[Model] 新增scrfd rknpu2代码 (#504)

* * 新增scrfd rknpu2代码

* * 新增scrfd python代码

* 修正文档

* 修正文档以及部分错误

* 修改文档

* 修复部分错误

* 修复部分错误

* 修复部分错误

* scrfd更新代码

* scrfd更新代码

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

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+# 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
+
+```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
+```
+
+
+## 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。
+## 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)

examples/vision/facedet/scrfd/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 FaceDet model.")
+    parser.add_argument(
+        "--image", type=str, required=True, help="Path of test image file.")
+    return parser.parse_args()
+
+
+def build_option(args):
+    option = fd.RuntimeOption()
+    option.use_rknpu2()
+    return option
+
+
+args = parse_arguments()
+
+# 配置runtime，加载模型
+runtime_option = build_option(args)
+model_file = args.model_file
+params_file = ""
+model = fd.vision.facedet.SCRFD(
+    model_file,
+    params_file,
+    runtime_option=runtime_option,
+    model_format=fd.ModelFormat.RKNN)
+
+model.disable_normalize_and_permute()
+
+# 预测图片分割结果
+im = cv2.imread(args.image)
+result = model.predict(im.copy())
+print(result)
+
+# 可视化结果
+vis_im = fd.vision.vis_face_detection(im, result)
+cv2.imwrite("visualized_result.jpg", vis_im)
+print("Visualized result save in ./visualized_result.jpg")