66 66必读

开源推荐 evening

GitHub 热门项目：yolov9

2026-07-03 1 阅读约8分钟阅读 GitHub Trending

字号:

GitHub 项目：yolov9 仓库地址：https://github.com/WongKinYiu/yolov9 星级：9536 | 作者：王建耀项目描述：论文实现 - YOLOv9: Learning What You Want to Learn using Programmable Gradient Information =================================================== 自述文件内容： #YOLOv9 论文实现 - [YOLOv9: Learning What You Want to Learn using Programmable Gradient Information](https://arxiv.org/abs/2402.13616) [![arxiv.org](http://img.shields.io/badge/cs.CV-arXiv%3A2402.13616-B31B1B.svg)](https://arxiv.org/abs/2402.13616) [![拥抱脸部空间](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/kadirnar/Yolov9) [![拥抱面部空间](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/merve/yolov9) [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolov9-object-detection-on-custom-dataset.ipynb) [![OpenCV](https://img.shields.io/badge/OpenCV-BlogPost-black?logo=opencv&labelColor=blue&color=black)](https://learnopencv.com/yolov9-advancing-the-yolo-legacy/)

## 性能可可女士 |型号|测试尺寸| AP^val | AP₅₀^val | AP₇₅^val |参数。 |失败 | | :-- | :-: | :-: | :-: | :-: | :-: | :-: | | [**YOLOv9-T**](https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-t-converted.pt) | 640 | 640 **38.3%** | **53.1%** | **41.3%** | **2.0M** | **7.7G** | | [**YOLOv9-S**](https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-s-converted.pt) | 640 | 640 **46.8%** | **63.4%** | **50.7%** | **710 万** | **26.4G** | | [**YOLOv9-M**](https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-m-converted.pt) | 640 | 640 **51.4%** | **68.1%** | **56.1%** | **20.0M** | **76.3G** | | [**YOLOv9-C**](https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-c-converted.pt) | 640 | 640 **53.0%** | **70.2%** | **57.8%** | **25.3M** | **102.1G** | | [**YOLOv9-E**](https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-e-converted.pt) | 640 | 640 **55.6%** | **72.8%** | **60.6%** | **57.3M** | **189.0G** | ## 有用的链接 <详细信息><摘要> 展开定制培训：https://github.com/WongKinYiu/yolov9/issues/30#issuecomment-1960955297 ONNX 导出： https://github.com/WongKinYiu/yolov9/issues/2#issuecomment-1960519506 https://github.com/WongKinYiu/yolov9/issues/40#issue-2150697688 https://github.com/WongKinYiu/yolov9/issues/130#issue-2162045461 ONNX 导出用于分段：https://github.com/WongKinYiu/yolov9/issues/260#issue-2191162150 TensorRT 推理：https://github.com/WongKinYiu/yolov9/issues/143#issuecomment-1975049660 https://github.com/WongKinYiu/yolov9/issues/34#issue-2150393690 https://github.com/WongKinYiu/yolov9/issues/79#issue-2153547004 https:/

分享文章：

这篇文章对您有帮助吗？

订阅66必读

每日精选科技资讯，直达你的邮箱

← 返回开源推荐