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FastDeploy/examples/vision/detection/yolov8/README_CN.md
WJJ1995 02bd22422e [Model] Support YOLOv8 (#1137) 
* add GPL lisence

* add GPL-3.0 lisence

* add GPL-3.0 lisence

* add GPL-3.0 lisence

* support yolov8

* add pybind for yolov8

* add yolov8 readme

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-01-16 11:24:23 +08:00

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YOLOv8准备部署模型

  • YOLOv8部署模型实现来自YOLOv8,和基于COCO的预训练模型
    • （1）官方库提供的*.onnx可直接进行部署；
    • （2）开发者基于自己数据训练的YOLOv8模型，可使用YOLOv8中的export.py导出ONNX文件后，完成部署。

下载预训练ONNX模型

为了方便开发者的测试，下面提供了YOLOv8导出的各系列模型，开发者可直接下载使用。（下表中模型的精度来源于源官方库）

模型 大小 精度 备注
YOLOv8n 12.1MB 37.3% This model file is sourced from YOLOv8，GPL-3.0 License
YOLOv8s 42.6MB 44.9% This model file is sourced from YOLOv8，GPL-3.0 License
YOLOv8m 98.8MB 50.2% This model file is sourced from YOLOv8，GPL-3.0 License
YOLOv8l 166.7MB 52.9% This model file is sourced from YOLOv8，GPL-3.0 License
YOLOv8x 260.3MB 53.9% This model file is sourced from YOLOv8，GPL-3.0 License

详细部署文档

版本说明

  • 本版本文档和代码基于YOLOv8 编写