From fa86dd2284a127fe279c746819aced29fdfd95bb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Haian=20Huang=28=E6=B7=B1=E5=BA=A6=E7=9C=B8=29?= <1286304229@qq.com> Date: Tue, 15 Aug 2023 12:06:30 +0800 Subject: [PATCH] add changelog (#851) --- README.md | 20 +++++------ README_zh-CN.md | 20 +++++------ docker/Dockerfile | 2 +- docker/Dockerfile_deployment | 2 +- docs/en/get_started/installation.md | 2 +- docs/en/notes/changelog.md | 38 +++++++++++++++++++++ docs/en/tutorials/custom_installation.md | 2 +- docs/zh_cn/get_started/installation.md | 2 +- docs/zh_cn/notes/changelog.md | 38 +++++++++++++++++++++ docs/zh_cn/tutorials/custom_installation.md | 2 +- mmyolo/__init__.py | 2 +- 11 files changed, 99 insertions(+), 31 deletions(-) diff --git a/README.md b/README.md index c70ec82e6..b799a759c 100644 --- a/README.md +++ b/README.md @@ -77,17 +77,13 @@ English | [简体中文](README_zh-CN.md) ## 🥳 🚀 What's New [🔝](#-table-of-contents) -💎 **v0.5.0** was released on 2/3/2023: - -1. Support [RTMDet-R](https://github.com/open-mmlab/mmyolo/blob/dev/configs/rtmdet/README.md#rotated-object-detection) rotated object detection -2. Support for using mask annotation to improve [YOLOv8](https://github.com/open-mmlab/mmyolo/blob/dev/configs/yolov8/README.md) object detection performance -3. Support [MMRazor](https://github.com/open-mmlab/mmyolo/blob/dev/configs/razor/subnets/README.md) searchable NAS sub-network as the backbone of YOLO series algorithm -4. Support calling [MMRazor](https://github.com/open-mmlab/mmyolo/blob/dev/configs/rtmdet/distillation/README.md) to distill the knowledge of RTMDet -5. [MMYOLO](https://mmyolo.readthedocs.io/zh_CN/dev/) document structure optimization, comprehensive content upgrade -6. Improve YOLOX mAP and training speed based on RTMDet training hyperparameters -7. Support calculation of model parameters and FLOPs, provide GPU latency data on T4 devices, and update [Model Zoo](https://github.com/open-mmlab/mmyolo/blob/dev/docs/en/model_zoo.md) -8. Support test-time augmentation (TTA) -9. Support RTMDet, YOLOv8 and YOLOv7 assigner visualization +💎 **v0.6.0** was released on 15/8/2023: + +- Support YOLOv5 instance segmentation +- Support YOLOX-Pose based on MMPose +- Add 15 minutes instance segmentation tutorial. +- YOLOv5 supports using mask annotation to optimize bbox +- Add Multi-scale training and testing docs For release history and update details, please refer to [changelog](https://mmyolo.readthedocs.io/en/latest/notes/changelog.html). @@ -150,7 +146,7 @@ conda activate mmyolo pip install openmim mim install "mmengine>=0.6.0" mim install "mmcv>=2.0.0rc4,<2.1.0" -mim install "mmdet>=3.0.0rc6,<3.1.0" +mim install "mmdet>=3.0.0,<4.0.0" git clone https://github.com/open-mmlab/mmyolo.git cd mmyolo # Install albumentations diff --git a/README_zh-CN.md b/README_zh-CN.md index 18c75c8c7..6eb4d95fe 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -78,17 +78,13 @@ ## 🥳 🚀 最新进展 [🔝](#-table-of-contents) -💎 **v0.5.0** 版本已经在 2023.3.2 发布： - -1. 支持了 [RTMDet-R](https://github.com/open-mmlab/mmyolo/blob/dev/configs/rtmdet/README.md#rotated-object-detection) 旋转框目标检测任务和算法 -2. [YOLOv8](https://github.com/open-mmlab/mmyolo/blob/dev/configs/yolov8/README.md) 支持使用 mask 标注提升目标检测模型性能 -3. 支持 [MMRazor](https://github.com/open-mmlab/mmyolo/blob/dev/configs/razor/subnets/README.md) 搜索的 NAS 子网络作为 YOLO 系列算法的 backbone -4. 支持调用 [MMRazor](https://github.com/open-mmlab/mmyolo/blob/dev/configs/rtmdet/distillation/README.md) 对 RTMDet 进行知识蒸馏 -5. [MMYOLO](https://mmyolo.readthedocs.io/zh_CN/dev/) 文档结构优化，内容全面升级 -6. 基于 RTMDet 训练超参提升 YOLOX 精度和训练速度 -7. 支持模型参数量、FLOPs 计算和提供 T4 设备上 GPU 延时数据，并更新了 [Model Zoo](https://github.com/open-mmlab/mmyolo/blob/dev/docs/zh_cn/model_zoo.md) -8. 支持测试时增强 TTA -9. 支持 RTMDet、YOLOv8 和 YOLOv7 assigner 可视化 +💎 **v0.6.0** 版本已经在 2023.8.15 发布： + +- 支持 YOLOv5 实例分割 +- 基于 MMPose 支持 YOLOX-Pose +- 添加 15 分钟的实例分割教程 +- YOLOv5 支持使用 mask 标注来优化边界框 +- 添加多尺度训练和测试文档 我们提供了实用的**脚本命令速查表** @@ -171,7 +167,7 @@ conda activate mmyolo pip install openmim mim install "mmengine>=0.6.0" mim install "mmcv>=2.0.0rc4,<2.1.0" -mim install "mmdet>=3.0.0rc6,<3.1.0" +mim install "mmdet>=3.0.0,<4.0.0" git clone https://github.com/open-mmlab/mmyolo.git cd mmyolo # Install albumentations diff --git a/docker/Dockerfile b/docker/Dockerfile index 65689dd56..fc65431a2 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -26,7 +26,7 @@ RUN apt-get update \ # Install MMEngine , MMCV and MMDet RUN pip install --no-cache-dir openmim && \ - mim install --no-cache-dir "mmengine>=0.6.0" "mmcv>=2.0.0rc4,<2.1.0" "mmdet>=3.0.0rc6,<3.1.0" + mim install --no-cache-dir "mmengine>=0.6.0" "mmcv>=2.0.0rc4,<2.1.0" "mmdet>=3.0.0,<4.0.0" # Install MMYOLO RUN git clone https://github.com/open-mmlab/mmyolo.git /mmyolo && \ diff --git a/docker/Dockerfile_deployment b/docker/Dockerfile_deployment index 1a0a226a8..8ea1e380b 100644 --- a/docker/Dockerfile_deployment +++ b/docker/Dockerfile_deployment @@ -30,7 +30,7 @@ RUN wget -q https://github.com/microsoft/onnxruntime/releases/download/v${ONNXRU # Install OPENMIM MMENGINE MMDET RUN pip install --no-cache-dir openmim \ - && mim install --no-cache-dir "mmengine>=0.6.0" "mmdet>=3.0.0rc6,<3.1.0" \ + && mim install --no-cache-dir "mmengine>=0.6.0" "mmdet>=3.0.0,<4.0.0" \ && mim install --no-cache-dir opencv-python==4.5.5.64 opencv-python-headless==4.5.5.64 RUN git clone https://github.com/open-mmlab/mmcv.git -b 2.x mmcv \ diff --git a/docs/en/get_started/installation.md b/docs/en/get_started/installation.md index 0ee0b8c77..3259acfbb 100644 --- a/docs/en/get_started/installation.md +++ b/docs/en/get_started/installation.md @@ -8,7 +8,7 @@ pip install -U openmim mim install "mmengine>=0.6.0" mim install "mmcv>=2.0.0rc4,<2.1.0" -mim install "mmdet>=3.0.0rc6,<3.1.0" +mim install "mmdet>=3.0.0,<4.0.0" ``` If you are currently in the mmyolo project directory, you can use the following simplified commands diff --git a/docs/en/notes/changelog.md b/docs/en/notes/changelog.md index 310b930b0..fa3e1a776 100644 --- a/docs/en/notes/changelog.md +++ b/docs/en/notes/changelog.md @@ -1,5 +1,43 @@ # Changelog +## v0.6.0 (15/8/2023) + +### Highlights + +- Support YOLOv5 instance segmentation +- Support YOLOX-Pose based on MMPose +- Add 15 minutes instance segmentation tutorial. +- YOLOv5 supports using mask annotation to optimize bbox +- Add Multi-scale training and testing docs + +### New Features + +- Add training and testing tricks doc (#659) +- Support setting the cache_size_limit parameter and support mmdet 3.0.0 (#707) +- Support YOLOv5u and YOLOv6 3.0 inference (#624, #744) +- Support model-only inference (#733) +- Add YOLOv8 deepstream config (#633) +- Add ionogram example in MMYOLO application (#643) + +### Bug Fixes + +- Fix the browse_dataset for visualization of test and val (#641) +- Fix installation doc error (#662) +- Fix yolox-l ckpt link (#677) +- Fix typos in the YOLOv7 and YOLOv8 diagram (#621, #710) +- Adjust the order of package imports in `boxam_vis_demo.py` (#655) + +### Improvements + +- Optimize the `convert_kd_ckpt_to_student.py` file (#647) +- Add en doc of `FAQ` and `training_testing_tricks` (#691,#693) + +### Contributors + +A total of 21 developers contributed to this release. + +Thank @Lum1104,@azure-wings,@FeiGeChuanShu,@Lingrui Gu,@Nioolek,@huayuan4396,@RangeKing,@danielhonies,@yechenzhi,@JosonChan1998,@kitecats,@Qingrenn,@triple-Mu,@kikefdezl,@zhangrui-wolf,@xin-li-67,@Ben-Louis,@zgzhengSEU,@VoyagerXvoyagerx,@tang576225574,@hhaAndroid + ## v0.5.0 (2/3/2023) ### Highlights diff --git a/docs/en/tutorials/custom_installation.md b/docs/en/tutorials/custom_installation.md index 327de64ec..604a77a30 100644 --- a/docs/en/tutorials/custom_installation.md +++ b/docs/en/tutorials/custom_installation.md @@ -75,7 +75,7 @@ thus we only need to install MMEngine, MMCV, MMDetection, and MMYOLO with the fo !pip3 install openmim !mim install "mmengine>=0.6.0" !mim install "mmcv>=2.0.0rc4,<2.1.0" -!mim install "mmdet>=3.0.0rc6,<3.1.0" +!mim install "mmdet>=3.0.0,<4.0.0" ``` **Step 2.** Install MMYOLO from the source. diff --git a/docs/zh_cn/get_started/installation.md b/docs/zh_cn/get_started/installation.md index 32927b6e6..be77bccc9 100644 --- a/docs/zh_cn/get_started/installation.md +++ b/docs/zh_cn/get_started/installation.md @@ -8,7 +8,7 @@ pip install -U openmim mim install "mmengine>=0.6.0" mim install "mmcv>=2.0.0rc4,<2.1.0" -mim install "mmdet>=3.0.0rc6,<3.1.0" +mim install "mmdet>=3.0.0,<4.0.0" ``` 如果你当前已经处于 mmyolo 工程目录下，则可以采用如下简化写法 diff --git a/docs/zh_cn/notes/changelog.md b/docs/zh_cn/notes/changelog.md index bd5110713..90fef5958 100644 --- a/docs/zh_cn/notes/changelog.md +++ b/docs/zh_cn/notes/changelog.md @@ -1,5 +1,43 @@ # 更新日志 +## v0.6.0 (15/8/2023) + +### 亮点 + +- 支持 YOLOv5 实例分割 +- 基于 MMPose 支持 YOLOX-Pose +- 添加 15 分钟的实例分割教程 +- YOLOv5 支持使用 mask 标注来优化边界框 +- 添加多尺度训练和测试文档 + +### 新特性 + +- 添加训练和测试技巧文档 (#659) +- 支持设置 `cache_size_limit` 参数，并支持 mmdet 3.0.0 (#707) +- 支持 YOLOv5u 和 YOLOv6 3.0 推理 (#624, #744) +- 支持仅模型推断 (#733) +- 添加 YOLOv8 deepstream 配置 (#633) +- 在 MMYOLO 应用程序中添加电离图示例 (#643) + +### Bug 修复 + +- 修复 browse_dataset 以可视化测试和验证集的问题 (#641) +- 修复安装文档错误 (#662) +- 修复 yolox-l ckpt 链接 (#677) +- 修正 YOLOv7 和 YOLOv8 图表中的拼写错误 (#621, #710) +- 调整 `boxam_vis_demo.py` 中包导入的顺序 (#655) + +### 完善 + +- 优化 `convert_kd_ckpt_to_student.py` 文件 (#647) +- 添加 FAQ 和 training_testing_tricks 的英文文档 (#691, #693) + +### 贡献者 + +总共 21 位开发者参与了本次版本 + +感谢 @Lum1104,@azure-wings,@FeiGeChuanShu,@Lingrui Gu,@Nioolek,@huayuan4396,@RangeKing,@danielhonies,@yechenzhi,@JosonChan1998,@kitecats,@Qingrenn,@triple-Mu,@kikefdezl,@zhangrui-wolf,@xin-li-67,@Ben-Louis,@zgzhengSEU,@VoyagerXvoyagerx,@tang576225574,@hhaAndroid + ## v0.5.0 (2/3/2023) ### 亮点 diff --git a/docs/zh_cn/tutorials/custom_installation.md b/docs/zh_cn/tutorials/custom_installation.md index cdec9ed35..d20d659f6 100644 --- a/docs/zh_cn/tutorials/custom_installation.md +++ b/docs/zh_cn/tutorials/custom_installation.md @@ -77,7 +77,7 @@ pip install "mmcv>=2.0.0rc4" -f https://download.openmmlab.com/mmcv/dist/cu116/t !pip3 install openmim !mim install "mmengine>=0.6.0" !mim install "mmcv>=2.0.0rc4,<2.1.0" -!mim install "mmdet>=3.0.0rc6,<3.1.0" +!mim install "mmdet>=3.0.0,<4.0.0" ``` **步骤 2.** 使用源码安装 MMYOLO： diff --git a/mmyolo/__init__.py b/mmyolo/__init__.py index 4d7bed6bd..6a0bd5d30 100644 --- a/mmyolo/__init__.py +++ b/mmyolo/__init__.py @@ -15,7 +15,7 @@ mmengine_version = digit_version(mmengine.__version__) mmdet_minimum_version = '3.0.0' -mmdet_maximum_version = '3.1.0' +mmdet_maximum_version = '4.0.0' mmdet_version = digit_version(mmdet.__version__)