libopencv_gpu.so.2.4:无法打开共享对象文件:没有这样的文件或目录

libopencv_gpu.so.2.4: cannot open shared object file: No such file or directory

本文关键字:文件 对象 so gpu libopencv 共享      更新时间:2023-10-16

我正在尝试编译该代码(来自gpu样本的houghlines.cpp):

#include <cmath>
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/gpu/gpu.hpp"
#include <stdlib.h>
#include <stdio.h>
using namespace std;
using namespace cv;
using namespace cv::gpu;
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 pic1.pngn" << endl;
}
int main(int argc, const char* argv[])
{
    const string filename = argc >= 2 ? argv[1] : "~/Images/skorn00.png";
    Mat src = imread(filename, IMREAD_GRAYSCALE);
    if (src.empty())
    {
        help();
        cout << "can not open " << filename << endl;
        return -1;
    }
    Mat mask;
    Canny(src, mask, 100, 200, 3);
    Mat dst_cpu;
    cvtColor(mask, dst_cpu, CV_GRAY2BGR);
    Mat dst_gpu = dst_cpu.clone();
    vector<Vec4i> lines_cpu;
    {
        const int64 start = getTickCount();
        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, CV_AA);
    }
    GpuMat d_src(mask);
    GpuMat d_lines;
    HoughLinesBuf d_buf;
    {
        const int64 start = getTickCount();
        gpu::HoughLinesP(d_src, d_lines, d_buf, 1.0f, (float) (CV_PI / 180.0f), 50, 5);
        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, CV_AA);
    }
    imshow("source", src);
    imshow("detected lines [CPU]", dst_cpu);
    imshow("detected lines [GPU]", dst_gpu);
    waitKey();
    return 0;
}

但在跑步后,我得到了这样的信息(执行):/workspace/test_opencv/test_opencv/bin/Release/test_opencv:加载共享库时出错:libopencv_gpu.so.2.4:无法打开共享对象文件:没有这样的文件或目录

以下是构建:--------------构建:在test_gpu中发布(编译器:GNU GCC编译器)---------------

g++-Wall-fexceptions-O2-I//usr/local/include-I/usr/local/include/opencv-c/home/thomas/workspace/test_opencv/test_gpu/main.cpp-o obj/Release/main.og++-L/usr/local/include-L/usr/local-include/opencv-o bin/Release/test_gpu obj/Release/main.o-s/usr/local/lib/libopencv_calib3d.so/usr/local/lib/libopencv_core.so/usr/local/lib_libopencv_features2d.so/usr/local/lib/libopencv_frann.so/usr/local-lib/libopenv_gpu so/usr/local/lb/libopeniv_higgui.so/usr/local/lib/lib_imgproc.so o/usr/local/lib/libopencv_legacy.so/usr/local/lib/libopencv_ml.so/usr/local/lib/libopencv_nofree.so/usr/local/lib/libopencv_objdetect.so/usr/local/lib/libopen v_photo.so/usr/local-lib/libopenv_stitching.so/usr/local/lb/libopenvc_superes.so/usr/local/Lb/libopeniv_ts.so/usr/local/lib/libopen v_video.so输出大小为14,44 KB进程已终止,状态为0(0分1秒)0个错误,0个警告(0分1秒)

cpu样本中的houghines.cpp运行良好。它似乎来自libopen_gpu库的编译。当我编译opencv WITH_CUDA时,CMAKE不会返回错误。怎么了?

似乎与这里的问题相同:openCV程序编译错误"libopencv_core.so.2.4:无法打开共享对象文件:没有这样的文件或目录"在ubuntu 12.04中,正确配置所有内容,它就会运行。

我发现了问题,这正是我所期望的:我在源文件中添加:cv::gpu::printShortCudaDeviceInfo(cv::gpu::getDevice());

它回来了: OpenCV Error: No GPU support (The library is compiled without CUDA support) in getDevice, file /build/buildd/opencv-2.4.2+dfsg/modules/core/src/gpumat.cpp, line 182 terminate called after throwing an instance of 'cv::Exception' what(): /build/buildd/opencv-2.4.2+dfsg/modules/core/src/gpumat.cpp:182: error: (-216) The library is compiled without CUDA support in function getDevice

现在我必须用cuda(CMAKE)编译opencv。但我曾经做过这个部分。。。