我需要哪个 opencv cuda 库来运行一个简单的 opencv cuda 程序？
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【中文标题】我需要哪个 opencv cuda 库来运行一个简单的 opencv cuda 程序？【英文标题】：Which opencv cuda library do I need to run a simple opencv cuda program? 【发布时间】：2015-08-05 12:42:50 【问题描述】：我在 win7 x64 上使用 Visual Studio 2010 构建了支持 cuda 的 opencv。为了运行一个简单的 opencv cuda 程序，我编写了这段代码并将输出发布的 exe 文件放在所有 lib 和 dll 文件附近的opencv\built\install\x64\vc10\bin。
但是当我运行 exe 文件时，它会产生错误No CUDA support (The library is compiled without CUDA support)
这是我的代码：
#include <opencv2/opencv.hpp>
#include <iostream>
#include <string>
#include <chrono>
#include <ctime>
#include <opencv2/core/cuda.hpp>
using namespace cv;
using namespace cv::cuda;
using namespace std;
string source_image_addr, gray_image_addr="", source_image_name="";
int convert2gray()
Mat image;
GpuMat d_image, d_gray_image;
image = imread((char *)source_image_addr.c_str(), IMREAD_COLOR);
if(image.empty())
cout<<"Could not open or find the image"<<std::endl;
return -1;
CV_Assert(image.depth() != sizeof(unsigned char));
std::chrono::time_point<chrono::system_clock> start, end;
start = chrono::system_clock::now();
d_image.upload(image);
cuda::cvtColor(d_image, d_gray_image, CV_RGB2GRAY);
Mat gray_image(d_gray_image);
end = chrono::system_clock::now();
chrono::duration<double> elapsed = end - start;
cout<<"for image["<<image.cols<<"*"<<image.rows<<"] elapsed = "<<elapsed.count()<<endl;
//namedWindow("Gray Window", WINDOW_AUTOSIZE);
//imshow("Gray Window", gray_image);
imwrite((char *)gray_image_addr.c_str(), gray_image);
int main(int argc, char** argv)
if(argc >= 2)
source_image_addr = argv[1];
source_image_name = source_image_addr.substr(0, source_image_addr.find_last_of("."));
if(argc >= 3)
gray_image_addr = argv[2];
else
gray_image_addr = source_image_name + "-gray.jpg";
if(!convert2gray())
return -1;
else
cout<<"Usage: convert2gray ImageAddress [gray_image_addr]"<<endl;
return -1;
//waitKey(0);
return 0;
我已将opencv_world300.dll 放在同一个文件夹中。
编辑：
这是std::cout << cv::getBuildInformation() << std::endl;的输出：
videoio: Removing WinRT API headers by default
General configuration for OpenCV 3.0.0 =====================================
Version control: 3.0.0
Platform:
Host: Windows 6.1 AMD64
CMake: 2.8.11.2
CMake generator: Visual Studio 11 Win64
CMake build tool: C:/Windows/Microsoft.NET/Framework/v4.0.30319/MSBuild.exe
MSVC: 1700
C/C++:
Built as dynamic libs?: YES
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 11.0/VC/bin/x86_amd64/cl.exe (ver 17.0.50727.1)
C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /MP8 /MD /O2 /Ob2 /D NDEBUG /Zi
C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /EHa /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /wd4251 /wd4324 /MP8 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 11.0/VC/bin/x86_amd64/cl.exe
C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP8 /MD /O2 /Ob2 /D NDEBUG /Zi
C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /MP8 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1
Linker flags (Release): /machine:x64 /INCREMENTAL:NO /debug
Linker flags (Debug): /machine:x64 /debug /INCREMENTAL
Precompiled headers: YES
Extra dependencies:
3rdparty dependencies: ippicv
OpenCV modules:
To be built: hal core flann imgproc ml photo video imgcodecs shape videoio highgui objdetect superres ts features2d calib3d stitching videostab world
Disabled: -
Disabled by dependency: -
Unavailable: cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java python2 viz
Windows RT support: NO
GUI:
QT: NO
Win32 UI: YES
OpenGL support: NO
VTK support: NO
Media I/O:
ZLib: build (ver 1.2.8)
JPEG: build (ver 90)
WEBP: build (ver 0.3.1)
PNG: build (ver 1.5.12)
TIFF: build (ver 42 - 4.0.2)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 1.7.1)
GDAL: NO
Video I/O:
Video for Windows: YES
DC1394 1.x: NO
DC1394 2.x: NO
FFMPEG: YES (prebuilt binaries)
codec: YES (ver 55.18.102)
format: YES (ver 55.12.100)
util: YES (ver 52.38.100)
swscale: YES (ver 2.3.100)
resample: NO
gentoo-style: YES
OpenNI: NO
OpenNI PrimeSensor Modules: NO
OpenNI2: NO
PvAPI: NO
GigEVisionSDK: NO
DirectShow: YES
Media Foundation: NO
XIMEA: NO
Intel PerC: NO
Other third-party libraries:
Use IPP: 8.2.1 [8.2.1]
at: C:/buildslave64/win64_amdocl/master_PackSlave-win64-vc11-shared/opencv/3rdparty/ippicv/unpack/ippicv_win
Use IPP Async: NO
Use Eigen: NO
Use TBB: NO
Use OpenMP: NO
Use GCD NO
Use Concurrency YES
Use C=: NO
Use pthreads for parallel for:
NO
Use Cuda: NO
Use OpenCL: YES
OpenCL:
Version: dynamic
Include path: C:/buildslave64/win64_amdocl/master_PackSlave-win64-vc11-shared/opencv/3rdparty/include/opencl/1.2 C:/Program Files (x86)/AMD/clAmdFft/include C:/Program Files (x86)/AMD/clAmdBlas/include
Use AMDFFT: YES
Use AMDBLAS: YES
Python 2:
Interpreter: c:/python27_x64/python.exe (ver 2.7.5)
Python 3:
Interpreter: NO
Python (for build): c:/python27_x64/python.exe
Java:
ant: C:/Program Files (x86)/apache-ant/bin/ant.bat (ver 1.9.2)
JNI: C:/Program Files/Java/jdk1.6.0_45/include C:/Program Files/Java/jdk1.6.0_45/include/win32 C:/Program Files/Java/jdk1.6.0_45/include
Java wrappers: NO
Java tests: NO
Matlab:
mex: NO
Tests and samples:
Tests: NO
Performance tests: NO
C/C++ Examples: NO
Install path: C:/buildslave64/win64_amdocl/master_PackSlave-win64-vc11-shared/build/install
cvconfig.h is in: C:/buildslave64/win64_amdocl/master_PackSlave-win64-vc11-shared/build/opencv_build
-----------------------------------------------------------------
Could not open or find the image
【问题讨论】：
【参考方案1】：OpenCV 预计算二进制文件是在不支持 cuda/GPU 的情况下编译的（这也是错误消息告诉您的内容 => openCV 不支持 cuda 编译）。
您必须编译自己的 OpenCV（使用 CMake 很容易完成）以获得 cuda 支持（激活 WITH_CUDA=ON 并设置 cuda 工具包目录路径）！
看看： http://docs.opencv.org/doc/tutorials/introduction/windows_install/windows_install.html#installation-by-making-your-own-libraries-from-the-source-files
您可能还需要处理不同的 cuda 平台： http://docs.opencv.org/modules/gpu/doc/introduction.html
如果您不确定您的库是如何编译的，则可以使用std::cout << cv::getBuildInformation() << std::endl; 在运行时打印您的 OpenCV 构建设置。
【讨论】：
我已经使用 CMake 从源文件编译并制作了 opencv，然后使用 Visual Studio 2010 编译了所有解决方案项目 您是否在编译 openCV 之前将 Cuda Toolkit 目录添加到您的 OpenCV CMake 设置中？ 请在 main 函数的开头添加std::cout << cv::getBuildInformation() << std::endl; 以查看您在 openCV 构建中选择了哪些选项。
是 CMake 已经自动检测到 Cuda Toolkit 目录
你在 CMake 中设置了WITH_CUDA=ON 吗？也看看docs.opencv.org/modules/gpu/doc/introduction.html以上是关于我需要哪个 opencv cuda 库来运行一个简单的 opencv cuda 程序？的主要内容，如果未能解决你的问题，请参考以下文章
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