Forward function for testing. Args: inputs (list[Tensor]): List of multi-level img features. img_metas (list[dict]):

Forward function for testing. Args: inputs (list[Tensor]): List of multi-level img features. img_metas (list[dict]):

Forward function for training. Args: inputs (list[Tensor]): List of multi-level img features. img_metas (list[dict]):

Forward function for training. Args: inputs (list[Tensor]): List of multi-level img features. img_metas (list[dict]):

Initialize weights of classification layer.

Initialize the weights in backbone. Args: pretrained (str, optional): Path to pre-trained weights. Defaults to Non

Initialize weights of classification layer.

Initialize the weights in backbone. Args: pretrained (str, optional): Path to pre-trained weights. Defaults to No

Load checkpoint from a file or URI. Args: model (Module): Module to load checkpoint. filename (str): Accept local filepath, URL,

Save checkpoint to file. The checkpoint will have 3 fields: ``meta``, ``state_dict`` and ``optimizer``. By default ``meta`` will contain vers

Upsample input tensor by a factor of 2

Upsample input tensor by a factor of 2