C++部署

wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
wget https://bj.bcebos.com/fastdeploy/tests/test_det.jpg
tar xvf ppyoloe_crn_l_300e_coco.tgz

#include "fastdeploy/vision.h"
int main() {
  std::string model_file = "ppyoloe_crn_l_300e_coco/model.pdmodel";
  std::string params_file = "ppyoloe_crn_l_300e_coco/model.pdiparams";
  std::string infer_cfg_file = "ppyoloe_crn_l_300e_coco/infer_cfg.yml";
  // 模型推理的配置信息
  fastdeploy::RuntimeOption option;
  auto model = fastdeploy::vision::detection::PPYOLOE(model_file, params_file, infer_cfg_file, option);

  assert(model.Initialized()); // 判断模型是否初始化成功

  cv::Mat im = cv::imread("test_det.jpg");
  fastdeploy::vision::DetectionResult result;
  
  assert(model.Predict(&im, &result)); // 判断是否预测成功

  std::cout << result.Str() << std::endl;

  cv::Mat vis_im = fastdeploy::vision::Visualize::VisDetection(im, result, 0.5);
  // 可视化结果保存到本地
  cv::imwrite("vis_result.jpg", vis_im);
  std::cout << "Visualized result save in vis_result.jpg" << std::endl;
  return 0;
}

include(/Paddle/Download/fastdeploy_cpp_sdk/FastDeploy.cmake)

PROJECT(infer_demo C CXX)
CMAKE_MINIMUM_REQUIRED (VERSION 3.10)

include(/Path/to/fastdeploy_cpp_sdk/FastDeploy.cmake)

# 添加FastDeploy依赖头文件
include_directories(${FASTDEPLOY_INCS})

add_executable(infer_demo ${PROJECT_SOURCE_DIR}/infer_demo.cc)
target_link_libraries(infer_demo ${FASTDEPLOY_LIBS})

mkdir build & cd build
cmake ..
make -j

./infer_demo 

source /Path/to/fastdeploy_cpp_sdk/fastdeploy_init.sh

DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]
415.047180,89.311569, 506.009613, 283.863098, 0.950423, 0
163.665710,81.914932, 198.585342, 166.760895, 0.896433, 0
581.788635,113.027618, 612.623474, 198.521713, 0.842596, 0
267.217224,89.777306, 298.796051, 169.361526, 0.837951, 0
...
...

mkdir build
cd build
cmake .. -G "Visual Studio 16 2019" -A x64
msbuild infer_demo.sln /m /p:Configuration=Release /p:Platform=x64

Release\infer_demo.exe