Files
FastDeploy/examples/vision/detection/yolov5
Yi-sir 9e20dab0d6 [Example] Merge Download Paddle Model, Paddle->ONNX->MLIR->BModel (#1643)
* fix infer.py and README

* [Example] Merge Download Paddle Model, Paddle->Onnx->Mlir->Bmodel and
inference into infer.py. Modify README.md

* modify pp_liteseg sophgo infer.py and README.md

* fix PPOCR,PPYOLOE,PICODET,LITESEG sophgo infer.py and README.md

* fix memory overflow problem while inferring with sophgo backend

* fix memory overflow problem while inferring with sophgo backend

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Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: xuyizhou <yizhou.xu@sophgo.com>
2023-03-31 15:08:01 +08:00
..
2023-01-16 11:24:23 +08:00

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YOLOv5 Ready-to-deploy Model

Download Pre-trained ONNX Model

For developers' testing, models exported by YOLOv5 are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository)

Model Size Accuracy Note
YOLOv5n 7.6MB 28.0% This model file is sourced from YOLOv5GPL-3.0 License
YOLOv5s 28MB 37.4% This model file is sourced from YOLOv5GPL-3.0 License
YOLOv5m 82MB 45.4% This model file is sourced from YOLOv5GPL-3.0 License
YOLOv5l 178MB 49.0% This model file is sourced from YOLOv5GPL-3.0 License
YOLOv5x 332MB 50.7% This model file is sourced from YOLOv5GPL-3.0 License

Detailed Deployment Documents

Release Note