vitis::ai::SSD - 2.0 English

Vitis AI Library User Guide (UG1354)

Document ID
UG1354
Release Date
2022-01-20
Version
2.0 English
Base class for detecting position of vehicle, pedestrian, and so on.

Input is an image (cv:Mat).

Output is a struct of detection results, named SSDResult.

Sample code :

  Mat img = cv::imread("sample_ssd.jpg");
  auto ssd = vitis::ai::SSD::create("ssd_traffic_pruned_0_9",true);
  auto results = ssd->run(img);
  for(const auto &r : results.bboxes){
     auto label = r.label;
     auto x = r.x * img.cols;
     auto y = r.y * img.rows;
     auto width = r.width * img.cols;
     auto heigth = r.height * img.rows;
     auto score = r.score;
     std::cout << "RESULT: " << label << "\t" << x << "\t" << y << "\t" <<
width
        << "\t" << height << "\t" << score << std::endl;
  }

Display of the model results:

Figure 1. detection result
Image sample_ssd_result.jpg

Quick Function Reference

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

Table 1. Quick Function Reference
Type Name Arguments
std::unique_ptr< SSD > create
  • const std::string & model_name
  • bool need_preprocess
std::unique_ptr< SSD > create
  • void
vitis::ai::SSDResult run
  • const cv::Mat & image
std::vector< vitis::ai::SSDResult > run
  • const std::vector< cv::Mat > & images
std::vector< vitis::ai::SSDResult > run
  • const std::vector< vart::xrt_bo_t > & input_bos