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29 lines
2.1 KiB
Markdown
Executable File
29 lines
2.1 KiB
Markdown
Executable File
English | [简体中文](README_CN.md)
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# YOLOv8 Ready-to-deploy Model
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- The deployment of the YOLOv8 model is based on [YOLOv8](https://github.com/ultralytics/ultralytics) and [Pre-trained Model Based on COCO](https://github.com/ultralytics/ultralytics)
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- （1）The *.onnx provided by [Official Repository](https://github.com/ultralytics/ultralytics) can be deployed directly；
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- （2）The YOLOv8 model trained by personal data should employ `export.py` in [YOLOv8](https://github.com/ultralytics/ultralytics) to export the ONNX files for deployment.
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## Download Pre-trained ONNX Model
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For developers' testing, models exported by YOLOv8 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 | Note |
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|:---------------------------------------------------------------- |:----- |:----- |:---- |
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| [YOLOv8n](https://bj.bcebos.com/paddlehub/fastdeploy/yolov8n.onnx) | 12.1MB | 37.3% | This model file is sourced from [YOLOv8](https://github.com/ultralytics/ultralytics)，GPL-3.0 License |
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| [YOLOv8s](https://bj.bcebos.com/paddlehub/fastdeploy/yolov8s.onnx) | 42.6MB | 44.9% | This model file is sourced from [YOLOv8](https://github.com/ultralytics/ultralytics)，GPL-3.0 License |
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| [YOLOv8m](https://bj.bcebos.com/paddlehub/fastdeploy/yolov8m.onnx) | 98.8MB | 50.2% | This model file is sourced from [YOLOv8](https://github.com/ultralytics/ultralytics)，GPL-3.0 License |
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| [YOLOv8l](https://bj.bcebos.com/paddlehub/fastdeploy/yolov8l.onnx) | 166.7MB | 52.9% | This model file is sourced from [YOLOv8](https://github.com/ultralytics/ultralytics)，GPL-3.0 License |
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| [YOLOv8x](https://bj.bcebos.com/paddlehub/fastdeploy/yolov8x.onnx) | 260.3MB | 53.9% | This model file is sourced from [YOLOv8](https://github.com/ultralytics/ultralytics)，GPL-3.0 License |
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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 [YOLOv8](https://github.com/ultralytics/ultralytics)
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