vitis::ai::RefineDet - 2.0 English

Input is an image (cv::Mat).

Output is the position and score of the pedestrians in the input image.

Sample code:

auto det = vitis::ai::RefineDet::create("refinedet_pruned_0_8");
auto image = cv::imread("sample_refinedet.jpg");
cout << "load image" << endl;
if (image.empty()) {
  cerr << "cannot load " << argv[1] << endl;
  abort();
}

auto results = det->run(image);

auto img = image.clone();
for (auto &box : results.bboxes) {
    float x = box.x * (img.cols);
    float y = box.y * (img.rows);
    int xmin = x;
    int ymin = y;
    int xmax = x + (box.width) * (img.cols);
    int ymax = y + (box.height) * (img.rows);
    float score = box.score;
    xmin = std::min(std::max(xmin, 0), img.cols);
    xmax = std::min(std::max(xmax, 0), img.cols);
    ymin = std::min(std::max(ymin, 0), img.rows);
    ymax = std::min(std::max(ymax, 0), img.rows);

    cv::rectangle(img, cv::Point(xmin, ymin), cv::Point(xmax, ymax),
                    cv::Scalar(0, 255, 0), 1, 1, 0);
}
auto out = "sample_refinedet_result.jpg";
LOG(INFO) << "write result to " << out;
cv::imwrite(out, img);

Display of the model results:

Quick Function Reference

The following table lists all the functions defined in the vitis::ai::RefineDet class: