Panoptic Quality

Detection

Panoptic Quality

Module Interface

torchmetrics.PanopticQuality

alias of _PanopticQuality

Functional Interface

torchmetrics.functional.panoptic_quality(preds, target, things, stuffs, allow_unknown_preds_category=False)

Wrapper for deprecated import.

>>> from torch import tensor
>>> preds = tensor([[[[6, 0], [0, 0], [6, 0], [6, 0]],
...                  [[0, 0], [0, 0], [6, 0], [0, 1]],
...                  [[0, 0], [0, 0], [6, 0], [0, 1]],
...                  [[0, 0], [7, 0], [6, 0], [1, 0]],
...                  [[0, 0], [7, 0], [7, 0], [7, 0]]]])
>>> target = tensor([[[[6, 0], [0, 1], [6, 0], [0, 1]],
...                   [[0, 1], [0, 1], [6, 0], [0, 1]],
...                   [[0, 1], [0, 1], [6, 0], [1, 0]],
...                   [[0, 1], [7, 0], [1, 0], [1, 0]],
...                   [[0, 1], [7, 0], [7, 0], [7, 0]]]])
:rtype: :py:class:`~torch.Tensor`

>>> _panoptic_quality(preds, target, things = {0, 1}, stuffs = {6, 7})
tensor(0.5463, dtype=torch.float64)