first commit

third_party/trt_yolov8/samples/trt_yolov8_cls_test.cpp

@@ -0,0 +1,36 @@
+
+
+#include "../trt_yolov8_classifier.h"
+
+int main() {
+    trt_yolov8::trt_yolov8_classifier detector("./vp_data/models/trt/others/yolov8s-cls_v8.5.engine");
+    
+    auto image1 = cv::imread("./vp_data/test_images/vehicle_cls/1.jpg");
+    auto image2 = cv::imread("./vp_data/test_images/vehicle_cls/5.jpg");
+    std::unordered_map<int, std::string> labels_map;
+    read_labels("./vp_data/models/imagenet_1000labels1.txt", labels_map);
+
+
+    std::vector<std::vector<Classification>> classifications;
+    std::vector<cv::Mat> images = {image1, image2};
+    detector.classify(images, classifications, 5);  // top3 by default
+
+    for (int i = 0; i < classifications.size(); ++i) {
+        auto& classification = classifications[i];
+        auto& image = images[i];
+
+        for (int j = 0; j < classification.size(); ++j) {
+            std::cout << "(top" << j + 1 << ") class_id:" << classification[j].class_id << "  conf:" << classification[j].conf << std::endl;
+        }
+        std::cout << std::endl;
+        
+        // draw top1's label on image
+        cv::putText(image, "top1: " + labels_map.at(classification[0].class_id), cv::Point(10, 10), 1.5, 1, cv::Scalar(0, 0, 255));
+    }
+
+    cv::imshow("cls1", image1);
+    cv::imshow("cls2", image2);
+
+    cv::waitKey(0);
+    return 0;
+}