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OpenCVビルド情報、CUDA情報取得
atinfinity edited this page Jul 27, 2016
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cv::getBuildInformationメソッドを使うことでOpenCVビルド時のカスタマイズ情報を取得することができます．詳細は公式APIドキュメントの説明を参照ください．
※このAPIを使うにはopencv2/core/utility.hppをインクルードする必要があります．
cv::cuda::printShortCudaDeviceInfoメソッドを使うことで動作環境におけるCUDA情報を取得することができます．より詳細な情報を取得したい場合はcv::cuda::printCudaDeviceInfoメソッドを使ってください．
※このAPIを使うにはopencv2/core/cuda.hppをインクルードする必要があります．
#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/core/cuda.hpp>
#include <iostream>
int main(int argc, const char* argv[])
{
// (1) OpenCVビルド情報を表示する
std::cout << cv::getBuildInformation() << std::endl;
// (2) CUDA情報を表示する
cv::cuda::printShortCudaDeviceInfo(cv::cuda::getDevice());
return 0;
}筆者の環境における各関数の出力例を以下に示します．
General configuration for OpenCV 3.0.0-rc1 =====================================
Version control: unknown
Platform:
Host: Windows 6.2 AMD64
CMake: 3.2.1
CMake generator: Visual Studio 11 2012 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 17.0.61030.0)
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 /MP12 /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 /MP12 /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 /MP12 /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 /MP12 /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
OpenCV modules:
To be built: hal cudev core cudaarithm flann imgproc ml video cudabgsegm cudafilters cudaimgproc cudawarping imgcodecs photo shape videoio highgui objdetect ts features2d calib3d cudafeatures2d cudalegacy cudaobjdetect cudaoptflow cudastereo stitching superres videostab python3
Disabled: cudacodec python2 world
Disabled by dependency: -
Unavailable: androidcamera java 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: NO
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: YES
XIMEA: NO
Intel PerC: NO
Other third-party libraries:
Use IPP: NO
Use IPP Async: NO
Use Eigen: YES (ver 3.2.2)
Use TBB: YES (ver 4.3 interface 8003)
Use OpenMP: NO
Use GCD NO
Use Concurrency NO
Use C=: NO
Use Cuda: YES (ver 6.5)
Use OpenCL: YES
NVIDIA CUDA
Use CUFFT: YES
Use CUBLAS: YES
USE NVCUVID: NO
NVIDIA GPU arch: 30
NVIDIA PTX archs:
Use fast math: NO
OpenCL:
Version: dynamic
Include path: C:/dev/opencv-3.0.0-rc1/3rdparty/include/opencl/1.2
Use AMDFFT: NO
Use AMDBLAS: NO
Python 2:
Interpreter: C:/Python34/python.exe (ver 3.4.3)
Python 3:
Interpreter: C:/Python34/python.exe (ver 3.4.3)
Libraries: C:/Python34/libs/python34.lib (ver 3.4.3)
numpy: C:/Python34/lib/site-packages/numpy/core/include (ver 1.9.2)
packages path: C:/Python34/Lib/site-packages
Python (for build): C:/Python34/python.exe
Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Matlab:
mex: NO
Tests and samples:
Tests: NO
Performance tests: NO
C/C++ Examples: NO
Install path: C:/dev/opencv-3.0.0-rc1/build/install
cvconfig.h is in: C:/dev/opencv-3.0.0-rc1/build
-----------------------------------------------------------------
Device 0: "GeForce GTX 680" 2048Mb, sm_30, 1536 cores, Driver/Runtime ver.6.50/6.50
*** CUDA Device Query (Runtime API) version (CUDART static linking) ***
Device count: 1
Device 0: "GeForce GTX 680"
CUDA Driver Version / Runtime Version 6.50 / 6.50
CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 2048 MBytes (2147483648 bytes)
( 8) Multiprocessors x (192) CUDA Cores/MP: 1536 CUDA Cores
GPU Clock Speed: 1.06 GHz
Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16384) x 2048
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per block: 1024
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Concurrent kernel execution: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support enabled: No
Device is using TCC driver mode: No
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.50, CUDA Runtime Version = 6.50, NumDevs = 1
筆者はOpenCV 3.0.0で動作確認しました．