FastDeploy/benchmark/cpp/benchmark_yolov5.cc

// Copyright (c) 2023 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 "flags.h"
#include "macros.h"
#include "option.h"

namespace vision = fastdeploy::vision;
namespace benchmark = fastdeploy::benchmark;

int main(int argc, char* argv[]) {
#if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION)
  // Initialization
  auto option = fastdeploy::RuntimeOption();
  if (!CreateRuntimeOption(&option, argc, argv, true)) {
    return -1;
  }
  auto im = cv::imread(FLAGS_image);
  std::unordered_map<std::string, std::string> config_info;
  benchmark::ResultManager::LoadBenchmarkConfig(FLAGS_config_path,
                                                &config_info);
  auto model_yolov5 = vision::detection::YOLOv5(FLAGS_model, "", option);
  vision::DetectionResult res;
  if (config_info["precision_compare"] == "true") {
    // Run once at least
    model_yolov5.Predict(im, &res);
    // 1. Test result diff
    std::cout << "=============== Test result diff =================\n";
    // Save result to -> disk.
    std::string det_result_path = "yolov5_result.txt";
    benchmark::ResultManager::SaveDetectionResult(res, det_result_path);
    // Load result from <- disk.
    vision::DetectionResult res_loaded;
    benchmark::ResultManager::LoadDetectionResult(&res_loaded, det_result_path);
    // Calculate diff between two results.
    auto det_diff =
        benchmark::ResultManager::CalculateDiffStatis(res, res_loaded);
    std::cout << "Boxes diff: mean=" << det_diff.boxes.mean
              << ", max=" << det_diff.boxes.max
              << ", min=" << det_diff.boxes.min << std::endl;
    std::cout << "Label_ids diff: mean=" << det_diff.labels.mean
              << ", max=" << det_diff.labels.max
              << ", min=" << det_diff.labels.min << std::endl;
  }
  BENCHMARK_MODEL(model_yolov5, model_yolov5.Predict(im, &res))
  auto vis_im = vision::VisDetection(im, res);
  cv::imwrite("vis_result.jpg", vis_im);
  std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
#endif
  return 0;
}