.. autoclass:: segmentation_models_pytorch.Unet
.. autoclass:: segmentation_models_pytorch.UnetPlusPlus
.. autoclass:: segmentation_models_pytorch.FPN
.. autoclass:: segmentation_models_pytorch.PSPNet
.. autoclass:: segmentation_models_pytorch.DeepLabV3
.. autoclass:: segmentation_models_pytorch.DeepLabV3Plus
.. autoclass:: segmentation_models_pytorch.Linknet
.. autoclass:: segmentation_models_pytorch.MAnet
.. autoclass:: segmentation_models_pytorch.PAN
.. autoclass:: segmentation_models_pytorch.UPerNet
.. autoclass:: segmentation_models_pytorch.Segformer
Note
See full list of DPT-compatible timm encoders in :ref:`dpt-encoders`.
Note
For some encoders, the model requires dynamic_img_size=True
to be passed in order to work with resolutions different from what the encoder was trained for.
.. autoclass:: segmentation_models_pytorch.DPT