Example Code - 2.0 English

Vitis AI Library User Guide (UG1354)

Document ID
UG1354
Release Date
2022-01-20
Version
2.0 English

The following is an example code.

Mat img = cv::imread(argv[1]);
auto yolo = vitis::ai::YOLOv3::create("yolov3_voc",   true);
auto results   = yolo->run(img);
for(auto   &box : results.bboxes){
    int label = box.label;
    float xmin = box.x * img.cols + 1;
    float ymin = box.y * img.rows + 1;
    float xmax = xmin + box.width * img.cols;
    float ymax = ymin + box.height * img.rows;
    if(xmin < 0.) xmin = 1.;
    if(ymin < 0.) ymin = 1.;
    if(xmax > img.cols) xmax = img.cols;
    if(ymax > img.rows) ymax = img.rows;
    float confidence = box.score;
    cout << "RESULT: "   << label <<   "\t" << xmin << "\t"   << ymin << "\t"
            << xmax <<   "\t"   << ymax << "\t" << confidence   << "\n";
    rectangle(img, Point(xmin, ymin), Point(xmax, ymax), Scalar(0, 255, 0), 1, 1, 0);
}
imshow("", img);
waitKey(0);

To create the YOLOv3 object, use create.

static std::unique_ptr<YOLOv3> create(const std::string& model_name, bool need_mean_scale_process = true);
Note: The model_name is the same as the prototxt. For more details about the example, see ~/Vitis-AI/Vitis-AI-Library/yolov3/test/test_yolov3.cpp.