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			35 lines
		
	
	
		
			1.6 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| English | [简体中文](README_CN.md)
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| # YOLOX Ready-to-deploy Model
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| 
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| 
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| - The YOLOX deployment is based on [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX/tree/0.1.1rc0) and [coco's pre-trained models](https://github.com/Megvii-BaseDetection/YOLOX/releases/tag/0.1.1rc0).
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| 
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|   - (1)The *.pth provided by [Official Repository](https://github.com/Megvii-BaseDetection/YOLOX/releases/tag/0.1.1rc0) should export the ONNX model to complete the deployment;
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|   - (2)The YOLOX model trained by personal data should export the ONNX model. Refer to [Detailed Deployment Documents](#Detailed-Deployment-Documents)  to complete the deployment.
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| 
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| ## Download Pre-trained ONNX Models
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| 
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| 
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| For developers' testing, models exported by YOLOX are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository)
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| | Model                                                               | Size    | Accuracy    |
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| |:---------------------------------------------------------------- |:----- |:----- |
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| | [YOLOX-s](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_s.onnx) | 35MB | 39.6% |
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| | [YOLOX-m](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_m.onnx) | 97MB | 46.4.5% |
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| | [YOLOX-l](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_l.onnx) | 207MB | 50.0% |
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| | [YOLOX-x](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_x.onnx) | 378MB | 51.2% |
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| 
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| ## Detailed Deployment Documents
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| 
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| - [Python Deployment](python)
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| - [C++ Deployment](cpp)
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| 
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| 
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| ## Release Note
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| - Document and code are based on [YOLOX v0.1.1 version](https://github.com/Megvii-BaseDetection/YOLOX/tree/0.1.1rc0) 
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