mvit_v2_s

torchvision.models.video.mvit_v2_s(*, weights: Optional[MViT_V2_S_Weights] = None, progress: bool = True, **kwargs: Any) → MViT

Constructs a small MViTV2 architecture from Multiscale Vision Transformers and MViTv2: Improved Multiscale Vision Transformers for Classification and Detection.

Warning

The video module is in Beta stage, and backward compatibility is not guaranteed.

Parameters:

• weights (MViT_V2_S_Weights, optional) – The pretrained weights to use. See MViT_V2_S_Weights below for more details, and possible values. By default, no pre-trained weights are used.

• progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.

• **kwargs – parameters passed to the torchvision.models.video.MViT base class. Please refer to the source code for more details about this class.

class torchvision.models.video.MViT_V2_S_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)