Justin Dhillon
2024-02-10 17:36:56 +01:00
committed by GitHub
parent 1bcbd6501b
commit 71eb040afc
3 changed files with 6 additions and 6 deletions
+3 -3
View File
@@ -78,7 +78,7 @@ def spatial_gradient(input, normalized: bool = True):
Return:
the derivatives of the input feature map. with shape :math:`(B, C, 2, H, W)`.
.. note::
See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
See a working example `here <https://kornia.readthedocs.io/en/latest/
filtering_edges.html>`__.
Examples:
>>> input = torch.rand(1, 3, 4, 4)
@@ -120,7 +120,7 @@ def rgb_to_grayscale(image, rgb_weights = None):
grayscale version of the image with shape :math:`(*,1,H,W)`.
.. note::
See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
See a working example `here <https://kornia.readthedocs.io/en/latest/
color_conversions.html>`__.
Example:
@@ -176,7 +176,7 @@ def canny(
- the canny edge magnitudes map, shape of :math:`(B,1,H,W)`.
- the canny edge detection filtered by thresholds and hysteresis, shape of :math:`(B,1,H,W)`.
.. note::
See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
See a working example `here <https://kornia.readthedocs.io/en/latest/
canny.html>`__.
Example:
>>> input = torch.rand(5, 3, 4, 4)