[Docs] Pick paddleclas fastdeploy docs from PaddleClas (#1654)

* Adjust folders structures in paddleclas

* remove useless files

* Update sophgo

* improve readme

examples/vision/classification/paddleclas/sophgo/python/README.md

@@ -1,33 +1,39 @@
-English | [简体中文](README_CN.md)
-# PaddleClas Python Deployment Example
+# PaddleClas Python部署示例
+本目录下提供`infer.py`快速完成 ResNet50_vd 在SOPHGO TPU上部署的示例.
 
-Before deployment, the following step need to be confirmed:
 
-- 1. Hardware and software environment meets the requirements. Please refer to [FastDeploy Environment Requirement](../../../../../../docs/en/build_and_install/sophgo.md).
+## 1. 部署环境准备
 
-`infer.py` in this directory provides a quick example of deployment of the ResNet50_vd model on SOPHGO TPU. Please run the following script:
+在部署前，需自行编译基于算能硬件的FastDeploy python wheel包并安装，参考文档[算能硬件部署环境](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/build_and_install#算能硬件部署环境)
 
+## 2.运行部署示例
 ```bash
-# Download the sample deployment code.
+# 下载部署示例代码
 git clone https://github.com/PaddlePaddle/FastDeploy.git
-cd FastDeploy/examples/vision/classification/paddleclas/sophgo/python
+cd  FastDeploy/examples/vision/classification/paddleclas/sophgo/python
 
-# Download images.
+# 如果您希望从PaddleClas下载示例代码，请运行
+git clone https://github.com/PaddlePaddle/PaddleClas.git
+# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
+git checkout develop
+cd PaddleClas/deploy/fastdeploy/sophgo/python
+
+# 下载图片
 wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg
 
-# Inference. Need to manually set the model, configuration file and image path used for inference.
+# 推理转换好的模型
+# 手动设置推理使用的模型、配置文件和图片路径
 python3 infer.py --auto False --model_file ./bmodel/resnet50_1684x_f32.bmodel  --config_file ResNet50_vd_infer/inference_cls.yaml  --image ILSVRC2012_val_00000010.jpeg
-
-# Automatic completion of downloading data - model compilation - inference, no need to set up model, configuration file and image paths.
+# 自动完成下载数据-模型编译-推理，不需要设置模型、配置文件和图片路径
 python3 infer.py --auto True --model '' --config_file '' --image ''
 
-# The returned result.
+# 运行完成后返回结果如下所示
 ClassifyResult(
 label_ids: 153,
 scores: 0.684570,
 )
 ```
 
-## Other Documents
-- [ResNet50_vd C++ Deployment](../cpp)
-- [Converting ResNet50_vd SOPHGO model](../README.md)
+## 4. 其它文档
+- [ResNet50_vd C++部署](../python)
+- [转换ResNet50_vd SOPHGO模型文档](../README.md)