Bump version to v1.0.0rc5. (#1286)

Author: mzr1996

README.md

@@ -58,6 +58,14 @@ The `1.x` branch works with **PyTorch 1.6+**.
 
 ## What's new
 
+v1.0.0rc5 was released in 30/12/2022
+
+- Support **EVA**, **RevViT**, **EfficientnetV2**, **CLIP**, **TinyViT** and **MixMIM** backbones.
+- Reproduce the training accuracy of **ConvNeXt** and **RepVGG**.
+- Support **multi-task** training and testing. See [#1229](https://github.com/open-mmlab/mmclassification/pull/1229) for more details.
+- Support Test-time Augmentation. See [#1161](https://github.com/open-mmlab/mmclassification/pull/1161) for
+  more details.
+
 v1.0.0rc4 was released in 06/12/2022.
 
 - Upgrade API to get pre-defined models of MMClassification. See [#1236](https://github.com/open-mmlab/mmclassification/pull/1236) for more details.

README_zh-CN.md

@@ -57,6 +57,13 @@ MMClassification 是一款基于 PyTorch 的开源图像分类工具箱，是 [O
 
 ## 更新日志
 
+2022/12/30 发布了 v1.0.0rc5 版本
+
+- 支持了**EVA**, **RevViT**, **EfficientnetV2**, **CLIP**, **TinyViT** 和 **MixMIM** 等骨干网络结构
+- 复现了 ConvNeXt 和 RepVGG 的训练精度。
+- 支持了 **多任务** 训练和测试，详见 [#1229](https://github.com/open-mmlab/mmclassification/pull/1229)
+- 支持了测试时增强（TTA），详见 [#1161](https://github.com/open-mmlab/mmclassification/pull/1161)
+
 2022/12/06 发布了 v1.0.0rc4 版本
 
 - 更新了主要 API 接口，用以方便地获取 MMClassification 中预定义的模型。详见 [#1236](https://github.com/open-mmlab/mmclassification/pull/1236)。

docs/en/notes/changelog.md

@@ -1,5 +1,41 @@
 # Changelog
 
+## v1.0.0rc5(30/12/2022)
+
+### Highlights
+
+- Support EVA, RevViT, EfficientnetV2, CLIP, TinyViT and MixMIM backbones.
+- Reproduce the training accuracy of ConvNeXt and RepVGG.
+- Support multi-task training and testing.
+- Support Test-time Augmentation.
+
+### New Features
+
+- [Feature] Add EfficientnetV2 Backbone. ([#1253](https://github.com/open-mmlab/mmclassification/pull/1253))
+- [Feature] Support TTA and add `--tta` in `tools/test.py`. ([#1161](https://github.com/open-mmlab/mmclassification/pull/1161))
+- [Feature] Support Multi-task. ([#1229](https://github.com/open-mmlab/mmclassification/pull/1229))
+- [Feature] Add clip backbone. ([#1258](https://github.com/open-mmlab/mmclassification/pull/1258))
+- [Feature] Add mixmim backbone with checkpoints. ([#1224](https://github.com/open-mmlab/mmclassification/pull/1224))
+- [Feature] Add TinyViT for dev-1.x. ([#1042](https://github.com/open-mmlab/mmclassification/pull/1042))
+- [Feature] Add some scripts for development. ([#1257](https://github.com/open-mmlab/mmclassification/pull/1257))
+- [Feature] Support EVA. ([#1239](https://github.com/open-mmlab/mmclassification/pull/1239))
+- [Feature] Implementation of RevViT. ([#1127](https://github.com/open-mmlab/mmclassification/pull/1127))
+
+### Improvements
+
+- [Reproduce] Reproduce RepVGG  Training Accuracy. ([#1264](https://github.com/open-mmlab/mmclassification/pull/1264))
+- [Enhance] Support ConvNeXt More Weights. ([#1240](https://github.com/open-mmlab/mmclassification/pull/1240))
+- [Reproduce] Update ConvNeXt config files. ([#1256](https://github.com/open-mmlab/mmclassification/pull/1256))
+- [CI] Update CI to test PyTorch 1.13.0. ([#1260](https://github.com/open-mmlab/mmclassification/pull/1260))
+- [Project] Add ACCV workshop 1st Solution. ([#1245](https://github.com/open-mmlab/mmclassification/pull/1245))
+- [Project] Add Example project. ([#1254](https://github.com/open-mmlab/mmclassification/pull/1254))
+
+### Bug Fixes
+
+- [Fix] Fix imports in transforms. ([#1255](https://github.com/open-mmlab/mmclassification/pull/1255))
+- [Fix] Fix CAM visualization. ([#1248](https://github.com/open-mmlab/mmclassification/pull/1248))
+- [Fix] Fix the requirements and lazy register mmcls models. ([#1275](https://github.com/open-mmlab/mmclassification/pull/1275))
+
 ## v1.0.0rc4(06/12/2022)
 
 ### Highlights

mmcls/__init__.py

@@ -10,7 +10,7 @@
 mmcv_maximum_version = '2.0.0'
 mmcv_version = digit_version(mmcv.__version__)
 
-mmengine_minimum_version = '0.2.0'
+mmengine_minimum_version = '0.4.0'
 mmengine_maximum_version = '1.0.0'
 mmengine_version = digit_version(mmengine.__version__)
 

mmcls/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved
 
-__version__ = '1.0.0rc4'
+__version__ = '1.0.0rc5'
 
 
 def parse_version_info(version_str):

requirements/mminstall.txt

@@ -1,2 +1,2 @@
 mmcv>=2.0.0rc1,<=2.0.0
-mmengine>=0.2.0,<1.0.0
+mmengine>=0.4.0,<1.0.0