53 lines
2.2 KiB
C++
53 lines
2.2 KiB
C++
#include <opencv2/core/core.hpp>
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#include <string>
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#include <vector>
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#include <map>
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#include "../models/vehicle_scanner.h"
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using namespace std;
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/*
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* vehicle scan demo, detect on vehicle body
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* tensorRT 8.5 + CUDA 11.1 + cuDNN 8.6 for this code, because original onnx weight could not be converted to TRT engine on tensorRT 7.2
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*/
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std::map<std::string, cv::Scalar> colors {{"truck", cv::Scalar(255, 0, 0)}, // 货车
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{"bus", cv::Scalar(0, 255, 255)}, //巴士
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{"car", cv::Scalar(0, 255, 0)}, //轿车
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{"suv", cv::Scalar(0, 255, 0)}, //suv+商务
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{"van", cv::Scalar(0, 255, 0)}, //面包+金杯
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{"nowindow", cv::Scalar(0, 255, 0)}, //封窗货车，货拉拉
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{"iveco", cv::Scalar(0, 255, 0)}, //9座依维柯
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{"pickup", cv::Scalar(0, 255, 0)}, //皮卡
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{"wheel", cv::Scalar(0, 255, 0)}}; //轮子
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int main() {
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std::string vehicle_scan_model_path = "./vp_data/models/trt/vehicle/vehicle_scan_v8.5.trt";
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auto image = cv::imread("./vp_data/test_images/body/0.jpg");
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auto image2 = cv::imread("./vp_data/test_images/body/1.jpg");
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auto vehicle_scanner = new trt_vehicle::VehicleScanner(vehicle_scan_model_path);
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std::vector<cv::Mat> img_datas = {image, image2};
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std::vector<std::vector<trt_vehicle::ObjBox>> results;
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vehicle_scanner->detect(img_datas, results);
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for (int i = 0; i < results.size(); i++)
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{
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/* code */
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for (int j = 0; j < results[i].size(); j++)
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{
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/* code */
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auto& objbox = results[i][j];
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cv::rectangle(img_datas[i], cv::Rect(objbox.x, objbox.y, objbox.width, objbox.height), colors.at(objbox.label), 2);
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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));
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}
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}
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cv::imshow("image", image);
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cv::imshow("image2", image2);
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cv::waitKey(0);
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delete vehicle_scanner;
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} |