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# PaddleDetection Python部署示例
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English | [简体中文](README_CN.md)
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# PaddleDetection Deployment Examples for Python
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在部署前，需确认以下两个步骤
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Before deployment, the following step need to be confirmed:
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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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- 1. Hardware and software environment meets the requirements, please refer to [Environment Requirements for FastDeploy](../../../../../../docs/en/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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This directory provides `infer.py` for a quick example of Picodet deployment on RKNPU. This can be done by running the following script.
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```bash
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# 下载部署示例代码
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# Download the deploying demo code.
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/examples/vision/detection/paddledetection/rknpu2/python
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# 下载图片
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# Download images.
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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 ./picodet_s_416_coco_lcnet /path/to/FastDeploy/examples/vision/detection/rknpu2detection/paddledetection/python
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# 推理
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# Inference.
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python3 infer.py --model_file ./picodet_s_416_coco_lcnet/picodet_s_416_coco_lcnet_rk3568.rknn \
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--config_file ./picodet_s_416_coco_lcnet/infer_cfg.yml \
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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，
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需要先调用DisableNormalizePermute(C++)或`disable_normalize_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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## Notes
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The input requirement for the model on RKNPU is to use NHWC format, and image normalization will be embedded into the model when converting the RKNN model, so we need to call DisableNormalizePermute(C++) or `disable_normalize_permute(Python) first when deploying with FastDeploy to disable normalization and data format conversion in the preprocessing stage.
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## Other Documents
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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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- [PaddleDetection Model Description](..)
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- [PaddleDetection C++ Deployment](../cpp)
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- [Description of the prediction](../../../../../../docs/api/vision_results/)
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- [Converting PaddleDetection RKNN model](../README.md)
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[English](README.md) | 简体中文
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# PaddleDetection Python部署示例
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在部署前，需确认以下步骤
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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/paddledetection/rknpu2/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 ./picodet_s_416_coco_lcnet /path/to/FastDeploy/examples/vision/detection/rknpu2detection/paddledetection/python
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# 推理
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python3 infer.py --model_file ./picodet_s_416_coco_lcnet/picodet_s_416_coco_lcnet_rk3568.rknn \
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--config_file ./picodet_s_416_coco_lcnet/infer_cfg.yml \
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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DisableNormalizePermute(C++)或`disable_normalize_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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