Add children for a registry. The ``registry`` will be added as children based on its scope. The parent registry could build objects f

Run forward function and calculate loss for auxiliary head in training.

Check branches configuration.

Build :obj:`ConcatDataset by.

Convert trainId to id for cityscapes.

Convert segmentation label to onehot. Args: seg_label (Tensor): Segmentation label of shape (N, H, W). num_classes (i

Run forward function and calculate loss for decode head in inference.

Run forward function and calculate loss for decode head in training.

Dump the initialization information to a file named `initialization.log.json` in workdir. Args: logger_name (str): The na

Evaluation in Cityscapes protocol. Args: results (list): Testing results of the dataset. logger (logging.Logger | str

Expand onehot labels to match the size of prediction.

Fuse conv and bn into one module. Args: conv (nn.Module): Conv to be fused. bn (nn.Module): BN to be fused. Returns:

Finds a loader that supports the given path. Falls back to the local loader if no other loader is found. Args: path (str)

Generate the shear matrix for transformation. Args: magnitude (int | float): The magnitude used for shear. direction (str): The f

Generate the translate matrix. Args: offset (int | float): The offset used for translate. direction (str): The translate directio

Check if params contain NaN.

Initialize ``auxiliary_head``

Initialize ``decode_head``

Initialize slurm distributed training environment. If argument ``port`` is not specified, then the master port will be system environment var

Check and initialize input transforms. The in_channels, in_index and input_transform must match. Specifically, when input_transform i

Load checkpoint from somewhere (modelzoo, file, url). Args: filename (str): Accept local filepath, URL, ``torchvision://xxx``,

Load partial pretrained model with specific prefix. Args: prefix (str): The prefix of sub-module. filename (str): Accept local fi

Build multiple branch.

Build fuse layer.

Make each layer.

Build one branch.

Make stem layer for ResNet.

Reference: https://people.sc.fsu.edu/~jburkardt/presentations /truncated_normal.pdf

Pad images according to ``self.size``.

Pad masks according to ``results['pad_shape']``.

Parse iterable values in the string. All elements inside '()' or '[]' are treated as iterable values. Args: val (str): V

Parse the raw outputs (losses) of the network. Args: losses (dict): Raw output of the network, which usually contain

Positiong embeding method. Resize the pos_embed, if the input image size doesn't match the training size. Args:

Substitute base variable placehoders to string, so that parsing would work.

Randomly sample an img_scale according to ``ratio_range`` and ``multiscale_mode``. If ``ratio_range`` is specified, a ratio will be s

Register a handler for some file extensions. Args: handler (:obj:`BaseFileHandler`): Handler to be registered. file_formats (str