Args: input (dict): one dataset dict with "image" field being a CHW tensor Returns: dict: one output dict

Prepare self._gts and self._dts for evaluation based on params.

Map back labels

support dataset_source

Accumulate per image evaluation results and store the result in self.eval.

Add config for MASK_FORMER.

Create a list of default :class:`Augmentation` from config. Now it includes resizing and flipping. Returns: list[Augmentation]

Create a list of default :class:`Augmentation` from config. Now it includes resizing and flipping. Returns: list[Augmentation]

Build a instance embedding branch from `cfg.MODEL.INS_EMBED_HEAD.NAME`.

We estimate uncerainty as L1 distance between 0.0 and the logit prediction in 'logits' for the foreground class in `classes`. Args:

Filter LVIS instance segmentation annotations to remove all categories that are not included in COCO. The new json files can be used to evalu

Compute Average Precision according to the definition in VOCdevkit. Precision is modified to ensure that it does not decrease as recall decrease.

Creates a label colormap used in ADE20K segmentation benchmark. Returns: A colormap for visualizing segmentation results.

Replace non-padding symbols with their position numbers. Position numbers begin at padding_idx + 1. Padding symbols are ignored. This is modi

Similar to detectron2.data.build.get_detection_dataset_dicts, but also returns the dataset source.