diff --git a/README.md b/README.md index a3c9806e7..3c5b3f0d9 100644 --- a/README.md +++ b/README.md @@ -66,7 +66,7 @@ This project is released under the [Apache 2.0 license](LICENSE). ## Changelog -v0.23.0 was released in 4/1/2022. +v0.24.0 was released in 4/29/2022. Please refer to [changelog.md](docs/en/changelog.md) for details and release history. ## Benchmark and model zoo diff --git a/README_zh-CN.md b/README_zh-CN.md index 8d2ac0ff3..cb29dba23 100644 --- 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 v0.23.0 在 2022.4.1 发布。 +最新版本 v0.24.0 在 2022.4.29 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 diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile index a53e383b0..5e871063c 100644 --- a/docker/serve/Dockerfile +++ b/docker/serve/Dockerfile @@ -4,7 +4,7 @@ ARG CUDNN="8" FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel ARG MMCV="1.4.8" -ARG MMSEG="0.23.0" +ARG MMSEG="0.24.0" ENV PYTHONUNBUFFERED TRUE diff --git a/docs/en/changelog.md b/docs/en/changelog.md index 6fda96cb2..35887fae3 100644 --- a/docs/en/changelog.md +++ b/docs/en/changelog.md @@ -1,5 +1,68 @@ ## Changelog +### V0.24.0 (4/29/2022) + +**Highlights** + +- Support MAE: Masked Autoencoders Are Scalable Vision Learners +- Support Resnet strikes back + +**New Features** + +- 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)) +- Support Resnet strikes back ([1390](https://github.com/open-mmlab/mmsegmentation/pull/1390)) +- Support extra dataloader settings in configs ([1435](https://github.com/open-mmlab/mmsegmentation/pull/1435)) + +**Bug Fixes** + +- Fix input previous results for the last cascade_decode_head ([#1450](https://github.com/open-mmlab/mmsegmentation/pull/1450)) +- Fix validation loss logging ([#1494](https://github.com/open-mmlab/mmsegmentation/pull/1494)) +- Fix the bug in binary_cross_entropy ([1527](https://github.com/open-mmlab/mmsegmentation/pull/1527)) +- Support single channel prediction for Binary Cross Entropy Loss ([#1454](https://github.com/open-mmlab/mmsegmentation/pull/1454)) +- Fix potential bugs in accuracy.py ([1496](https://github.com/open-mmlab/mmsegmentation/pull/1496)) +- Avoid converting label ids twice by label map during evaluation ([1417](https://github.com/open-mmlab/mmsegmentation/pull/1417)) +- Fix bug about label_map ([1445](https://github.com/open-mmlab/mmsegmentation/pull/1445)) +- Fix image save path bug in Windows ([1423](https://github.com/open-mmlab/mmsegmentation/pull/1423)) +- Fix MMSegmentation Colab demo ([1501](https://github.com/open-mmlab/mmsegmentation/pull/1501), [1452](https://github.com/open-mmlab/mmsegmentation/pull/1452)) +- Migrate azure blob for beit checkpoints ([1503](https://github.com/open-mmlab/mmsegmentation/pull/1503)) +- Fix bug in `tools/analyse_logs.py` caused by wrong plot_iter in some cases ([1428](https://github.com/open-mmlab/mmsegmentation/pull/1428)) + +**Improvements** + +- Merge BEiT and ConvNext's LR decay optimizer constructors ([#1438](https://github.com/open-mmlab/mmsegmentation/pull/1438)) +- Register optimizer constructor with mmseg ([#1456](https://github.com/open-mmlab/mmsegmentation/pull/1456)) +- Refactor transformer encode layer in ViT and BEiT backbone ([#1481](https://github.com/open-mmlab/mmsegmentation/pull/1481)) +- Add `build_pos_embed` and `build_layers` for BEiT ([1517](https://github.com/open-mmlab/mmsegmentation/pull/1517)) +- Add `with_cp` to mit and vit ([1431](https://github.com/open-mmlab/mmsegmentation/pull/1431)) +- Fix inconsistent dtype of `seg_label` in stdc decode ([1463](https://github.com/open-mmlab/mmsegmentation/pull/1463)) +- Delete random seed for training in `dist_train.sh` ([1519](https://github.com/open-mmlab/mmsegmentation/pull/1519)) +- Revise high `workers_per_gpus` in config file ([#1506](https://github.com/open-mmlab/mmsegmentation/pull/1506)) +- Add GPG keys and del mmcv version in Dockerfile ([1534](https://github.com/open-mmlab/mmsegmentation/pull/1534)) +- Update checkpoint for model in deeplabv3plus ([#1487](https://github.com/open-mmlab/mmsegmentation/pull/1487)) +- Add `DistSamplerSeedHook` to set epoch number to dataloader when runner is `EpochBasedRunner` ([1449](https://github.com/open-mmlab/mmsegmentation/pull/1449)) +- Provide URLs of Swin Transformer pretrained models ([1389](https://github.com/open-mmlab/mmsegmentation/pull/1389)) +- 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)) + +**Documentation** + +- Add more clearly statement of CPU training/inference ([1518](https://github.com/open-mmlab/mmsegmentation/pull/1518)) + +**Contributors** + +* @jiangyitong made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1431 +* @kahkeng made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1447 +* @Nourollah made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1446 +* @androbaza made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1452 +* @Yzichen made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1445 +* @whu-pzhang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1423 +* @panfeng-hover made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1417 +* @Johnson-Wang made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1496 +* @jere357 made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1460 +* @mfernezir made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1494 +* @donglixp made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1503 +* @YuanLiuuuuuu made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1307 +* @Dawn-bin made their first contribution in https://github.com/open-mmlab/mmsegmentation/pull/1527 + ### V0.23.0 (4/1/2022) **Highlights** diff --git a/docs/en/get_started.md b/docs/en/get_started.md index 8ddd25637..ce7f0a373 100644 --- 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, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | +| 0.24.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.23.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.22.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.21.1 | mmcv-full>=1.4.4, <=1.6.0 | Not required | diff --git a/docs/zh_cn/get_started.md b/docs/zh_cn/get_started.md index 4957af382..5a81b9c53 100644 --- a/docs/zh_cn/get_started.md +++ b/docs/zh_cn/get_started.md @@ -12,6 +12,7 @@ | MMSegmentation 版本 | MMCV 版本 | MMClassification 版本 | |:-----------------:|:--------------------------:|:------------------------:| | master | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | +| 0.24.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.23.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.22.0 | mmcv-full>=1.4.4, <=1.6.0 | mmcls>=0.20.1, <=1.0.0 | | 0.21.1 | mmcv-full>=1.4.4, <=1.6.0 | Not required | diff --git a/mmseg/version.py b/mmseg/version.py index 85c6bf45f..1099c151d 100644 --- a/mmseg/version.py +++ b/mmseg/version.py @@ -1,6 +1,6 @@ # Copyright (c) Open-MMLab. All rights reserved. -__version__ = '0.23.0' +__version__ = '0.24.0' def parse_version_info(version_str):