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examples/vision/detection/rkyolo/python/README.md
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# RKYOLO Python部署示例
English | [简体中文](README_CN.md)
# RKYOLO Python Deployment Example
在部署前，需确认以下两个步骤
Two steps before deployment
- 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. Software and hardware should meet the requirements. Refer to [FastDeploy Environment Requirements](../../../../../../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
This directory provides examples that `infer.py` fast finishes the deployment of Picodet on RKNPU. The script is as follows
```bash
# 下载部署示例代码
# Download the example code for deployment
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/rkyolo/python
# 下载图片
# Download images
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# copy model
cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python
# 推理
# Inference
python3 infer.py --model_file ./model/ \
--image 000000014439.jpg
```
## 注意事项
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，
## Note
The model needs to be in NHWC format on RKNPU. The normalized image will be embedded in the RKNN model. Therefore, when we deploy with FastDeploy, call DisablePermute(C++) or `disable_permute(Python)` to disable normalization and data format conversion during preprocessing.
## 其它文档
## Other Documents
- [PaddleDetection 模型介绍](..)
- [PaddleDetection C++部署](../cpp)
- [模型预测结果说明](../../../../../../docs/api/vision_results/)
- [转换PaddleDetection RKNN模型文档](../README.md)
- [PaddleDetection Model Description](..)
- [PaddleDetection C++ Deployment](../cpp)
- [model prediction Results](../../../../../../docs/api/vision_results/)
- [Convert PaddleDetection RKNN Model Files](../README.md)

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[English](README.md) | 简体中文
# RKYOLO Python部署示例
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)
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
```bash
# 下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git
cd FastDeploy/examples/vision/detection/rkyolo/python
# 下载图片
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# copy model
cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python
# 推理
python3 infer.py --model_file ./model/ \
--image 000000014439.jpg
```
## 注意事项
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。
## 其它文档
- [PaddleDetection 模型介绍](..)
- [PaddleDetection C++部署](../cpp)
- [模型预测结果说明](../../../../../../docs/api/vision_results/)
- [转换PaddleDetection RKNN模型文档](../README.md)