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## Motivation
Support CAT-Seg open-vocabulary semantic segmentation (CVPR2023).
## Modification
Support CAT-Seg open-vocabulary semantic segmentation (CVPR2023).
- [x] Support CAT-Seg model training.
- [x] CLIP model based `backbone` (R101 & Swin-B), aggregation layers
based `neck`, and `decoder` head.
- [x] Provide customized coco-stuff164k_384x384 training configs.
- [x] Language model supports for `open vocabulary` (OV) tasks.
- [x] Support CLIP-based pretrained language model (LM) inference.
- [x] Add commonly used prompts templates.
- [x] Add README tutorials.
- [x] Add zero-shot testing scripts.
**Working on the following tasks.**
- [x] Add unit test.
## BC-breaking (Optional)
Does the modification introduce changes that break the
backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the
downstream projects should modify their code to keep compatibility with
this PR.
## Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases
here, and update the documentation.
## Checklist
1. Pre-commit or other linting tools are used to fix the potential lint
issues.
2. The modification is covered by complete unit tests. If not, please
add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects,
this PR should be tested with downstream projects, like MMDet or
MMDet3D.
4. The documentation has been modified accordingly, like docstring or
example tutorials.
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Co-authored-by: xiexinch <xiexinch@outlook.com>
Xu CAO