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Ultralytics:main
ultralytics:clean-exp
#include "inference.h" #include <iostream> #include <opencv2/highgui.hpp> int main(int argc, char **argv) { // Check if the correct number of arguments is provided if (argc != 3) { std::cerr << "usage: " << argv[0] << " <model_path> <image_path>" << std::endl; return 1; } // Get the model and image paths from the command-line arguments const std::string model_path = argv[1]; const std::string image_path = argv[2]; // Read the input image cv::Mat image = cv::imread(image_path); // Check if the image was successfully loaded if (image.empty()) { std::cerr << "ERROR: image is empty" << std::endl; return 1; } // Define the confidence and NMS thresholds const float confidence_threshold = 0.5; const float NMS_threshold = 0.5; // Initialize the YOLO inference with the specified model and parameters yolo::Inference inference(model_path, cv::Size(640, 640), confidence_threshold, NMS_threshold); // Run inference on the input image inference.RunInference(image); // Display the image with the detections cv::imshow("image", image); cv::waitKey(0); return 0; }
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