Bump to version 0.16.1 (#1664)

* [Bump to version 0.16.1]

* update date

README.md

@@ -82,21 +82,33 @@ MMEditing maintains both master and 1.x branches. See more details in  [Branch M
 
 ### 💎 Stable version
 
-**0.16.0** was released in 31/10/2022:
+**0.16.1** was released in 24/02/2023:
 
-- `VisualizationHook` is deprecated. Users should use `MMEditVisualizationHook` instead.
-- Fix FLAVR register.
-- Fix the number of channels in RDB.
+- Support FID and KID metrics.
+- Support groups parameter in ResidualBlockNoBN.
+- Fix RealESRGAN test dataset.
+- Fix dynamic exportable ONNX of `pixel-unshuffle`.
 
 Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
 
 ### 🌟 Preview of 1.x version
 
-A brand new version of [**MMEditing v1.0.0rc1**](https://github.com/open-mmlab/mmediting/releases/tag/v1.0.0rc1) was released in 24/09/2022:
+A brand new version of [**MMEditing v1.0.0rc6**](https://github.com/open-mmlab/mmediting/releases/tag/v1.0.0rc6) was released in 24/02/2023:
 
 - Support all the tasks, models, metrics, and losses in [MMGeneration](https://github.com/open-mmlab/mmgeneration) 😍。
 - Unifies interfaces of all components based on [MMEngine](https://github.com/open-mmlab/mmengine).
 - Refactored and more flexible [architecture](https://mmediting.readthedocs.io/en/1.x/1_overview.html).
+- Support well-known text-to-image method [Stable Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/stable_diffusion/README.md)!
+- Support a new text-to-image algorithm [GLIDE](https://github.com/open-mmlab/mmediting/tree/1.x/projects/glide/configs/README.md)!
+- Support Text2Image Task! [Disco-Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/disco_diffusion/README.md)!
+- Support 3D-aware Generation Task! [EG3D](https://github.com/open-mmlab/mmediting/tree/1.x/configs/eg3d/README.md)!
+- Support an efficient image restoration algorithm [Restormer](https://github.com/open-mmlab/mmediting/tree/1.x/configs/restormer/README.md)!
+- Support swin based image restoration algorithm [SwinIR](https://github.com/open-mmlab/mmediting/tree/1.x/configs/swinir/README.md)!
+- Support [Image Colorization](https://github.com/open-mmlab/mmediting/tree/1.x/configs/inst_colorization/README.md).
+- [Projects](https://github.com/open-mmlab/mmediting/tree/1.x/projects/README.md) is opened for the community to add projects to MMEditing.
+- Support High-level apis and inferencer.
+- Support Gradio gui of Inpainting inference.
+- Support patch-based and slider-based image and video comparison viewer.
 
 Find more new features in [1.x branch](https://github.com/open-mmlab/mmediting/tree/1.x). Issues and PRs are welcome!
 

README_zh-CN.md

@@ -82,21 +82,33 @@ MMEditing 同时维护 0.x 和 1.x 版本，详情见[分支维护计划](README
 
 ### 💎 稳定版本
 
-最新的 **0.16.0** 版本已经在 31/10/2022 发布：
+最新的 **0.16.1** 版本已经在 24/02/2023 发布：
 
-- `VisualizationHook` 将被弃用，建议用户使用 `MMEditVisualizationHook`。
-- 修复 FLAVR 的注册问题。
-- 修正 RDB 模型中的通道数。
+- 支持新评价指标 FID 和 KID。
+- 支持 ResidualBlockNoBN 模块设置 `groups` 参数。
+- 修复 RealESRGAN 测试数据集配置。
+- 修复 `pixel-unshuffle` 模块动态输入导出 ONNX 的Bug。
 
-如果像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)。
+如果像了解更多版本更新细节和历史信息，请阅读[更新日志](/docs/zh_cn/changelog.md)。
 
 ### 🌟 1.x 预览版本
 
-全新的 [**MMEditing v1.0.0rc1**](https://github.com/open-mmlab/mmediting/releases/tag/v1.0.0rc1) 已经在 24/09/2022 发布:
+全新的 [**MMEditing v1.0.0rc6**](https://github.com/open-mmlab/mmediting/releases/tag/v1.0.0rc6) 已经在 24/02/2023 发布:
 
 - 支持[MMGeneration](https://github.com/open-mmlab/mmgeneration)中的全量任务、模型、优化函数和评价指标 😍。
 - 基于[MMEngine](https://github.com/open-mmlab/mmengine)统一了各组件接口。
 - 重构之后更加灵活 [architecture](https://mmediting.readthedocs.io/en/1.x/1_overview.html)。
+- 支持了著名的文本生成图像方法 [Stable Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/stable_diffusion/README.md)!
+- 支持了一个新的文本到图像生成算法 [GLIDE](https://github.com/open-mmlab/mmediting/tree/1.x/projects/glide/configs/README.md)!
+- 支持了一个新的文本到图像生成算法 [Disco-Diffusion](https://github.com/open-mmlab/mmediting/tree/1.x/configs/disco_diffusion/README.md)!
+- 支持了3D生成算法 [EG3D](https://github.com/open-mmlab/mmediting/tree/1.x/configs/eg3d/README.md)!
+- 支持了一个高效的图像复原算法 [Restormer](https://github.com/open-mmlab/mmediting/tree/1.x/configs/restormer/README.md)!
+- 支持了基于swin的图像复原算法 [SwinIR](https://github.com/open-mmlab/mmediting/tree/1.x/configs/swinir/README.md)!
+- 支持图像上色算法 [Image Colorization](https://github.com/open-mmlab/mmediting/tree/1.x/configs/inst_colorization/README.md).
+- 开启了[Projects](https://github.com/open-mmlab/mmediting/tree/1.x/projects/README.md)以便社区用户添加新的项目到MMEditing.
+- 支持了 High-level apis and inferencer.
+- 支持Inpainting任务的Gradio交互GUI.
+- 支持基于patch以及滑动条的图像和视频可视化比较工具.
 
 在[1.x 分支](https://github.com/open-mmlab/mmediting/tree/1.x)中发现更多特性！欢迎提 Issues 和 PRs！
 

docs/en/changelog.md

@@ -1,5 +1,33 @@
 # Changelog
 
+## v0.16.1 (24/02/2023)
+
+**New Features & Improvements**
+
+- Support FID and KID metrics. [#775](https://github.com/open-mmlab/mmediting/pull/775)
+- Support groups parameter in ResidualBlockNoBN. [#1510](https://github.com/open-mmlab/mmediting/pull/1510)
+
+**Bug Fixes**
+
+- Fix bug of TTSR configuration file. [#1435](https://github.com/open-mmlab/mmediting/pull/1435)
+- Fix RealESRGAN test dataset. [#1489](https://github.com/open-mmlab/mmediting/pull/1489)
+- Fix dump config in train scrips. [#1584](https://github.com/open-mmlab/mmediting/pull/1584)
+- Fix dynamic exportable ONNX of `pixel-unshuffle`. [#1637](https://github.com/open-mmlab/mmediting/pull/1637)
+
+**Contributors**
+
+A total of 10 developers contributed to this release.
+Thanks @LeoXing1996, @Z-Fran, @zengyh1900, @liuky74, @KKIEEK, @zeakey, @Sqhttwl, @yhna940, @gihwan-kim, @vansin
+
+**New Contributors**
+
+- @liuky74 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1435
+- @KKIEEK made their first contribution in https://github.com/open-mmlab/mmediting/pull/775
+- @zeakey made their first contribution in https://github.com/open-mmlab/mmediting/pull/1584
+- @Sqhttwl made their first contribution in https://github.com/open-mmlab/mmediting/pull/1627
+- @yhna940 made their first contribution in https://github.com/open-mmlab/mmediting/pull/1637
+- @gihwan-kim made their first contribution in https://github.com/open-mmlab/mmediting/pull/1510
+
 ## v0.16.0 (31/10/2022)
 
 **Deprecations**

docs/zh_cn/changelog.md

@@ -1,5 +1,23 @@
 # 变更日志
 
+## v0.16.1 (24/02/2023)
+
+**新特性和改进**
+
+- 支持新评价指标 FID 和 KID。 [#775](https://github.com/open-mmlab/mmediting/pull/775)
+- 支持 ResidualBlockNoBN 模块设置 `groups` 参数。 [#1510](https://github.com/open-mmlab/mmediting/pull/1510)
+
+**Bug 修复**
+
+- 修复 TTSR 配置文件的 Bug。 [#1435](https://github.com/open-mmlab/mmediting/pull/1435)
+- 修复 RealESRGAN 测试数据集配置。 [#1489](https://github.com/open-mmlab/mmediting/pull/1489)
+- 修复训练脚本储存 config 文件的功能。 [#1584](https://github.com/open-mmlab/mmediting/pull/1584)
+- 修复 `pixel-unshuffle` 模块动态输入导出 ONNX 的Bug。 [#1637](https://github.com/open-mmlab/mmediting/pull/1637)
+
+**贡献者**
+
+一共有 10 位开发者对本次发布做出贡献。感谢 @LeoXing1996, @Z-Fran, @zengyh1900, @liuky74, @KKIEEK, @zeakey, @Sqhttwl, @yhna940, @gihwan-kim, @vansin。
+
 ## v0.16.0 (31/10/2022)
 
 **接口变更**

mmedit/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.16.0'
+__version__ = '0.16.1'
 
 
 def parse_version_info(version_str):