#include #include "inference.h" #include #include void file_iterator(DCSP_CORE *&p) { std::filesystem::path current_path = std::filesystem::current_path(); std::filesystem::path imgs_path = current_path / "images"; for (auto &i: std::filesystem::directory_iterator(imgs_path)) { if (i.path().extension() == ".jpg" || i.path().extension() == ".png" || i.path().extension() == ".jpeg") { std::string img_path = i.path().string(); cv::Mat img = cv::imread(img_path); std::vector res; p->RunSession(img, res); for (auto &re: res) { cv::RNG rng(cv::getTickCount()); cv::Scalar color(rng.uniform(0, 256), rng.uniform(0, 256), rng.uniform(0, 256)); cv::rectangle(img, re.box, color, 3); std::string label = p->classes[re.classId] + " " + std::to_string(re.confidence); cv::putText( img, label, cv::Point(re.box.x, re.box.y - 5), cv::FONT_HERSHEY_SIMPLEX, 0.75, color, 2 ); } std::cout << "Press any key to exit" << std::endl; cv::imshow("Result of Detection", img); cv::waitKey(0); cv::destroyAllWindows(); } } } int read_coco_yaml(DCSP_CORE *&p) { // Open the YAML file std::ifstream file("coco.yaml"); if (!file.is_open()) { std::cerr << "Failed to open file" << std::endl; return 1; } // Read the file line by line std::string line; std::vector lines; while (std::getline(file, line)) { lines.push_back(line); } // Find the start and end of the names section std::size_t start = 0; std::size_t end = 0; for (std::size_t i = 0; i < lines.size(); i++) { if (lines[i].find("names:") != std::string::npos) { start = i + 1; } else if (start > 0 && lines[i].find(':') == std::string::npos) { end = i; break; } } // Extract the names std::vector names; for (std::size_t i = start; i < end; i++) { std::stringstream ss(lines[i]); std::string name; std::getline(ss, name, ':'); // Extract the number before the delimiter std::getline(ss, name); // Extract the string after the delimiter names.push_back(name); } p->classes = names; return 0; } int main() { DCSP_CORE *yoloDetector = new DCSP_CORE; std::string model_path = "yolov8n.onnx"; read_coco_yaml(yoloDetector); #ifdef USE_CUDA // GPU FP32 inference DCSP_INIT_PARAM params{ model_path, YOLO_ORIGIN_V8, {640, 640}, 0.1, 0.5, true }; // GPU FP16 inference // DCSP_INIT_PARAM params{ model_path, YOLO_ORIGIN_V8_HALF, {640, 640}, 0.1, 0.5, true }; #else // CPU inference DCSP_INIT_PARAM params{model_path, YOLO_ORIGIN_V8, {640, 640}, 0.1, 0.5, false}; #endif yoloDetector->CreateSession(params); file_iterator(yoloDetector); }