FastDeploy/model_zoo/vision/yolov5lite/cpp/yolov5lite.cc

// 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"

int main() {
  namespace vis = fastdeploy::vision;
  auto model = vis::ppogg::YOLOv5Lite("yolov5lite.onnx");
  if (!model.Initialized()) {
    std::cerr << "Init Failed." << std::endl;
    return -1;
  }
  cv::Mat im = cv::imread("test.jpg");
  cv::Mat vis_im = im.clone();
  // 如果onnx是有decode模块的，需要修改参数
  // model.is_decode_exported = true;

  vis::DetectionResult res;
  if (!model.Predict(&im, &res)) {
    std::cerr << "Prediction Failed." << std::endl;
    return -1;
  }

  // 输出预测框结果
  std::cout << res.Str() << std::endl;

  // 可视化预测结果
  vis::Visualize::VisDetection(&vis_im, res);
  cv::imwrite("vis_result.jpg", vis_im);
  return 0;
}