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FastDeploy/examples/vision/detection/yolov6
yeliang2258 1911002b90 [Backend]Add stable_diffusion and detection models support for KunlunXin XPU (#954)
* [FlyCV] Bump up FlyCV -> official release 1.0.0

* add valid_xpu for detection

* add paddledetection model support for xpu

* support all detection model in c++ and python

* fix code

* add python stable_diffusion support

Co-authored-by: DefTruth <qiustudent_r@163.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2022-12-26 16:22:52 +08:00
..
2022-08-15 20:25:03 +08:00

YOLOv6准备部署模型

下载预训练ONNX模型

为了方便开发者的测试下面提供了YOLOv6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
YOLOv6s 66MB 43.1%
YOLOv6s_640 66MB 43.1%
YOLOv6t 58MB 41.3%
YOLOv6n 17MB 35.0%

详细部署文档

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