Files
FastDeploy/examples/vision/detection/yolov6
WJJ1995 c6d943b7f0 [Doc] Fixed quantize.md (#795)
* add onnx_ort_runtime demo

* rm in requirements

* support batch eval

* fixed MattingResults bug

* move assignment for DetectionResult

* integrated x2paddle

* add model convert readme

* update readme

* re-lint

* add processor api

* Add MattingResult Free

* change valid_cpu_backends order

* add ppocr benchmark

* mv bs from 64 to 32

* fixed quantize.md

* fixed quantize bugs

Co-authored-by: Jason <jiangjiajun@baidu.com>
2022-12-05 16:38:48 +08:00
..
2022-12-05 16:38:48 +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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