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Bump version to v0.24.0 (open-mmlab#1533)
* [WIP] Bump version to v0.24.0 * changelog * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * Update docs/en/changelog.md Co-authored-by: MengzhangLI <[email protected]> * words * typo Co-authored-by: MengzhangLI <[email protected]>
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‎README.md‎

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## Changelog
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v0.23.0 was released in 4/1/2022.
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v0.24.0 was released in 4/29/2022.
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Please refer to [changelog.md](docs/en/changelog.md) for details and release history.
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## Benchmark and model zoo

‎README_zh-CN.md‎

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## 更新日志
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最新版本 v0.23.0 在 2022.4.1 发布。
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最新版本 v0.24.0 在 2022.4.29 发布。
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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)。
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## 基准测试和模型库

‎docker/serve/Dockerfile‎

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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="1.4.8"
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ARG MMSEG="0.23.0"
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ARG MMSEG="0.24.0"
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ENV PYTHONUNBUFFERED TRUE
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‎docs/en/changelog.md‎

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## Changelog
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### V0.24.0 (4/29/2022)
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**Highlights**
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- Support MAE: Masked Autoencoders Are Scalable Vision Learners
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- Support Resnet strikes back
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**New Features**
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- Support MAE: Masked Autoencoders Are Scalable Vision Learners ([1307](https://github.com/open-mmlab/mmsegmentation/pull/1307), [1523](https://github.com/open-mmlab/mmsegmentation/pull/1523))
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- Support Resnet strikes back ([1390](https://github.com/open-mmlab/mmsegmentation/pull/1390))
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- Support extra dataloader settings in configs ([1435](https://github.com/open-mmlab/mmsegmentation/pull/1435))
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**Bug Fixes**
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- Fix input previous results for the last cascade_decode_head ([#1450](https://github.com/open-mmlab/mmsegmentation/pull/1450))
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- Fix validation loss logging ([#1494](https://github.com/open-mmlab/mmsegmentation/pull/1494))
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- Fix the bug in binary_cross_entropy ([1527](https://github.com/open-mmlab/mmsegmentation/pull/1527))
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- Support single channel prediction for Binary Cross Entropy Loss ([#1454](https://github.com/open-mmlab/mmsegmentation/pull/1454))
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- Fix potential bugs in accuracy.py ([1496](https://github.com/open-mmlab/mmsegmentation/pull/1496))
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- Avoid converting label ids twice by label map during evaluation ([1417](https://github.com/open-mmlab/mmsegmentation/pull/1417))
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- Fix bug about label_map ([1445](https://github.com/open-mmlab/mmsegmentation/pull/1445))
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- Fix image save path bug in Windows ([1423](https://github.com/open-mmlab/mmsegmentation/pull/1423))
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- Fix MMSegmentation Colab demo ([1501](https://github.com/open-mmlab/mmsegmentation/pull/1501), [1452](https://github.com/open-mmlab/mmsegmentation/pull/1452))
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- Migrate azure blob for beit checkpoints ([1503](https://github.com/open-mmlab/mmsegmentation/pull/1503))
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- Fix bug in `tools/analyse_logs.py` caused by wrong plot_iter in some cases ([1428](https://github.com/open-mmlab/mmsegmentation/pull/1428))
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**Improvements**
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- Merge BEiT and ConvNext's LR decay optimizer constructors ([#1438](https://github.com/open-mmlab/mmsegmentation/pull/1438))
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- Register optimizer constructor with mmseg ([#1456](https://github.com/open-mmlab/mmsegmentation/pull/1456))
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- Refactor transformer encode layer in ViT and BEiT backbone ([#1481](https://github.com/open-mmlab/mmsegmentation/pull/1481))
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- Add `build_pos_embed` and `build_layers` for BEiT ([1517](https://github.com/open-mmlab/mmsegmentation/pull/1517))
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- Add `with_cp` to mit and vit ([1431](https://github.com/open-mmlab/mmsegmentation/pull/1431))
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- Fix inconsistent dtype of `seg_label` in stdc decode ([1463](https://github.com/open-mmlab/mmsegmentation/pull/1463))
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- Delete random seed for training in `dist_train.sh` ([1519](https://github.com/open-mmlab/mmsegmentation/pull/1519))
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- Revise high `workers_per_gpus` in config file ([#1506](https://github.com/open-mmlab/mmsegmentation/pull/1506))
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- Add GPG keys and del mmcv version in Dockerfile ([1534](https://github.com/open-mmlab/mmsegmentation/pull/1534))
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- Update checkpoint for model in deeplabv3plus ([#1487](https://github.com/open-mmlab/mmsegmentation/pull/1487))
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- Add `DistSamplerSeedHook` to set epoch number to dataloader when runner is `EpochBasedRunner` ([1449](https://github.com/open-mmlab/mmsegmentation/pull/1449))
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- Provide URLs of Swin Transformer pretrained models ([1389](https://github.com/open-mmlab/mmsegmentation/pull/1389))
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- Updating Dockerfiles From Docker Directory and `get_started.md` to reach latest stable version of Python, PyTorch and MMCV ([1446](https://github.com/open-mmlab/mmsegmentation/pull/1446))
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**Documentation**
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- Add more clearly statement of CPU training/inference ([1518](https://github.com/open-mmlab/mmsegmentation/pull/1518))
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**Contributors**
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* @jiangyitong made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1431
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* @kahkeng made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1447
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* @Nourollah made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1446
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* @androbaza made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1452
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* @Yzichen made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1445
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* @whu-pzhang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1423
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* @panfeng-hover made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1417
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* @Johnson-Wang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1496
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* @jere357 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1460
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* @mfernezir made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1494
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* @donglixp made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1503
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* @YuanLiuuuuuu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1307
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* @Dawn-bin made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1527
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### V0.23.0 (4/1/2022)
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**Highlights**

‎docs/en/get_started.md‎

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| MMSegmentation version | MMCV version | MMClassification version |
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|:----------------------:|:--------------------------:|:------------------------:|
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| master | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.24.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.23.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.22.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.21.1 | mmcv-full>=1.4.4, <=1.6.0 | Not required |

‎docs/zh_cn/get_started.md‎

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| MMSegmentation 版本 | MMCV 版本 | MMClassification 版本 |
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| master | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.24.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.23.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.22.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 |
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| 0.21.1 | mmcv-full>=1.4.4, <=1.6.0 | Not required |

‎mmseg/version.py‎

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# Copyright (c) Open-MMLab. All rights reserved.
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__version__ = '0.23.0'
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__version__ = '0.24.0'
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def parse_version_info(version_str):

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