rom the `Fully Convolutional
    Networks for Semantic Segmentation <https://arxiv.org/abs/1411.4038>`_ paper.

    .. betastatus:: segmentation module

    Args:
        weights (:class:`~torchvision.models.segmentation.FCN_ResNet50_Weights`, optional): The
            pretrained weights to use. See
            :class:`~torchvision.models.segmentation.FCN_ResNet50_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.
        num_classes (int, optional): number of output classes of the model (including the background).
        aux_loss (bool, optional): If True, it uses an auxiliary loss.
        weights_backbone (:class:`~torchvision.models.ResNet50_Weights`, optional): The pretrained
            weights for the backbone.
        **kwargs: parameters passed to the ``torchvision.models.segmentation.fcn.FCN``
            base class. Please refer to the `source code
            <https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/fcn.py>`_
            for more details about this class.

    .. autoclass:: torchvision.models.segmentation.FCN_ResNet50_Weights
        :members:
    Nr@