Add revamped docs for video classification models

docs/source/conf.py

@@ -379,6 +379,7 @@ def generate_weights_table(module, table_name, metrics):
 generate_weights_table(
     module=M.segmentation, table_name="segmentation", metrics=[("miou", "Mean IoU"), ("pixel_acc", "pixelwise Acc")]
 )
+generate_weights_table(module=M.video, table_name="video", metrics=[("acc@1", "Acc@1"), ("acc@5", "Acc@5")])
 
 
 def setup(app):

docs/source/models/video_resnet.rst

@@ -0,0 +1,26 @@
+Video ResNet
+============
+
+.. currentmodule:: torchvision.models.video
+
+The VideoResNet model is based on the `A Closer Look at Spatiotemporal
+Convolutions for Action Recognition <https://arxiv.org/abs/1711.11248>`__ paper.
+
+
+Model builders
+--------------
+
+The following model builders can be used to instantiate a VideoResNet model, with or
+without pre-trained weights. All the model builders internally rely on the
+``torchvision.models.video.resnet.VideoResNet`` base class. Please refer to the `source
+code
+<https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py>`_ for
+more details about this class.
+
+.. autosummary::
+    :toctree: generated/
+    :template: function.rst
+
+    r3d_18
+    mc3_18
+    r2plus1d_18

docs/source/models_new.rst

@@ -101,3 +101,24 @@ Table of all available detection weights
 Box MAPs are reported on COCO
 
 .. include:: generated/detection_table.rst
+
+
+Video Classification
+====================
+
+.. currentmodule:: torchvision.models.video
+
+The following video classification models are available, with or without
+pre-trained weights:
+
+.. toctree::
+   :maxdepth: 1
+
+   models/video_resnet
+
+Table of all available video classification weights
+---------------------------------------------------
+
+Accuracies are reported on Kinetics-400
+
+.. include:: generated/video_table.rst

torchvision/models/video/resnet.py

@@ -365,15 +365,24 @@ class R2Plus1D_18_Weights(WeightsEnum):
 
 @handle_legacy_interface(weights=("pretrained", R3D_18_Weights.KINETICS400_V1))
 def r3d_18(*, weights: Optional[R3D_18_Weights] = None, progress: bool = True, **kwargs: Any) -> VideoResNet:
-    """Construct 18 layer Resnet3D model as in
-    https://arxiv.org/abs/1711.11248
+    """Construct 18 layer Resnet3D model.
 
-    Args:
-        weights (R3D_18_Weights, optional): The pretrained weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
+    Reference: `A Closer Look at Spatiotemporal Convolutions for Action Recognition <https://arxiv.org/abs/1711.11248>`__.
 
-    Returns:
-        VideoResNet: R3D-18 network
+    Args:
+        weights (:class:`~torchvision.models.video.R3D_18_Weights`, optional): The
+            pretrained weights to use. See
+            :class:`~torchvision.models.video.R3D_18_Weights`
+            below for more details, and possible values. By default, no
+            pre-trained weights are used.
+        progress (bool): If True, displays a progress bar of the download to stderr. Default is True.
+        **kwargs: parameters passed to the ``torchvision.models.video.resnet.VideoResNet`` base class.
+            Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.video.R3D_18_Weights
+        :members:
     """
     weights = R3D_18_Weights.verify(weights)
 
@@ -390,15 +399,24 @@ def r3d_18(*, weights: Optional[R3D_18_Weights] = None, progress: bool = True, *
 
 @handle_legacy_interface(weights=("pretrained", MC3_18_Weights.KINETICS400_V1))
 def mc3_18(*, weights: Optional[MC3_18_Weights] = None, progress: bool = True, **kwargs: Any) -> VideoResNet:
-    """Constructor for 18 layer Mixed Convolution network as in
-    https://arxiv.org/abs/1711.11248
+    """Construct 18 layer Mixed Convolution network as in
 
-    Args:
-        weights (MC3_18_Weights, optional): The pretrained weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
+    Reference: `A Closer Look at Spatiotemporal Convolutions for Action Recognition <https://arxiv.org/abs/1711.11248>`__.
 
-    Returns:
-        VideoResNet: MC3 Network definition
+    Args:
+        weights (:class:`~torchvision.models.video.MC3_18_Weights`, optional): The
+            pretrained weights to use. See
+            :class:`~torchvision.models.video.MC3_18_Weights`
+            below for more details, and possible values. By default, no
+            pre-trained weights are used.
+        progress (bool): If True, displays a progress bar of the download to stderr. Default is True.
+        **kwargs: parameters passed to the ``torchvision.models.video.resnet.VideoResNet`` base class.
+            Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.video.MC3_18_Weights
+        :members:
     """
     weights = MC3_18_Weights.verify(weights)
 
@@ -415,15 +433,24 @@ def mc3_18(*, weights: Optional[MC3_18_Weights] = None, progress: bool = True, *
 
 @handle_legacy_interface(weights=("pretrained", R2Plus1D_18_Weights.KINETICS400_V1))
 def r2plus1d_18(*, weights: Optional[R2Plus1D_18_Weights] = None, progress: bool = True, **kwargs: Any) -> VideoResNet:
-    """Constructor for the 18 layer deep R(2+1)D network as in
-    https://arxiv.org/abs/1711.11248
+    """Construct 18 layer deep R(2+1)D network as in
 
-    Args:
-        weights (R2Plus1D_18_Weights, optional): The pretrained weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
+    Reference: `A Closer Look at Spatiotemporal Convolutions for Action Recognition <https://arxiv.org/abs/1711.11248>`__.
 
-    Returns:
-        VideoResNet: R(2+1)D-18 network
+    Args:
+        weights (:class:`~torchvision.models.video.R2Plus1D_18_Weights`, optional): The
+            pretrained weights to use. See
+            :class:`~torchvision.models.video.R2Plus1D_18_Weights`
+            below for more details, and possible values. By default, no
+            pre-trained weights are used.
+        progress (bool): If True, displays a progress bar of the download to stderr. Default is True.
+        **kwargs: parameters passed to the ``torchvision.models.video.resnet.VideoResNet`` base class.
+            Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/video/resnet.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.video.R2Plus1D_18_Weights
+        :members:
     """
     weights = R2Plus1D_18_Weights.verify(weights)