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examples/vision/facedet/scrfd/rknpu2/python/README_CN.md

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+English | [简体中文](README.md)
+# SCRFD 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SCRFD在RKNPU上部署的示例。执行如下脚本即可完成
+
+## 拷贝模型文件
+请参考[SCRFD模型转换文档](../README.md)转换SCRFD ONNX模型到RKNN模型,再将RKNN模型移动到该目录下。
+
+
+## 运行example
+拷贝模型文件后，请输入以下命令，运行RKNPU2 Python example
+```bash
+# 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd FastDeploy/examples/vision/facedet/scrfd/rknpu2/python
+
+# 下载图片
+wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
+
+# 推理
+python3 infer.py --model_file ./scrfd_500m_bnkps_shape640x640_rk3588.rknn \
+                 --image test_lite_face_detector_3.jpg
+```
+
+## 可视化
+运行完成可视化结果如下图所示
+
+<img width="640" src="https://user-images.githubusercontent.com/67993288/184301789-1981d065-208f-4a6b-857c-9a0f9a63e0b1.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++)或`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
+
+- [SCRFD 模型介绍](../README.md)
+- [SCRFD C++部署](../cpp/README.md)
+- [模型预测结果说明](../../../../../../docs/api/vision_results/README.md)
+- [转换SCRFD RKNN模型文档](../README.md)