Bump version to v0.23.0 (#1439)

* Bump version to v0.23.0 * new contributor * rephrase * tyoi * typo * get_started * typo * rephrase * rephrase * rephrase
2025-06-03 22:03:48 +08:00 · 2022-04-01 15:43:19 +08:00 · 2022-04-01 15:43:19 +08:00 · 6670672345
commit 6670672345
parent d6a6c39a70
7 changed files with 56 additions and 14 deletions
--- a/README.md
+++ b/README.md
@ -66,7 +66,7 @@ This project is released under the [Apache 2.0 license](LICENSE).

 ## Changelog

-v0.22.1 was released in 3/9/2022.
+v0.23.0 was released in 4/1/2022.
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.

 ## Benchmark and model zoo
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@ -65,7 +65,7 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O

 ## 更新日志

-最新版本 v0.22.1 在 2022.3.9 发布。
+最新版本 v0.23.0 在 2022.4.1 发布。
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/en/changelog.md)。

 ## 基准测试和模型库
--- a/docker/serve/Dockerfile
+++ b/docker/serve/Dockerfile
@ -4,7 +4,7 @@ ARG CUDNN="7"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

 ARG MMCV="1.4.4"
-ARG MMSEG="0.22.0"
+ARG MMSEG="0.23.0"

 ENV PYTHONUNBUFFERED TRUE

--- a/docs/en/changelog.md
+++ b/docs/en/changelog.md
@ -1,5 +1,49 @@
 ## Changelog

+### V0.23.0 (4/1/2022)
+
+**Highlights**
+
+- Support BEiT: BERT Pre-Training of Image Transformers
+- Support K-Net: Towards Unified Image Segmentation
+- Add `avg_non_ignore` of CELoss to support average loss over non-ignored elements
+- Support dataset initialization with file client
+
+**New Features**
+
+- Support BEiT: BERT Pre-Training of Image Transformers ([#1404](https://github.com/open-mmlab/mmsegmentation/pull/1404))
+- Support K-Net: Towards Unified Image Segmentation ([#1289](https://github.com/open-mmlab/mmsegmentation/pull/1289))
+- Support dataset initialization with file client ([#1402](https://github.com/open-mmlab/mmsegmentation/pull/1402))
+- Add class name function for STARE datasets ([#1376](https://github.com/open-mmlab/mmsegmentation/pull/1376))
+- Support different seeds on different ranks when distributed training ([#1362](https://github.com/open-mmlab/mmsegmentation/pull/1362))
+- Add `nlc2nchw2nlc` and `nchw2nlc2nchw` to simplify tensor with different dimension operation ([#1249](https://github.com/open-mmlab/mmsegmentation/pull/1249))
+
+**Improvements**
+
+- Synchronize random seed for distributed sampler ([#1411](https://github.com/open-mmlab/mmsegmentation/pull/1411))
+- Add script and documentation for multi-machine distributed training ([#1383](https://github.com/open-mmlab/mmsegmentation/pull/1383))
+
+**Bug Fixes**
+
+- Add `avg_non_ignore` of CELoss to support average loss over non-ignored elements ([#1409](https://github.com/open-mmlab/mmsegmentation/pull/1409))
+- Fix some wrong URLs of models or logs in `./configs` ([#1336](https://github.com/open-mmlab/mmsegmentation/pull/1433))
+- Add title and color theme arguments to plot function in `tools/confusion_matrix.py` ([#1401](https://github.com/open-mmlab/mmsegmentation/pull/1401))
+- Fix outdated link in Colab demo ([#1392](https://github.com/open-mmlab/mmsegmentation/pull/1392))
+- Fix typos ([#1424](https://github.com/open-mmlab/mmsegmentation/pull/1424), [#1405](https://github.com/open-mmlab/mmsegmentation/pull/1405), [#1371](https://github.com/open-mmlab/mmsegmentation/pull/1371), [#1366](https://github.com/open-mmlab/mmsegmentation/pull/1366), [#1363](https://github.com/open-mmlab/mmsegmentation/pull/1363))
+
+**Documentation**
+
+- Add FAQ document ([#1420](https://github.com/open-mmlab/mmsegmentation/pull/1420))
+- Fix the config name style description in official docs([#1414](https://github.com/open-mmlab/mmsegmentation/pull/1414))
+
+**Contributors**
+
+* @kinglintianxia made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1371
+* @CCODING04 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1376
+* @mob5566 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1401
+* @xiongnemo made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1392
+* @Xiangxu-0103 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1405
+
 ### V0.22.1 (3/9/2022)

 **Bug Fixes**
@ -45,7 +89,6 @@
 - Upload completed STDC models. ([#1332](https://github.com/open-mmlab/mmsegmentation/pull/1332))
 - Fix `DNLHead` exports onnx inference difference type Cast error. ([#1161](https://github.com/open-mmlab/mmsegmentation/pull/1332))

-
 **Contributors**

 - @JiaYanhao made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1269
@ -120,14 +163,11 @@

 - Change options to cfg-options ([#1129](https://github.com/open-mmlab/mmsegmentation/pull/1129))

-
 **Bug Fixes**

 - Fix `<!-- [ABSTRACT] -->` in metafile. ([#1127](https://github.com/open-mmlab/mmsegmentation/pull/1127))
 - Fix correct `num_classes` of HRNet in `LoveDA` dataset ([#1136](https://github.com/open-mmlab/mmsegmentation/pull/1136))

-
-
 ### V0.20 (12/10/2021)

 **Highlights**
--- a/docs/en/get_started.md
+++ b/docs/en/get_started.md
@ -12,6 +12,7 @@ The compatible MMSegmentation and MMCV versions are as below. Please install the
 | MMSegmentation version |        MMCV version        | MMClassification version |
 |:----------------------:|:--------------------------:|:------------------------:|
 |         master         |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0   |
+|         0.23.0         |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0   |
 |         0.22.0         |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0   |
 |         0.21.1         |  mmcv-full>=1.4.4, <=1.5.0  | Not required             |
 |         0.20.2         | mmcv-full>=1.3.13, <=1.5.0  | Not required             |
--- a/docs/zh_cn/get_started.md
+++ b/docs/zh_cn/get_started.md
@ -9,12 +9,13 @@

 可编译的 MMSegmentation 和 MMCV 版本如下所示，请对照对应版本安装以避免安装问题。

-| MMSegmentation 版本 |          MMCV 版本         | MMClassification 版本  |
-|:-----------------:|:--------------------------:|:----------------------:|
-|      master       |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0 |
-|      0.22.0       |  mmcv-full>=1.4.4, <=1.5.0  | mmcls>=0.20.1, <=1.0.0 |
-|      0.21.1       |  mmcv-full>=1.4.4, <=1.5.0  | Not required             |
-|      0.20.2       | mmcv-full>=1.3.13, <=1.5.0  | Not required             |
+| MMSegmentation 版本 |          MMCV 版本         | MMClassification 版本    |
+|:-----------------:|:--------------------------:|:------------------------:|
+|      master       |  mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0   |
+|      0.23.0       |  mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0   |
+|      0.22.0       |  mmcv-full>=1.4.4, <=1.5.0 | mmcls>=0.20.1, <=1.0.0   |
+|      0.21.1       |  mmcv-full>=1.4.4, <=1.5.0 | Not required             |
+|      0.20.2       | mmcv-full>=1.3.13, <=1.5.0 | Not required             |
 |      0.19.0       | mmcv-full>=1.3.13, <1.3.17 | Not required             |
 |      0.18.0       | mmcv-full>=1.3.13, <1.3.17 | Not required             |
 |      0.17.0       | mmcv-full>=1.3.7, <1.3.17  | Not required             |
--- a/mmseg/version.py
+++ b/mmseg/version.py
@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.

-__version__ = '0.22.1'
+__version__ = '0.23.0'


 def parse_version_info(version_str):