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

* Adjust folders structures in paddleclas

* remove useless files

* Update sophgo

* improve readme

examples/vision/classification/paddleclas/rockchip/rknpu2/python/README.md

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+# PaddleClas Python部署示例
+
+## 1. 部署环境准备
+在部署前，需确认以下两个步骤
+- 1. 在部署前，需自行编译基于RKNPU2的Python预测库，参考文档[RKNPU2部署环境编译](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/build_and_install#自行编译安装)
+- 2. 同时请用户参考[FastDeploy RKNPU2资源导航](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/build_and_install/rknpu2.md)
+
+## 2. 部署模型准备
+在部署前, 请准备好您所需要运行的推理模型, 您可以参考[RKNPU2模型转换](../README.md), 来准备模型.
+
+## 3. 部署示例
+
+本目录下提供`infer.py`快速完成 ResNet50_vd 在RKNPU上部署的示例
+
+```bash
+# 安装FastDpeloy RKNPU2 python包（详细文档请参考`部署环境准备`）
+
+# 下载部署示例代码
+git clone https://github.com/PaddlePaddle/FastDeploy.git
+cd  FastDeploy/examples/vision/classification/paddleclas/rockchip/rknpu2/python
+
+# 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/rockchip/rknpu2/python
+
+# 下载图片
+wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg
+
+# 推理
+python3 infer.py --model_file ./ResNet50_vd_infer/ResNet50_vd_infer_rk3588.rknn  --config_file ResNet50_vd_infer/inference_cls.yaml  --image ILSVRC2012_val_00000010.jpeg
+
+# 运行完成后返回结果如下所示
+ClassifyResult(
+label_ids: 153,
+scores: 0.684570,
+)
+```
+
+## 4.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)，在预处理阶段禁用数据格式的转换。
+
+## 5. 其它文档
+- [ResNet50_vd C++部署](../cpp)
+- [转换ResNet50_vd RKNN模型文档](../README.md)

examples/vision/classification/paddleclas/rockchip/rknpu2/python/infer.py

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+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import fastdeploy as fd
+import cv2
+import os
+
+
+def parse_arguments():
+    import argparse
+    import ast
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model_file", required=True, help="Path of rknn model.")
+    parser.add_argument("--config_file", required=True, help="Path of config.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    args = parse_arguments()
+
+    model_file = args.model_file
+    params_file = ""
+    config_file = args.config_file
+    # 配置runtime，加载模型
+    runtime_option = fd.RuntimeOption()
+    runtime_option.use_rknpu2()
+    model = fd.vision.classification.ResNet50vd(
+        model_file,
+        params_file,
+        config_file,
+        runtime_option=runtime_option,
+        model_format=fd.ModelFormat.RKNN)
+    # 禁用通道转换
+    model.preprocessor.disable_permute()
+    im = cv2.imread(args.image)
+    result = model.predict(im, topk=1)
+    print(result)