[SOPHGO] Add PaddleDetection YOLOv8 example (#1165)

sophon yolov8s example

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

examples/vision/detection/paddledetection/sophgo/cpp/CMakeLists.txt

@@ -14,6 +14,8 @@ include_directories(${FastDeploy_INCLUDE_DIRS})
 
 add_executable(infer_ppyoloe ${PROJECT_SOURCE_DIR}/infer_ppyoloe.cc)
 add_executable(infer_picodet ${PROJECT_SOURCE_DIR}/infer_picodet.cc)
+add_executable(infer_yolov8 ${PROJECT_SOURCE_DIR}/infer_yolov8.cc)
 # 添加FastDeploy库依赖
 target_link_libraries(infer_ppyoloe ${FASTDEPLOY_LIBS})
 target_link_libraries(infer_picodet ${FASTDEPLOY_LIBS})
+target_link_libraries(infer_yolov8 ${FASTDEPLOY_LIBS})

examples/vision/detection/paddledetection/sophgo/cpp/README.md

@@ -1,6 +1,6 @@
 # PaddleDetection C++部署示例
 
-本目录下提供`infer_ppyoloe.cc`和`infer_picodet.cc`快速完成PP-YOLOE模型和PicoDet模型在SOPHGO BM1684x板子上加速部署的示例。
+本目录下提供`infer_ppyoloe.cc`,`infer_yolov8.cc`和`infer_picodet.cc`快速完成PP-YOLOE模型,YOLOV8模型和PicoDet模型在SOPHGO BM1684x板子上加速部署的示例。
 
 在部署前，需确认以下两个步骤:
 
@@ -19,6 +19,7 @@
 ├── image  # 存放图片的文件夹
 ├── infer_ppyoloe.cc
 ├── infer_picodet.cc
+├── infer_yolov8.cc
 └── model  # 存放模型文件的文件夹
 ```
 

examples/vision/detection/paddledetection/sophgo/cpp/infer_yolov8.cc

@@ -0,0 +1,59 @@
+// 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 <sys/time.h>
+
+#include <iostream>
+#include <string>
+
+#include "fastdeploy/vision.h"
+
+void SophgoInfer(const std::string& model_dir, const std::string& image_file) {
+  auto model_file = model_dir + "/compilation.bmodel";
+  auto params_file = "";
+  auto config_file = model_dir + "/infer_cfg.yml";
+
+  auto option = fastdeploy::RuntimeOption();
+  option.UseSophgo();
+
+  auto format = fastdeploy::ModelFormat::SOPHGO;
+  
+  auto model = fastdeploy::vision::detection::PaddleYOLOv8(model_file, params_file, config_file, option, format);
+
+  model.GetPostprocessor().ApplyDecodeAndNMS();
+
+  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);
+  cv::imwrite("infer_sophgo.jpg", vis_im);
+  std::cout << "Visualized result saved in ./infer_sophgo.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 ./yolov8_model_dir ./test.jpeg"
+        << std::endl;
+    return -1;
+  }
+  SophgoInfer(argv[1], argv[2]);
+  return 0;
+}