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28 lines
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28 lines
1.3 KiB
Markdown
English | [简体中文](README_CN.md)
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# RKYOLO Ready-to-deploy Model
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RKYOLO models are encapsulated with reference to the code of [rknn_model_zoo](https://github.com/airockchip/rknn_model_zoo/tree/main/models/CV/object_detection/yolo). Now we support the deployment of RKYOLOV5 models.
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## List of Supported Models
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FastDeploy currently supports the deployment of the following three models:
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- RKYOLOV5
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- RKYOLOX
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- RKYOLOv7
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For people’s testing, we provide three converted models that allow downloading and use. If you need to convert models, refer to [RKNN_model_convert](https://github.com/airockchip/rknn_model_zoo/tree/main/models/CV/object_detection/yolo/RKNN_model_convert).
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| Model Name | Download Address |
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| ------------------ | ------------------------------------------------------------ |
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| yolov5-s-relu-int8 | https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolov5-s-relu.zip |
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| yolov7-tiny-int8 | https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolov7-tiny.zip |
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| yolox-s-int8 | https://bj.bcebos.com/paddlehub/fastdeploy/rknpu2/yolox-s.zip |
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## Other Links
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- [Cpp deployment](./cpp)
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- [Python deployment](./python)
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- [Vision model predicting results](../../../../docs/api/vision_results/)
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