![](/img/trans.png)
[英]OpenCV : libopencv_core.so.2.4: cannot open shared object file: No such file or directory
[英]libopencv_gpu.so.2.4: cannot open shared object file: No such file or directory
我正在嘗試編譯該代碼(來自gpu示例的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.png\n" << 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;
}
但是運行后,我得到此消息(執行):/ workspace / test_opencv / test_opencv / bin / Release / test_opencv:加載共享庫時出錯:libopencv_gpu.so.2.4:無法打開共享對象文件:沒有這樣的文件或目錄
這是內部版本:--------------內部版本:在test_gpu中發布(編譯器:GNU GCC編譯器)---------------
g ++-牆壁-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.o g ++ -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_contrib.so /usr/local/lib/libopencv_core.so /usr/local/lib/libopencv_features2d.so /usr/local/lib/libopencv_flann.so /usr/local/lib/libopencv_gpu.so / usr / local / lib / libopencv_highgui.so /usr/local/lib/libopencv_imgproc.so /usr/local/lib/libopencv_legacy.so /usr/local/lib/libopencv_ml.so /usr/local/lib/libopencv_nonfree.so / usr / local / lib / libopencv_objdetect.so /usr/local/lib/libopencv_photo.so /usr/local/lib/libopencv_stitching.so /usr/local/lib/libopencv_superres.so /usr/local/lib/libopencv_ts.so / usr / local / lib / libopencv_video.so /usr/local/lib/libopencv_videostab.so輸出大小為14,44 KB進程終止,狀態為0(0分鍾1秒)0錯誤,0警告(0分鍾, 1秒)
來自cpu樣本的houghines.cpp效果很好。 看來它來自libopen_gpu庫編譯。 當我編譯opencv WITH_CUDA時,CMAKE不會返回錯誤。 怎么了?
似乎與這里的問題相同: 在ubuntu 12.04中 , openCV程序編譯錯誤“ libopencv_core.so.2.4:無法打開共享庫文件:沒有這樣的文件或目錄”,正確配置所有內容,它應該運行。
我發現了問題,這正是我所期望的:我在源文件中添加: cv::gpu::printShortCudaDeviceInfo(cv::gpu::getDevice());
它返回: 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
現在,我必須使用cuda(CMAKE)編譯opencv。 但是我曾經做過這部分...
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.