From ea5f3c72ba967c987b410360b7fe6e543f470adb Mon Sep 17 00:00:00 2001 From: vigo999 Date: Wed, 19 Jun 2024 00:23:56 +0800 Subject: [PATCH 1/2] modify 0.4 readme of supported ms version --- README.md | 22 +++++++------ README_CN.md | 92 ---------------------------------------------------- 2 files changed, 12 insertions(+), 102 deletions(-) delete mode 100644 README_CN.md diff --git a/README.md b/README.md index 7da89635..fdc85d84 100644 --- a/README.md +++ b/README.md @@ -12,9 +12,17 @@

-MindYOLO is [MindSpore Lab](https://github.com/mindspore-lab)'s software toolbox that implements state-of-the-art YOLO series algorithms, [support list and benchmark](MODEL_ZOO.md). It is written in Python and powered by the [MindSpore](https://mindspore.cn/) AI framework. - -The master branch supporting **MindSpore 2.0/2.1**. +MindYOLO implements state-of-the-art YOLO series algorithms based on MindSpore. + +The following is the corresponding `mindyolo` versions and supported +mindspore versions. +| `mindspore` | `mindyolo` | `tested hardware` +| :--:| :--:| :-- | +| `master` | `master`| `ascend 910*`| +| `2.3.0` | `0.4` | `ascend 910*`| +| `2.2.10` | `0.3` | `ascend 910*`| +| `2.0` | `0.2` | `ascend 910*`| +| `1.8` | `0.1` |`ascend 910*`| @@ -54,13 +62,6 @@ See [INSTALLATION](docs/en/installation.md) for details. See [GETTING STARTED](GETTING_STARTED.md) for details. -## Learn More about MindYOLO - -To be supplemented. - -## Notes - -⚠️ The current version is based on the [static shape of GRAPH](https://mindspore.cn/docs/en/r2.0/note/static_graph_syntax_support.html). The dynamic shape of the PYNATIVE will be supported later. Please look forward to it. ### How to Contribute @@ -88,3 +89,4 @@ If you find this project useful in your research, please consider cite: year={2023} } ``` + diff --git a/README_CN.md b/README_CN.md deleted file mode 100644 index da0d2729..00000000 --- a/README_CN.md +++ /dev/null @@ -1,92 +0,0 @@ -# MindYOLO - -

- - docs - - - GitHub - - - PRs Welcome - -

- -MindYOLO是[MindSpore Lab](https://github.com/mindspore-lab)开发的AI套件，实现了最先进的YOLO系列算法，[查看支持的模型算法](MODEL_ZOO.md)。 - -MindYOLO使用Python语言编写，基于 [MindSpore](https://mindspore.cn/) AI框架开发。 - -master 分支配套 **MindSpore 2.0**。 - - - - -## 新特性 - -- 2023/06/15 - -1. 支持 YOLOv3/v4/v5/v7/v8/X 等6个模型，发布了23个模型weights，详情请参考 [MODEL ZOO](MODEL_ZOO.md)。 -2. 配套 MindSpore 2.0。 -3. 支持 MindSpore lite 2.0 推理。 -4. 新的教程文档上线！ - -## 基准和模型仓库 - -查看 [MODEL ZOO](MODEL_ZOO.md). - -
-支持的算法 - -- [x] [YOLOv8](configs/yolov8) -- [x] [YOLOv7](configs/yolov7) -- [x] [YOLOX](configs/yolox) -- [x] [YOLOv5](configs/yolov5) -- [x] [YOLOv4](configs/yolov4) -- [x] [YOLOv3](configs/yolov3) - -
- -## 安装 - -查看 [INSTALLATION](docs/zh/installation.md) - -## 快速入门 - -查看 [GETTING STARTED](GETTING_STARTED_CN.md) - -## 了解 MindYOLO 的更多信息 - -敬请期待 - -## 注意 - -⚠️当前版本基于GRAPH的[静态Shape]((https://mindspore.cn/docs/en/r2.0/note/static_graph_syntax_support.html))。后续将添加PYNATIVE的动态Shape支持，敬请期待。 - -### 贡献方式 - -我们感谢开发者用户的所有贡献，包括提issue和PR，一起让MindYOLO变得更好。 - -贡献指南请参考[CONTRIBUTING.md](CONTRIBUTING.md)。 - - -### 许可证 - -MindYOLO遵循[Apache License 2.0](LICENSE.md)开源协议。 - - -### 致谢 - -MindYOLO是一个欢迎任何贡献和反馈的开源项目。我们希望通过提供灵活且标准化的工具包来重新实现现有方法和开发新的实时目标检测方法，从而为不断发展的研究社区服务。 - -### 引用 - -如果你觉得MindYOLO对你的项目有帮助，请考虑引用： - -```latex -@misc{MindSpore Object Detection YOLO 2023, - title={{MindSpore Object Detection YOLO}:MindSpore Object Detection YOLO Toolbox and Benchmark}, - author={MindSpore YOLO Contributors}, - howpublished = {\url{https://github.com/mindspore-lab/mindyolo}}, - year={2023} -} -``` From c58b8c961cef6e59035f1e10e7ffb2272ba61a27 Mon Sep 17 00:00:00 2001 From: vigo999 <41234155+vigo999@users.noreply.github.com> Date: Wed, 19 Jun 2024 00:47:33 +0800 Subject: [PATCH 2/2] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index fdc85d84..f350278a 100644 --- a/README.md +++ b/README.md @@ -21,8 +21,8 @@ mindspore versions. | `master` | `master`| `ascend 910*`| | `2.3.0` | `0.4` | `ascend 910*`| | `2.2.10` | `0.3` | `ascend 910*`| -| `2.0` | `0.2` | `ascend 910*`| -| `1.8` | `0.1` |`ascend 910*`| +| `2.0` | `0.2` | `ascend 910`| +| `1.8` | `0.1` |`ascend 910`|