update

examples/YOLOv8-CPP-Inference/main.cpp

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+#include <iostream>
+#include <vector>
+#include <getopt.h>
+
+#include <opencv2/opencv.hpp>
+
+#include "inference.h"
+
+using namespace std;
+using namespace cv;
+
+int main(int argc, char **argv)
+{
+    std::string projectBasePath = "/home/user/ultralytics"; // Set your ultralytics base path
+
+    bool runOnGPU = true;
+
+    //
+    // Pass in either:
+    //
+    // "yolov8s.onnx" or "yolov5s.onnx"
+    //
+    // To run Inference with yolov8/yolov5 (ONNX)
+    //
+
+    // Note that in this example the classes are hard-coded and 'classes.txt' is a place holder.
+    Inference inf(projectBasePath + "/yolov8s.onnx", cv::Size(640, 480), "classes.txt", runOnGPU);
+
+    std::vector<std::string> imageNames;
+    imageNames.push_back(projectBasePath + "/ultralytics/assets/bus.jpg");
+    imageNames.push_back(projectBasePath + "/ultralytics/assets/zidane.jpg");
+
+    for (int i = 0; i < imageNames.size(); ++i)
+    {
+        cv::Mat frame = cv::imread(imageNames[i]);
+
+        // Inference starts here...
+        std::vector<Detection> output = inf.runInference(frame);
+
+        int detections = output.size();
+        std::cout << "Number of detections:" << detections << std::endl;
+
+        for (int i = 0; i < detections; ++i)
+        {
+            Detection detection = output[i];
+
+            cv::Rect box = detection.box;
+            cv::Scalar color = detection.color;
+
+            // Detection box
+            cv::rectangle(frame, box, color, 2);
+
+            // Detection box text
+            std::string classString = detection.className + ' ' + std::to_string(detection.confidence).substr(0, 4);
+            cv::Size textSize = cv::getTextSize(classString, cv::FONT_HERSHEY_DUPLEX, 1, 2, 0);
+            cv::Rect textBox(box.x, box.y - 40, textSize.width + 10, textSize.height + 20);
+
+            cv::rectangle(frame, textBox, color, cv::FILLED);
+            cv::putText(frame, classString, cv::Point(box.x + 5, box.y - 10), cv::FONT_HERSHEY_DUPLEX, 1, cv::Scalar(0, 0, 0), 2, 0);
+        }
+        // Inference ends here...
+
+        // This is only for preview purposes
+        float scale = 0.8;
+        cv::resize(frame, frame, cv::Size(frame.cols*scale, frame.rows*scale));
+        cv::imshow("Inference", frame);
+
+        cv::waitKey(-1);
+    }
+}