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30 lines
1.8 KiB
Markdown
30 lines
1.8 KiB
Markdown
English | [简体中文](README_CN.md)
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# YOLOv5Cls Ready-to-deploy Model
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- YOLOv5Cls v6.2 model deployment is based on [YOLOv5](https://github.com/ultralytics/yolov5/tree/v6.2) and [Pre-trained Models on ImageNet](https://github.com/ultralytics/yolov5/releases/tag/v6.2).
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- （1）The *-cls.pt model provided by [Official Repository](https://github.com/ultralytics/yolov5/releases/tag/v6.2) can export the ONNX file using `export.py` in [YOLOv5](https://github.com/ultralytics/yolov5), then deployment can be conducted;
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- （2）The YOLOv5Cls v6.2 Model trained by personal data should export the ONNX file using `export.py` in [YOLOv5](https://github.com/ultralytics/yolov5).
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## Download Pre-trained ONNX Model
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For developers' testing, models exported by YOLOv5Cls are provided below. Developers can download them directly. (The model accuracy in the following table is derived from the source official repository)
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| Model | Size | Accuracy(top1) | Accuracy(top5) |
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|:---------------------------------------------------------------- |:----- |:----- |:----- |
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| [YOLOv5n-cls](https://bj.bcebos.com/paddlehub/fastdeploy/yolov5n-cls.onnx) | 9.6MB | 64.6% | 85.4% |
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| [YOLOv5s-cls](https://bj.bcebos.com/paddlehub/fastdeploy/yolov5s-cls.onnx) | 21MB | 71.5% | 90.2% |
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| [YOLOv5m-cls](https://bj.bcebos.com/paddlehub/fastdeploy/yolov5m-cls.onnx) | 50MB | 75.9% | 92.9% |
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| [YOLOv5l-cls](https://bj.bcebos.com/paddlehub/fastdeploy/yolov5l-cls.onnx) | 102MB | 78.0% | 94.0% |
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| [YOLOv5x-cls](https://bj.bcebos.com/paddlehub/fastdeploy/yolov5x-cls.onnx) | 184MB | 79.0% | 94.4% |
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## Detailed Deployment Documents
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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## Release Note
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- Document and code are based on [YOLOv5 v6.2](https://github.com/ultralytics/yolov5/tree/v6.2).
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