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We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.
You can either:
- Suggest a new feature by leaving a comment.
- Vote for a feature request with +1 or be against with -1. (Remember that developers are busy and cannot respond to all feature requests, so vote for your most favorable one!)
- Tell us that you would like to help implement one of the features in the list or review the PRs. (This is the greatest things to hear about!)
V0.1.0(2023.3)
- code
| Task | Description | Difficulty | Status |
|---|---|---|---|
| Support Hausdorff distance loss | Realize Hausdorff distance loss refer to the source code | ★★☆ | ❤️ Picked! #2820 Thanks to @jinxianwei |
| Support boundary loss | Realize boundary loss refer to the source code | ★★☆ | ❤️ Picked! Thanks to @Fun772283153 |
| Support SwinV2 (UperNet) model | Add SwinV2 (UperNet) model in MMSegmentation projects, inference accuracy needed to align with the original open source code library, details see | ★★★ | 🤍 Pick me! |
| Support TransUnet model | Add TransUnet model in MMSegmentation projects, inference accuracy needed to align with the original open source code library, details see | ★★★ | 🤍 Pick me! |
| Add semantic information to segmentation results visualization | Current segmentation result visualization only assign a specified color to each semantic segmentation area without category information, the task is to add segmentation category information to the visualization results, details see | ★★☆ | ❤️ Picked! Thanks to @JoyMei |
| Task | Description | Difficulty | Status |
|---|---|---|---|
| 支持 Hausdorff distance loss | 参考源码地址实现 Hausdorff distance loss | ★★☆ | ❤️ Picked! #2820 Thanks to @jinxianwei |
| 支持 boundary loss | 参考源码地址实现 boundary loss | ★★☆ | ❤️ Picked! Thanks to @Fun772283153 |
| 支持 SwinV2 (UperNet) 模型 | 在 MMSegmentation projects 中添加 SwinV2 (UperNet) 模型,需要和原始开源代码库中的模型推理精度一致,详细可见 | ★★★ | 🤍 Pick me! |
| 支持 TransUnet 模型 | 在 MMSegmentation projects 中添加 TransUnet 模型,需要和原始开源代码库中的模型推理精度一致,详细可见 | ★★★ | 🤍 Pick me! |
| 分割可视化结果中加上语义信息 | 当前分割结果可视化内容是只是给每一个语义分割区域分配指定颜色,没有类别信息,该任务是希望将分割类别信息添加到可视化结果中,详细可见 | ★★☆ | ❤️ Picked! Thanks to @JoyMei |
- documentation
| Task | Description | Difficulty | Status |
|---|---|---|---|
| Zh_CN FAQ documentation migration | Migrate several common usage questions in MMSegmentation master branch Chinese FAQ documentation to dev-1.x branch Chinese FAQ documentation | ★☆☆ | ❤️ #2769 Thanks to @AI-Tianlong |
| EN FAQ documentation migration | Migrate several common usage questions in MMSegmentation master branch English FAQ documentation to dev-1.x branch English FAQ documentation | ★☆☆ | ❤️ #2765 Thanks to @Renzhihan |
| Task | Description | Difficulty | Status |
|---|---|---|---|
| 中文 FAQ 文档迁移 | MMSegmentation master 分支 FAQ 中文文档中有多个常见使用问题迁移到 dev-1.x 分支 FAQ 中文文档中 | ★☆☆ | ❤️ #2769 Thanks to @AI-Tianlong |
| 英文 FAQ 文档迁移 | MMSegmentation master 分支 FAQ 英文文档中有多个常见使用问题迁移到 dev-1.x 分支 FAQ 英文文档中 | ★☆☆ | ❤️ #2765 Thanks to @Renzhihan |
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