Links to TorchVision.

Author: scotts

src/torchcodec/decoders/_video_decoder.py

@@ -70,7 +70,8 @@ class VideoDecoder:
         transforms (sequence of transform objects, optional): Sequence of transforms to be
             applied to the decoded frames by the decoder itself, in order. Accepts both
             :class:`~torchcodec.transforms.DecoderTransform` and
-            `torchvision.transforms.v2.Transform` objects. All transforms are applied
+            `torchvision.transforms.v2.Transform <https://docs.pytorch.org/vision/stable/transforms.html#v2-api-reference-recommended>`_
+            objects. All transforms are applied
             in the ouput pixel format and colorspace. Read more about this parameter in:
             TODO_DECODER_TRANSFORMS_TUTORIAL.
         custom_frame_mappings (str, bytes, or file-like object, optional):

src/torchcodec/transforms/_decoder_transforms.py

@@ -19,8 +19,9 @@ class DecoderTransform(ABC):
     decoded frames and applying the same kind of transform.
 
     Most `DecoderTransform` objects have a complementary transform in TorchVision,
-    specificially in :mod:`torchvision.transforms.v2`. For such transforms,
-    we ensure that:
+    specificially in
+    `torchvision.transforms.v2 <https://docs.pytorch.org/vision/stable/transforms.html#v2-api-reference-recommended>`_.
+    For such transforms, we ensure that:
 
       1. The names are the same.
       2. Default behaviors are the same.
@@ -43,7 +44,8 @@ def _make_params(self) -> str:
 class Resize(DecoderTransform):
     """Resize the decoded frame to a given size.
 
-    Complementary TorchVision transform: :class:`torchvision.transforms.v2.Resize`.
+    Complementary TorchVision transform:
+    `torchvision.transforms.v2.Resize <https://docs.pytorch.org/vision/stable/generated/torchvision.transforms.v2.Resize.html#torchvision.transforms.v2.Resize>`_.
     Interpolation is always bilinear. Anti-aliasing is always on.
 
     Args: