Image Gradients¶
Functional Interface¶
- torchmetrics.functional.image_gradients(img)[source]
Wrapper for deprecated import.
>>> import torch >>> image = torch.arange(0, 1*1*5*5, dtype=torch.float32) >>> image = torch.reshape(image, (1, 1, 5, 5)) >>> dy, dx = _image_gradients(image) >>> dy[0, 0, :, :] tensor([[5., 5., 5., 5., 5.], [5., 5., 5., 5., 5.], [5., 5., 5., 5., 5.], :rtype: :py:data:`~typing.Tuple`\[:py:class:`~torch.Tensor`, :py:class:`~torch.Tensor`]
[5., 5., 5., 5., 5.], [0., 0., 0., 0., 0.]])