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🕸️ Segmentation Models

.. 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