tfm.vision.box_ops.jitter_boxes

Jitters the box coordinates by some noise distribution.

tfm.vision.box_ops.jitter_boxes(
    boxes, noise_scale=0.025
)

Args
`boxes`	a tensor whose last dimension is 4 representing the coordinates of boxes in ymin, xmin, ymax, xmax order.
`noise_scale`	a python float which specifies the magnitude of noise. The rule of thumb is to set this between (0, 0.1]. The default value is found to mimic the noisy detections best empirically.

Returns
`jittered_boxes`	a tensor whose shape is the same as `boxes` representing the jittered boxes.

Raises
`ValueError`	If the last dimension of boxes is not 4.

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Last updated 2024-02-02 UTC.

Args