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			49 lines
		
	
	
		
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| [English](README.md) | 简体中文
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| # YOLOv7准备部署模型
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| 
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| - YOLOv7部署实现来自[YOLOv7](https://github.com/WongKinYiu/yolov7/tree/v0.1)分支代码,和[基于COCO的预训练模型](https://github.com/WongKinYiu/yolov7/releases/tag/v0.1)。
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| 
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|   - (1)[官方库](https://github.com/WongKinYiu/yolov7/releases/tag/v0.1)提供的*.pt通过[导出ONNX模型](#导出ONNX模型)操作后,可进行部署;*.trt和*.pose模型不支持部署;
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|   - (2)自己数据训练的YOLOv7模型,按照[导出ONNX模型](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B)操作后,参考[详细部署文档](#详细部署文档)完成部署。
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| 
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| 
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| 
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| 
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| ## 导出ONNX模型
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| 
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| ```bash
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| # 下载yolov7模型文件
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| wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt
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| 
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| # 导出onnx格式文件 (Tips: 对应 YOLOv7 release v0.1 代码)
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| python models/export.py --grid --dynamic --weights PATH/TO/yolov7.pt
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| 
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| # 如果您的代码版本中有支持NMS的ONNX文件导出,请使用如下命令导出ONNX文件,并且参考`yolov7end2end_ort` 或 `yolov7end2end_trt`示例使用
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| python models/export.py --grid --dynamic --end2end --weights PATH/TO/yolov7.pt
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| 
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| 
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| ```
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| 
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| ## 下载预训练ONNX模型
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| 
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| 为了方便开发者的测试,下面提供了YOLOv7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)
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| | 模型                                                               | 大小    | 精度    | 备注 |
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| |:---------------------------------------------------------------- |:----- |:----- | :----- |
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| | [YOLOv7](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7.onnx) | 141MB | 51.4% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| | [YOLOv7x](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7x.onnx) | 273MB | 53.1% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| | [YOLOv7-w6](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-w6.onnx) | 269MB | 54.9% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| | [YOLOv7-e6](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-e6.onnx) | 372MB | 56.0% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| | [YOLOv7-d6](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-d6.onnx) | 511MB | 56.6% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| | [YOLOv7-e6e](https://bj.bcebos.com/paddlehub/fastdeploy/yolov7-e6e.onnx) | 579MB | 56.8% | 此模型文件来源于[YOLOv7](https://github.com/WongKinYiu/yolov7),GPL-3.0 License |
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| 
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| 
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| ## 详细部署文档
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| 
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| - [Python部署](python)
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| - [C++部署](cpp)
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| 
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| 
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| ## 版本说明
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| 
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| - 本版本文档和代码基于[YOLOv7 0.1](https://github.com/WongKinYiu/yolov7/tree/v0.1) 编写
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