1, __input_2, /, *, bytes_per_sample_hint=[0], num_attempts=1, preserve=False, seed=-1, device=None, name=None)

Warning

This operator is now deprecated. Use random_bbox_crop() instead.

Performs a random crop with bounding boxes where Intersection Over Union (IoU) meets a randomly selected threshold between 0-1.

When the IoU falls below the threshold, a new random crop is generated up to num_attempts. As an input, the operator accepts image, bounding boxes and labels. At the output cropped image, cropped and valid bounding boxes and valid labels are returned.

Supported backends

• ‘cpu’

Parameters:

• __input_0 (TensorList) – Input to the operator.

• __input_1 (TensorList) – Input to the operator.

• __input_2 (TensorList) – 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.

• num_attempts (int, optional, default = 1) – Number of attempts.

• 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.