OpenCV-Benutzer, denen es wichtig ist, "wie langsam Python ist als C ++", sollten sich über den Inhalt der von ihnen verwendeten DLL und des cv2.pyd-Builds Gedanken machen. Haben Sie jemals eine Multi-Core-CPU verwendet, aber der Inhalt der von Ihnen verwendeten DLL sind DLLs, die nicht verwendet werden können?
buildIno.cpp
#include <opencv2/core/core.hpp>
#include <iostream>
int main(int argc, const char* argv[])
{
//Build-Informationen anzeigen
std::cout << cv::getBuildInformation() << std::endl;
return 0;
}
CMakeLists.txt
cmake_minimum_required(VERSION 2.8)
add_executable(buildInfo buildInfo.cpp)
find_package(OpenCV REQUIRED)
if(OpenCV_FOUND)
include_directories(${OpenCV_INCLUDE_DIRS})
target_link_libraries(buildInfo ${OpenCV_LIBS})
endif(OpenCV_FOUND)
Referenz [Beginnen Sie mit CMakeLists.txt] http://qiita.com/nonbiri15/items/c77c046f0e10f8140cfe
Die von Python verwendete Bedingung von cv2.pyd ist Sie können es wie folgt sehen. >>> import cv2 >>> print cv2.getBuildInformation()
General configuration for OpenCV 2.4.11 =====================================
Platform: Host: Windows 6.2 AMD64 CMake: 3.1.1 CMake generator: Visual Studio 9 2008 CMake build tool: C:/Program Files (x86)/Microsoft Visual Studio 9.0/Common7/IDE/devenv.com MSVC: 1500
C/C++: Built as dynamic libs?: YES C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio 9.0/VC/bin/cl.exe (ver 15.0.30729.1) 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 /arch:SSE2 /Oi /fp:fast /wd4251 /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 /arch:SSE2 /Oi /fp:fast /wd4251 /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1 C Compiler: C:/Program Files (x86)/Microsoft Visual Studio 9.0/VC/bin/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 /arch:SSE2 /Oi /fp:fast /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 /arch:SSE2 /Oi /fp:fast /D_DEBUG /MDd /Zi /Ob0 /Od /RTC1 Linker flags (Release): /machine:X86 /INCREMENTAL:NO /debug Linker flags (Debug): /machine:X86 /debug /INCREMENTAL:YES Precompiled headers: YES
OpenCV modules: To be built: core flann imgproc highgui features2d calib3d ml video legacy objdetect photo gpu ocl nonfree contrib python stitching superres ts videostab Disabled: world Disabled by dependency: - Unavailable: androidcamera dynamicuda java viz
Windows RT support: NO
GUI: QT: NO Win32 UI: YES OpenGL support: YES (glu32 opengl32) VTK support: NO
Media I/O: ZLib: build (ver 1.2.7) JPEG: build (ver 62) 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)
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) gentoo-style: YES OpenNI: NO OpenNI PrimeSensor Modules: NO PvAPI: NO GigEVisionSDK: NO DirectShow: YES Media Foundation: NO XIMEA: NO Intel PerC: NO
Other third-party libraries: Use IPP: 8.1.1 [8.1.1] at: C:/Program Files (x86)/intel/Composer XE/ipp Use Eigen: NO Use TBB: YES (ver 4.2 interface 7005) Use OpenMP: NO Use GCD NO Use Concurrency NO Use C=: NO Use Cuda: NO Use OpenCL: YES
OpenCL: Version: dynamic Include path: D:/Build/OpenCV/opencv-2.4.11/3rdparty/include/opencl/1.2 Use AMD FFT: NO Use AMD BLAS: NO
Python: Interpreter: X:/Python27/python.exe (ver 2.7.9) Libraries: X:/Python27/libs/python27.lib (ver 2.7.9+) numpy: X:/Python27/lib/site-packages/numpy/core/include (ver 1.8.2) packages path: X:/Python27/Lib/site-packages
Java: ant: NO JNI: X:/Java18/include X:/Java18/include/win32 X:/Java18/include Java tests: NO
Documentation: Build Documentation: NO Sphinx: NO PdfLaTeX compiler: NO Doxygen: NO
Tests and samples: Tests: YES Performance tests: YES C/C++ Examples: NO
Install path: D:/Build/OpenCV/OpenCV-2.4.11-vc9-x32/install
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