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examples/vision/detection/rkyolo/python/README.md
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@@ -3,7 +3,7 @@ English | [简体中文](README_CN.md)
Two steps before deployment
- 1. Software and hardware should meet the requirements. Refer to [FastDeploy Environment Requirements](../../../../../../docs/cn/build_and_install/rknpu2.md)
- 1. Software and hardware should meet the requirements. Refer to [FastDeploy Environment Requirements](../../../../../docs/cn/build_and_install/rknpu2.md)
This directory provides examples that `infer.py` fast finishes the deployment of Picodet on RKNPU. The script is as follows
@@ -31,5 +31,5 @@ The model needs to be in NHWC format on RKNPU. The normalized image will be embe
- [PaddleDetection Model Description](..)
- [PaddleDetection C++ Deployment](../cpp)
- [model prediction Results](../../../../../../docs/api/vision_results/)
- [model prediction Results](../../../../../docs/api/vision_results/)
- [Convert PaddleDetection RKNN Model Files](../README.md)

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examples/vision/detection/rkyolo/python/README_CN.md
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在部署前，需确认以下两个步骤
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../../docs/cn/build_and_install/rknpu2.md)
- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/rknpu2.md)
本目录下提供`infer.py`快速完成Picodet在RKNPU上部署的示例。执行如下脚本即可完成
@@ -31,5 +31,5 @@ RKNPU上对模型的输入要求是使用NHWC格式，且图片归一化操作
- [PaddleDetection 模型介绍](..)
- [PaddleDetection C++部署](../cpp)
- [模型预测结果说明](../../../../../../docs/api/vision_results/)
- [模型预测结果说明](../../../../../docs/api/vision_results/)
- [转换PaddleDetection RKNN模型文档](../README.md)