Bump version to 3.0.0rc1 (#8873)

* bump version to 3.0.0rc1

* update

* update

Author: hhaAndroid

README.md

@@ -75,13 +75,10 @@ Apart from MMDetection, we also released [MMEngine](https://github.com/open-mmla
 
 ## What's New
 
-**v3.0.0rc0** was released in 31/8/2022:
+**v3.0.0rc1** was released in 26/9/2022:
 
-- Unifies interfaces of all components based on [MMEngine](https://github.com/open-mmlab/mmengine).
-- Faster training and testing speed with complete support of mixed precision training.
-- Refactored and more flexible [architecture](https://mmdetection.readthedocs.io/en/3.x/overview.html).
-- Provides more strong baselines and a general semi-supervised object detection framework. See [tutorial of semi-supervised detection](https://mmdetection.readthedocs.io/en/3.x/user_guides/semi_det.html).
-- Allows any kind of single-stage model as an RPN in a two-stage model. See [tutorial](https://mmdetection.readthedocs.io/en/3.x/user_guides/single_stage_as_rpn.html).
+- Release a high-precision, low-latency single-stage object detector [RTMDet](configs/rtmdet).
+- Refactored anchor head and base head with `box type`.
 
 ## Installation
 

README_zh-CN.md

@@ -74,12 +74,10 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 ## 最新进展
 
-**v3.0.0rc0** 版本已经在 2022.8.31 发布：
+**v3.0.0rc1** 版本已经在 2022.9.26 发布：
 
-- 基于 [MMEngine](https://github.com/open-mmlab/mmengine) 统一了各组件接口。
-- 全面支持混合精度，训练测试速度更快。
-- 提供了更强的基线模型，并支持了通用的半监督目标检测框架，详见[半监督目标检测教程](https://mmdetection.readthedocs.io/zh_CN/3.x/user_guides/semi_det.html)。
-- 支持使用任意单阶段检测器作为二阶段模型的 RPN，详见[教程](https://mmdetection.readthedocs.io/zh_CN/3.x/user_guides/single_stage_as_rpn.html)。
+- 发布高精度低延时单阶段目标检测算法 [RTMDet](configs/rtmdet)。
+- 重构 Anchor Head 和 Base Head 以支持 `box type`。
 
 ## 安装
 

docs/en/notes/changelog.md

@@ -1,5 +1,36 @@
 # Changelog of v3.x
 
+## v3.0.0rc1 (26/9/2022)
+
+### Highlights
+
+- Release a high-precision, low-latency single-stage object detector [RTMDet](configs/rtmdet).
+
+#### Bug Fixes
+
+- Fix UT to be compatible with PyTorch 1.6 (#8707)
+- Fix `NumClassCheckHook` bug when model is wrapped (#8794)
+- Update the right URL of R-50-FPN with BoundedIoULoss (#8805)
+- Fix potential bug of indices in RandAugment (#8826)
+- Fix some types and links (#8839, #8820, #8793, #8868)
+- Fix incorrect background fill values in `FSAF` and `RepPoints` Head (#8813)
+
+#### Improvements
+
+- Refactored anchor head and base head with `box type` (#8625)
+- Refactored `SemiBaseDetector` and `SoftTeacher` (#8786)
+- Add list to dict keys to avoid modify loss dict (#8828)
+- Update `analyze_results.py` , `analyze_logs.py` and `loading.py` (#8430, #8402, #8784)
+- Support dump results in `test.py` (#8814)
+- Check empty predictions in `DetLocalVisualizer._draw_instances` (#8830)
+- Fix `floordiv` warning in `SOLO` (#8738)
+
+#### Contributors
+
+A total of 16 developers contributed to this release.
+
+Thanks @ZwwWayne, @jbwang1997, @Czm369, @ice-tong, @Zheng-LinXiao, @chhluo, @RangiLyu, @liuyanyi, @wanghonglie, @levan92, @JiayuXu0, @nye0, @hhaAndroid, @xin-li-67, @shuxp, @zytx121
+
 ## v3.0.0rc0 (31/8/2022)
 
 We are excited to announce the release of MMDetection 3.0.0rc0. MMDet 3.0.0rc0 is the first version of MMDetection 3.x, a part of the OpenMMLab 2.0 projects. Built upon the new [training engine](https://github.com/open-mmlab/mmengine), MMDet 3.x unifies the interfaces of the dataset, models, evaluation, and visualization with faster training and testing speed. It also provides a general semi-supervised object detection framework and strong baselines.

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '3.0.0rc0'
+__version__ = '3.0.0rc1'
 short_version = __version__
 
 

model-index.yml

@@ -53,6 +53,7 @@ Import:
   - configs/pisa/metafile.yml
   - configs/point_rend/metafile.yml
   - configs/queryinst/metafile.yml
+  - configs/rtmdet/metafile.yml
   - configs/regnet/metafile.yml
   - configs/reppoints/metafile.yml
   - configs/res2net/metafile.yml