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update maskformer docs #18423

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merged 4 commits into from
Aug 2, 2022
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update maskformer docs #18423

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a8ceafc
update maskformer docs
alaradirik Aug 2, 2022
4e797df
update maskformer docs
alaradirik Aug 2, 2022
5c6d251
Merge branch 'huggingface:main' into update-maskformer-docs
alaradirik Aug 2, 2022
6b5cf40
fix typo
alaradirik Aug 2, 2022
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2 changes: 1 addition & 1 deletion docs/source/en/model_doc/maskformer.mdx
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Expand Up @@ -33,7 +33,7 @@ Tips:
`get_num_masks` function inside in the `MaskFormerLoss` class of `modeling_maskformer.py`. When training on multiple nodes, this should be
set to the average number of target masks across all nodes, as can be seen in the original implementation [here](https://github.com/facebookresearch/MaskFormer/blob/da3e60d85fdeedcb31476b5edd7d328826ce56cc/mask_former/modeling/criterion.py#L169).
- One can use [`MaskFormerFeatureExtractor`] to prepare images for the model and optional targets for the model.
- To get the final segmentation, depending on the task, you can call [`~MaskFormerFeatureExtractor.post_process_semantic_segmentation`] or [`~MaskFormerFeatureExtractor.post_process_panoptic_segmentation`]. Both tasks can be solved using [`MaskFormerForInstanceSegmentation`] output, the latter needs an additional `is_thing_map` to know which instances must be merged together..
- To get the final segmentation, depending on the task, you can call [`~MaskFormerFeatureExtractor.post_process_semantic_segmentation`] or [`~MaskFormerFeatureExtractor.post_process_panoptic_segmentation`]. Both tasks can be solved using [`MaskFormerForInstanceSegmentation`] output, panoptic segmentation accepts an optional `label_ids_to_fuse` argument to fuse instances of the target object/s (e.g. sky) together.

The figure below illustrates the architecture of MaskFormer. Taken from the [original paper](https://arxiv.org/abs/2107.06278).

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