Add RKYOLOv5 RKYOLOX RKYOLOV7 (#709)

* 更正代码格式

* 更正代码格式

* 修复语法错误

* fix rk error

* update

* update

* update

* update

* update

* update

* update

Co-authored-by: Jason <jiangjiajun@baidu.com>

examples/vision/detection/rkyolo/cpp/infer_rkyolo.cc

@@ -0,0 +1,53 @@
+// 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.
+#include "fastdeploy/vision.h"
+
+void RKNPU2Infer(const std::string& model_file, const std::string& image_file) {
+  struct timeval start_time, stop_time;
+
+  auto option = fastdeploy::RuntimeOption();
+  option.UseRKNPU2();
+
+  auto format = fastdeploy::ModelFormat::RKNN;
+
+  auto model = fastdeploy::vision::detection::RKYOLOV5(
+      model_file, option,format);
+
+  auto im = cv::imread(image_file);
+
+  fastdeploy::vision::DetectionResult res;
+  if (!model.Predict(im, &res)) {
+    std::cerr << "Failed to predict." << std::endl;
+    return;
+  }
+  std::cout << res.Str() << std::endl;
+  auto vis_im = fastdeploy::vision::VisDetection(im, res,0.5);
+  cv::imwrite("vis_result.jpg", vis_im);
+  std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
+}
+
+int main(int argc, char* argv[]) {
+  if (argc < 3) {
+    std::cout
+        << "Usage: infer_demo path/to/model_dir path/to/image run_option, "
+           "e.g ./infer_model ./picodet_model_dir ./test.jpeg"
+        << std::endl;
+    return -1;
+  }
+
+  RKNPU2Infer(argv[1], argv[2]);
+
+  return 0;
+}
+