OpenCV - cudaimgproc errors

本文关键字：errors cudaimgproc OpenCV 更新时间：2023-10-16

我是OpenCV的新手，我想为一个项目实现houghlines。我从OpenCV Docs中提取了.cpp的标题。当我运行源文件时，我似乎收到一个错误。我在Visual Studios 15上运行它，并使用OpenCV 3.1。我对 Cuda 了解不多，刚刚被介绍到 OpenCV 的世界，所以我确实需要更彻底的指导。谢谢。

#include <cmath>
#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/core/utility.hpp>
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/cudaimgproc.hpp"
using namespace std;
using namespace cv;
using namespace cv::cuda;
static void help()
{
    cout << "This program demonstrates line finding with the Hough transform." << endl;
    cout << "Usage:" << endl;
    cout << "./gpu-example-houghlines <image_name>, Default is ../data/pic1.pngn" << endl;
}
int main(int argc, const char* argv[])
{
    const string filename = argc >= 2 ? argv[1] : "../data/pic1.png";
    Mat src = imread(filename, IMREAD_GRAYSCALE);
    if (src.empty())
    {
        help();
        cout << "can not open " << filename << endl;
        return -1;
    }
    Mat mask;
    cv::Canny(src, mask, 100, 200, 3);
    Mat dst_cpu;
    cv::cvtColor(mask, dst_cpu, COLOR_GRAY2BGR);
    Mat dst_gpu = dst_cpu.clone();
    vector<Vec4i> lines_cpu;
    {
        const int64 start = getTickCount();
        cv::HoughLinesP(mask, lines_cpu, 1, CV_PI / 180, 50, 60, 5);
        const double timeSec = (getTickCount() - start) / getTickFrequency();
        cout << "CPU Time : " << timeSec * 1000 << " ms" << endl;
        cout << "CPU Found : " << lines_cpu.size() << endl;
    }
    for (size_t i = 0; i < lines_cpu.size(); ++i)
    {
        Vec4i l = lines_cpu[i];
        line(dst_cpu, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0, 0, 255), 3, LINE_AA);
    }
    GpuMat d_src(mask);
    GpuMat d_lines;
    {
        const int64 start = getTickCount();
        Ptr<cuda::HoughSegmentDetector> hough = cuda::createHoughSegmentDetector(1.0f, (float)(CV_PI / 180.0f), 50, 5);
        hough->detect(d_src, d_lines);
        const double timeSec = (getTickCount() - start) / getTickFrequency();
        cout << "GPU Time : " << timeSec * 1000 << " ms" << endl;
        cout << "GPU Found : " << d_lines.cols << endl;
    }
    vector<Vec4i> lines_gpu;
    if (!d_lines.empty())
    {
        lines_gpu.resize(d_lines.cols);
        Mat h_lines(1, d_lines.cols, CV_32SC4, &lines_gpu[0]);
        d_lines.download(h_lines);
    }
    for (size_t i = 0; i < lines_gpu.size(); ++i)
    {
        Vec4i l = lines_gpu[i];
        line(dst_gpu, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0, 0, 255), 3, LINE_AA);
    }
    imshow("source", src);
    imshow("detected lines [CPU]", dst_cpu);
    imshow("detected lines [GPU]", dst_gpu);
    waitKey();
    return 0;
}

错误LNK2019

未解析的外部符号"struct cv：:P tr __cdecl cv：：cuda：：createHoughSegmentDetector(float，float，int，int，int(" (？createHoughSegmentDetector@cuda@cv@@YA？AU？$Ptr@VHoughSegmentDetector@cuda@cv@@@2@MMHHH@Z( 在函数 main 中引用

编译时必须链接其他库。

在 Windows 中，库名称为 opencv_cudaimgproc310.lib 。如果使用的是Visual Studio，则必须在[配置属性]->[链接器]->[输入]->[其他依赖项]中添加库名称。

在Linux中，它通常是libopencv_cudaimgproc.so，它是到libopencv_cudaimgproc.so.3.1的符号链接，而又是指向libopencv_cudaimgproc.so.3.1.0的符号链接，而是实际的库。如果使用 g++ ，则必须将-lopencv_cudaimgproc添加到g++命令中。

我假设在这两种环境中，库搜索路径都设置正确，也就是说，它包含 OpenCV 库的路径。