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.

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