From e9cae2d0787cd5c2fc6165a6061f92fa09e48fb1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Haian=20Huang=28=E6=B7=B1=E5=BA=A6=E7=9C=B8=29?= Date: Tue, 28 Feb 2023 10:17:10 +0800 Subject: [PATCH] Bump version to v2.28.2 (#9820) --- README.md | 16 +++++++++------- README_zh-CN.md | 16 +++++++++------- docker/serve/Dockerfile | 2 +- docs/en/changelog.md | 18 ++++++++++++++++++ docs/en/faq.md | 1 + docs/zh_cn/get_started.md | 1 + mmdet/version.py | 2 +- 7 files changed, 40 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index fba9f7d1a75..0efb3959fb2 100644 --- a/README.md +++ b/README.md @@ -90,11 +90,9 @@ Apart from MMDetection, we also released a library [mmcv](https://github.com/ope ### 💎 Stable version -**2.28.1** was released in 1/2/2023: +**2.28.2** was released in 27/2/2023: -- Support Objects365 Dataset, and Separated and Occluded COCO metric -- Support acceleration of RetinaNet and SSD on Ascend -- Deprecate the support of Python 3.6 and fix some bugs of 2.28.0 +- Fixed some known documentation, configuration and linking error issues Please refer to [changelog.md](docs/en/changelog.md) for details and release history. @@ -120,10 +118,14 @@ We are excited to announce our latest work on real-time object recognition tasks -A brand new version of **MMDetection v3.0.0rc5** was released in 26/12/2022: +A brand new version of **MMDetection v3.0.0rc6** was released in 27/2/2023: -- Support [RTMDet](https://arxiv.org/abs/2212.07784) instance segmentation models. The technical report of RTMDet is on [arxiv](https://arxiv.org/abs/2212.07784) -- Support SSHContextModule in paper [SSH: Single Stage Headless Face Detector](https://arxiv.org/abs/1708.03979) +- Support [Boxinst](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/boxinst), [Objects365 Dataset](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/objects365), and [Separated and Occluded COCO metric](https://github.com/open-mmlab/mmdetection/tree/3.x/docs/en/user_guides/useful_tools.md#coco-separated--occluded-mask-metric) +- Support [ConvNeXt-V2](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/ConvNeXt-V2), [DiffusionDet](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/DiffusionDet), and inference of [EfficientDet](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/EfficientDet) and [Detic](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/Detic) in `Projects` +- Refactor [DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/detr) series and support [Conditional-DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/conditional_detr), [DAB-DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/dab_detr), and [DINO](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/dino) +- Support DetInferencer, Test Time Augmentation, and auto import modules from registry +- Support RTMDet-Ins ONNXRuntime and TensorRT [deployment](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet/README.md#deployment-tutorial) +- Support [calculating FLOPs of detectors](https://github.com/open-mmlab/mmdetection/tree/3.x/docs/en/user_guides/useful_tools.md#Model-Complexity) Find more new features in [3.x branch](https://github.com/open-mmlab/mmdetection/tree/3.x). Issues and PRs are welcome! diff --git a/README_zh-CN.md b/README_zh-CN.md index a7e0c844b15..4cf25df0a1b 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -76,11 +76,9 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope ### 💎 稳定版本 -最新的 **2.28.1** 版本已经在 2023.2.1 发布: +最新的 **2.28.2** 版本已经在 2023.2.27 发布: -- 支持 Object365 数据集和遮挡物检测的 benchmark -- 支持 SSD 和 RetinaNet 算法在昇腾芯片上的加速 -- 不再保证对 Python 3.6 的支持并修复了 2.28.0 的一些 bug +- 修复了一些已知的文档、配置和链接错误问题 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)。 @@ -106,10 +104,14 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope -全新的 **v3.0.0rc5** 版本已经在 2022.12.26 发布： +全新的 **v3.0.0rc6** 版本已经在 2023.2.27 发布： -- 支持了 [RTMDet](https://arxiv.org/abs/2212.07784) 的实例分割模型。RTMDet 的技术报告发布在了 [arxiv](https://arxiv.org/abs/2212.07784) 上。 -- 支持了 [SSH: Single Stage Headless Face Detector](https://arxiv.org/abs/1708.03979) 论文中的 SSHContextModule +- 支持了 [Boxinst](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/boxinst), [Objects365 Dataset](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/objects365) 和 [Separated and Occluded COCO metric](https://github.com/open-mmlab/mmdetection/tree/3.x/docs/zh_cn/user_guides/useful_tools.md#coco-分离和遮挡实例分割性能评估) +- 在 `Projects` 中支持了 [ConvNeXt-V2](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/ConvNeXt-V2), [DiffusionDet](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/DiffusionDet) 和 [EfficientDet](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/EfficientDet), [Detic](https://github.com/open-mmlab/mmdetection/tree/3.x/projects/Detic) 的推理 +- 重构了 [DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/detr) 系列并支持了 [Conditional-DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/conditional_detr), [DAB-DETR](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/dab_detr) 和 [DINO](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/dino) +- 支持了 DetInferencer, Test Time Augmentation 以及从注册表 (registry) 自动导入模块 +- 支持了 RTMDet-Ins 的 ONNXRuntime 和 TensorRT [部署](https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet/README.md#deployment-tutorial) +- 支持了检测器[计算 FLOPS](https://github.com/open-mmlab/mmdetection/tree/3.x/docs/zh_cn/user_guides/useful_tools.md#模型复杂度) ## 安装 diff --git a/docker/serve/Dockerfile b/docker/serve/Dockerfile index 374d8416e1e..c53613ca3cf 100644 --- 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="1.3.17" -ARG MMDET="2.28.1" +ARG MMDET="2.28.2" ENV PYTHONUNBUFFERED TRUE diff --git a/docs/en/changelog.md b/docs/en/changelog.md index e08fca3eb49..473aec3c79f 100644 --- a/docs/en/changelog.md +++ b/docs/en/changelog.md @@ -1,5 +1,23 @@ ## Changelog +### v2.28.2 (24/2/2023) + +#### New Features and Improvements + +- Add Twitter, Discord, Medium and YouTube link (#9774) +- Update `customize_runtime.md` (#9797) + +#### Bug Fixes + +- Fix `WIDERFace SSD` loss for Nan problem (#9734) +- Fix missing API documentation in Readthedoc (#9729) +- Fix the configuration file and log path of CenterNet (#9791) + +#### Contributors + +A total of 4 developers contributed to this release. +Thanks @co63oc, @Ginray, @vansin, @RangiLyu + ### v2.28.1 (1/2/2023) #### Bug Fixes diff --git a/docs/en/faq.md b/docs/en/faq.md index b36d2c1a65f..b8afefc7a0e 100644 --- a/docs/en/faq.md +++ b/docs/en/faq.md @@ -11,6 +11,7 @@ We list some common troubles faced by many users and their corresponding solutio | MMDetection version | MMCV version | | :-----------------: | :------------------------: | | master | mmcv-full>=1.3.17, \<1.8.0 | +| 2.28.2 | mmcv-full>=1.3.17, \<1.8.0 | | 2.28.1 | mmcv-full>=1.3.17, \<1.8.0 | | 2.28.0 | mmcv-full>=1.3.17, \<1.8.0 | | 2.27.0 | mmcv-full>=1.3.17, \<1.8.0 | diff --git a/docs/zh_cn/get_started.md b/docs/zh_cn/get_started.md index d4e49409cb3..40d123a2002 100644 --- a/docs/zh_cn/get_started.md +++ b/docs/zh_cn/get_started.md @@ -12,6 +12,7 @@ MMDetection 和 MMCV 版本兼容性如下所示，需要安装正确的 MMCV | MMDetection 版本 | MMCV 版本 | | :--------------: | :------------------------: | | master | mmcv-full>=1.3.17, \<1.8.0 | +| 2.28.2 | mmcv-full>=1.3.17, \<1.8.0 | | 2.28.1 | mmcv-full>=1.3.17, \<1.8.0 | | 2.28.0 | mmcv-full>=1.3.17, \<1.8.0 | | 2.27.0 | mmcv-full>=1.3.17, \<1.8.0 | diff --git a/mmdet/version.py b/mmdet/version.py index 31cdc95e9c3..fecd645024d 100644 --- a/mmdet/version.py +++ b/mmdet/version.py @@ -1,6 +1,6 @@ # Copyright (c) OpenMMLab. All rights reserved. -__version__ = '2.28.1' +__version__ = '2.28.2' short_version = __version__