add samples

wangrong

2025-03-19 291afb9c81aae1d15d9e3edcea618d0a2e1fc5a6

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#include <opencv2/core/core.hpp> 
#include <string> 
#include <vector> 
#include <map> 
 
#include "../models/vehicle_plate_detector.h" 
#include "../models/vehicle_detector.h" 
using namespace std; 
 
/* 
* vehicle detect demo 
*/ 
 
std::map<std::string, cv::Scalar> colors {{"car", cv::Scalar(255, 0, 0)}, 
                                        {"bus", cv::Scalar(0, 255, 255)}, 
                                        {"truck", cv::Scalar(0, 255, 0)}}; 
 
int main() { 
    std::string vehicle_model_path = "./vp_data/models/trt/vehicle/vehicle_v8.5.trt"; 
    auto image = cv::imread("./vp_data/test_images/vehicle/0.jpg"); 
    auto image2 = cv::imread("./vp_data/test_images/vehicle/1.jpg"); 
 
    auto vehicle_detector = new trt_vehicle::VehicleDetector(vehicle_model_path); 
 
    std::vector<cv::Mat> img_datas = {image, image2}; 
    std::vector<std::vector<trt_vehicle::ObjBox>> results; 
 
    vehicle_detector->detect(img_datas, results); 
 
    for (int i = 0; i < results.size(); i++) 
    { 
        /* code */ 
        for (int j = 0; j < results[i].size(); j++) 
        { 
            /* code */ 
            auto& objbox = results[i][j]; 
 
            cv::rectangle(img_datas[i], cv::Rect(objbox.x, objbox.y, objbox.width, objbox.height), colors.at(objbox.label), 2); 
            cv::putText(img_datas[i], objbox.label + std::to_string(objbox.score), cv::Point(objbox.x, objbox.y), 1, 0.8, colors.at(objbox.label)); 
        } 
         
    } 
    cv::imshow("image", image); 
    cv::imshow("image2", image2); 
     
    cv::waitKey(0); 
    delete vehicle_detector; 
}