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36 lines
1.3 KiB
Markdown
36 lines
1.3 KiB
Markdown
[English](README.md) | 简体中文
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# RKYOLO Python部署示例
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在部署前，需确认以下两个步骤
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- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/rknpu2.md)
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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
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```bash
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# 下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/examples/vision/detection/rkyolo/python
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# 下载图片
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# copy model
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cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python
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# 推理
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python3 infer.py --model_file ./model/ \
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--image 000000014439.jpg
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```
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## 注意事项
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RKNPU上对模型的输入要求是使用NHWC格式，且图片归一化操作会在转RKNN模型时，内嵌到模型中，因此我们在使用FastDeploy部署时，需要先调用DisablePermute(C++) `disable_permute(Python)`，在预处理阶段禁用归一化以及数据格式的转换。
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## 其它文档
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- [PaddleDetection 模型介绍](..)
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- [PaddleDetection C++部署](../cpp)
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- [模型预测结果说明](../../../../../docs/api/vision_results/)
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- [转换PaddleDetection RKNN模型文档](../README.md)
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