Bump version to 1.0.0rc6 (#691)
* Bump version to 1.0.0rc6 * update changelog * update datepull/693/head v1.0.0rc6
Yixiao Fang
GitHub
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README.md
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README.md
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@ -67,6 +67,11 @@ The master branch works with **PyTorch 1.6** or higher.
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**The default branch has been switched to `1.x` from `master`, and we encourage users to migrate to the latest version, though it comes with some cost. Please refer to [Migration Guide](https://mmselfsup.readthedocs.io/en/1.x/migration.html) for more details.**
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MMSelfSup **v1.0.0rc6** was released in 10/02/2023.
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- Support `MaskFeat` with video dataset in `projects/maskfeat_video/`
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- Translate documentation to Chinese.
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MMSelfSup **v1.0.0rc5** was released in 30/12/2022.
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- Support `BEiT v2`, `MixMIM`, `EVA`.
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@ -74,12 +79,6 @@ MMSelfSup **v1.0.0rc5** was released in 30/12/2022.
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- Add Solution of FGIA ACCV 2022 (1st Place)
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- Refactor t-SNE
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MMSelfSup **v1.0.0rc4** was released in 07/12/2022.
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- Support BEiT v1 and MILAN.
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- Support low-level reconstruction visualization.
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- Refine documents algorithm pages.
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Please refer to [Changelog](https://mmselfsup.readthedocs.io/en/dev-1.x/notes/changelog.html) for details and release history.
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Differences between MMSelfSup 1.x and 0.x can be found in [Migration](https://mmselfsup.readthedocs.io/en/dev-1.x/migration.html).
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@ -67,6 +67,11 @@ MMSelfSup 是一个基于 PyTorch 实现的开源自监督表征学习工具箱
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**默认分支已经从 `master` 切换到 `1.x`。我们鼓励用户迁移到最新版本，请参考 [迁移指南](https://mmselfsup.readthedocs.io/zh_CN/1.x/migration.html) 以了解更多细节。**
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**v1.0.0rc6** 版本已经在 2023.2.10 发布。
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- 在 `projects/maskfeat_video/` 支持了 `MaskFeat` 的视频数据预训练
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- 将部分文档翻译成中文
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**v1.0.0rc5** 版本已经在 2022.12.30 发布。
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- 支持了 `BEiT v2`, `MixMIM`, `EVA`
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@ -74,12 +79,6 @@ MMSelfSup 是一个基于 PyTorch 实现的开源自监督表征学习工具箱
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- 添加 FGIA ACCV 2022 比赛第一名方案
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- 重构了 `t-SNE`
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**v1.0.0rc4** 版本已经在 2022.12.07 发布。
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- 支持 BEiT 和 MILAN 预训练
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- 支持 low-level 重建可视化
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- 更新模型库算法页面文档
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请参考 [更新日志](https://mmselfsup.readthedocs.io/zh_CN/dev-1.x/notes/changelog.html) 获取更多细节和历史版本信息。
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MMSelfSup 1.x 和 0.x 的不同点写在 [迁移文档](https://mmselfsup.readthedocs.io/zh_CN/dev-1.x/migration.html) 中。
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@ -2,6 +2,44 @@
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## MMSelfSup
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### v1.0.0rc6 (10/02/2023)
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The `master` branch is still 0.x version and we will checkout a new `1.x` branch to release 1.x version. The two versions will be maintained simultaneously in the future.
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We briefly list the major breaking changes here. Please refer to the [migration guide](../migration.md) for details and migration instructions.
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#### Highlight
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- Support `MaskFeat` with video dataset in `projects/maskfeat_video/`
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- Translate documentation to Chinese.
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#### New Features
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- Support `MaskFeat` with video dataset in `projects/maskfeat_video/` ([#678](https://github.com/open-mmlab/mmselfsup/pull/678))
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#### Bug Fixes
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- Fix distributed setting for shape bias ([#689](https://github.com/open-mmlab/mmselfsup/pull/689))
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- Update link of beitv2 ([#676](https://github.com/open-mmlab/mmselfsup/pull/676))
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- Pass param by explicitly setting location ([#654](https://github.com/open-mmlab/mmselfsup/pull/654))
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- Update default_runtime.py ([#681](https://github.com/open-mmlab/mmselfsup/pull/681))
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- Rename metafile.yaml to metafile.yml ([#680](https://github.com/open-mmlab/mmselfsup/pull/680))
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- Fix bugs in configs/selfsup/eva/metafile.yaml ([#669](https://github.com/open-mmlab/mmselfsup/pull/669))
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#### Improvements
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- Switch default branch to 1.x ([#686](https://github.com/open-mmlab/mmselfsup/pull/686))
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- Update pre-commit ([#685](https://github.com/open-mmlab/mmselfsup/pull/685))
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- Deprecate the support of python 3.6 ([#657](https://github.com/open-mmlab/mmselfsup/pull/657))
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#### Docs
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- Translate add_transforms.md and conventions.md ([#674](https://github.com/open-mmlab/mmselfsup/pull/674))
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- Translate classification.md, detection.md, segmentation.md ([#665](https://github.com/open-mmlab/mmselfsup/pull/665))
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- Update link of knn script ([#661](https://github.com/open-mmlab/mmselfsup/pull/661))
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- Translate two docs ([#653](https://github.com/open-mmlab/mmselfsup/pull/653))
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- Translate three docs ([#651](https://github.com/open-mmlab/mmselfsup/pull/651))
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### v1.0.0rc5 (30/12/2022)
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The `master` branch is still 0.x version and we will checkout a new `1.x` branch to release 1.x version. The two versions will be maintained simultaneously in the future.
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@ -12,7 +12,8 @@ Compatible MMEngine, MMCV, MMClassification, MMDetection and MMSegmentation vers
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| MMSelfSup version | MMEngine version | MMCV version | MMClassification version | MMSegmentation version | MMDetection version |
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| :---------------: | :-------------------------: | :------------------------: | :-------------------------: | :--------------------: | :-----------------: |
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| 1.0.0rc5 (1.x) | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc6 (1.x) | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc5 | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc4 | mmengine >= 0.3.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc4, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc3 | mmengine >= 0.3.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc0, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc2 | mmengine >= 0.1.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc0, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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@ -2,6 +2,44 @@
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## MMSelfSup
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### v1.0.0rc6 (10/02/2023)
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`master` 仍然是 0.x 版本，我们将会 checkout 一个新的 `1.x` 用来发布 1.x 版本。 未来我们会同时维护两个版本。
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我们简要的列出主要的改变。 请参考[迁移文档](../migration.md)来查看细节和迁移指引
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#### 亮点
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- 在 `projects/maskfeat_video/` 支持了 `MaskFeat` 视频数据集的预训练
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- 将部分文档翻译为中文
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#### 新特性
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- 在 `projects/maskfeat_video/` 支持了 `MaskFeat` 视频数据集的预训练 ([#678](https://github.com/open-mmlab/mmselfsup/pull/678))
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#### Bug 修复
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- 修复 `shape bias` 分布式训练的问题 ([#689](https://github.com/open-mmlab/mmselfsup/pull/689))
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- 更新 BEiT v2 的链接 ([#676](https://github.com/open-mmlab/mmselfsup/pull/676))
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- 修复传参时未指定参数的问题 ([#654](https://github.com/open-mmlab/mmselfsup/pull/654))
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- 更新 `default_runtime.py` 文件 ([#681](https://github.com/open-mmlab/mmselfsup/pull/681))
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- 将 `metafile.yaml` 重命名为 `metafile.yml` ([#680](https://github.com/open-mmlab/mmselfsup/pull/680))
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- 修复 `configs/selfsup/eva/metafile.yml` 中的问题 ([#669](https://github.com/open-mmlab/mmselfsup/pull/669))
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#### 改进
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- 默认分支修改为 1.x ([#686](https://github.com/open-mmlab/mmselfsup/pull/686))
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- 更新 pre-commit ([#685](https://github.com/open-mmlab/mmselfsup/pull/685))
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- 暂停 python 3.6 的支持 ([#657](https://github.com/open-mmlab/mmselfsup/pull/657))
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#### 文档
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- 翻译 add_transforms.md 和 conventions.md ([#674](https://github.com/open-mmlab/mmselfsup/pull/674))
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- 翻译 classification.md, detection.md, segmentation.md ([#665](https://github.com/open-mmlab/mmselfsup/pull/665))
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- 更新 KNN 脚本的链接 ([#661](https://github.com/open-mmlab/mmselfsup/pull/661))
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- 翻译两篇文档 ([#653](https://github.com/open-mmlab/mmselfsup/pull/653))
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- 翻译三篇文档 ([#651](https://github.com/open-mmlab/mmselfsup/pull/651))
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### v1.0.0rc5 (30/12/2022)
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`master` 仍然是 0.x 版本，我们将会 checkout 一个新的 `1.x` 用来发布 1.x 版本。 未来我们会同时维护两个版本。
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@ -12,7 +12,8 @@ MMCV, MMClassification, MMDetection and MMSegmentation 的版本兼容性如下
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| MMSelfSup version | MMEngine version | MMCV version | MMClassification version | MMSegmentation version | MMDetection version |
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| :---------------: | :-------------------------: | :------------------------: | :-------------------------: | :--------------------: | :-----------------: |
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| 1.0.0rc5 (1.x) | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc6 (1.x) | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc5 | mmengine >= 0.4.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc5, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc4 | mmengine >= 0.3.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc4, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc3 | mmengine >= 0.3.0, \< 1.0.0 | mmcv >= 2.0.0rc1, \< 2.1.0 | mmcls >= 1.0.0rc0, \< 1.1.0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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| 1.0.0rc2 | mmengine >= 0.1.0 | mmcv >= 2.0.0rc1 | mmcls >= 1.0.0rc0 | mmseg >= 1.0.0rc0 | mmdet >= 3.0.0rc0 |
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@ -1,6 +1,6 @@
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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '1.0.0rc5'
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__version__ = '1.0.0rc6'
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def parse_version_info(version_str):
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@ -1,5 +1,5 @@
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mmcls>=1.0.0rc5,<1.1.0
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mmcv>=2.0.0rc1,<2.1.0
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mmdet>=3.0.0rc0,<3.1.0
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# mmdet>=3.0.0rc0,<3.1.0
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mmengine>=0.4.0,<1.0.0
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mmsegmentation>=1.0.0rc0,<1.1.0
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# mmsegmentation>=1.0.0rc0,<1.1.0
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