Files
VideoPipe/third_party/trt_vehicle/samples/vehicle.cpp
2026-06-03 12:43:14 +08:00

48 lines
1.5 KiB
C++

#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;
}