我似乎无法在支持 cuda 5.5 的 centos 6.5 上安装 opencv 2.4.9 。这是我的cmake输出：
[root@cadejos-0 opencv]# cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/opt/opencv -D WITH_CUDA=ON /opt/opencv-2.4.9/opencv/
-- Detected version of GNU GCC: 44 (404)
-- Looking for linux/videodev.h
-- Looking for linux/videodev.h - found
-- Looking for linux/videodev2.h
-- Looking for linux/videodev2.h - found
-- Looking for sys/videoio.h
-- Looking for sys/videoio.h - not found
-- Looking for libavformat/avformat.h
-- Looking for libavformat/avformat.h - found
-- Looking for ffmpeg/avformat.h
-- Looking for ffmpeg/avformat.h - not found
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named numpy.distutils
-- Found apache ant 1.7.1: /usr/bin/ant
--
-- General configuration for OpenCV 2.4.8.2 =====================================
-- Version control: 2.4.8.2-dirty
--
-- Platform:
-- Host: Linux 2.6.32-358.18.1.el6.x86_64 x86_64
-- CMake: 2.6.4
-- CMake generator: Unix Makefiles
-- CMake build tool: /usr/bin/gmake
-- Configuration: RELEASE
--
-- C/C++:
-- Built as dynamic libs?: YES
-- C++ Compiler: /usr/bin/c++ (ver 4.4.7)
-- C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -O3 -DNDEBUG -DNDEBUG
-- C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -g -O0 -DDEBUG -D_DEBUG
-- C Compiler: /usr/bin/gcc
-- C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -O3 -DNDEBUG -DNDEBUG
-- C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -msse -msse2 -msse3 -ffunction-sections -g -O0 -DDEBUG -D_DEBUG
-- Linker flags (Release):
-- Linker flags (Debug):
-- Precompiled headers: YES
--
-- OpenCV modules:
-- To be built: core flann imgproc highgui features2d calib3d ml video legacy objdetect photo gpu ocl nonfree contrib stitching superres ts videostab
-- Disabled: world
-- Disabled by dependency: -
-- Unavailable: androidcamera dynamicuda java python
--
-- GUI:
-- QT: NO
-- GTK+ 2.x: YES (ver 2.20.1)
-- GThread : YES (ver 2.26.1)
-- GtkGlExt: NO
-- OpenGL support: NO
--
-- Media I/O:
-- ZLib: /usr/lib64/libz.so (ver 1.2.3)
-- JPEG: /usr/lib64/libjpeg.so (ver )
-- PNG: /usr/lib64/libpng.so (ver 1.2.49)
-- TIFF: /usr/lib64/libtiff.so (ver 42 - 3.9.4)
-- JPEG 2000: /usr/lib64/libjasper.so (ver 1.900.1)
-- OpenEXR: build (ver 1.7.1)
--
-- Video I/O:
-- DC1394 1.x: NO
-- DC1394 2.x: YES (ver 2.1.2)
-- FFMPEG: YES
-- codec: YES (ver 52.72.2)
-- format: YES (ver 52.64.2)
-- util: YES (ver 50.15.1)
-- swscale: YES (ver 0.11.0)
-- gentoo-style: YES
-- GStreamer:
-- base: YES (ver 0.10.29)
-- app: YES (ver 0.10.29)
-- video: YES (ver 0.10.29)
-- OpenNI: NO
-- OpenNI PrimeSensor Modules: NO
-- PvAPI: NO
-- GigEVisionSDK: NO
-- UniCap: NO
-- UniCap ucil: NO
-- V4L/V4L2: Using libv4l (ver 0.6.3)
-- XIMEA: NO
-- Xine: NO
--
-- Other third-party libraries:
-- Use IPP: NO
-- Use Eigen: NO
-- Use TBB: NO
-- Use OpenMP: NO
-- Use GCD NO
-- Use Concurrency NO
-- Use C=: NO
-- Use Cuda: NO
-- Use OpenCL: YES
--
-- OpenCL:
-- Version: dynamic
-- Include path: /opt/opencv-2.4.9/opencv/3rdparty/include/opencl/1.2
-- Use AMD FFT: NO
-- Use AMD BLAS: NO
--
-- Python:
-- Interpreter: /usr/bin/python2.6 (ver 2.6.6)
--
-- Java:
-- ant: /usr/bin/ant (ver 1.7.1)
-- JNI: /usr/lib/jvm/java/include /usr/lib/jvm/java/include/linux /usr/lib/jvm/java/include
-- Java tests: NO
--
-- Documentation:
-- Build Documentation: NO
-- Sphinx: NO
-- PdfLaTeX compiler: /usr/bin/pdflatex
--
-- Tests and samples:
-- Tests: YES
-- Performance tests: YES
-- C/C++ Examples: NO
--
-- Install path: /opt/opencv
--
-- cvconfig.h is in: /opt/opencv-2.4.9/opencv
-- -----------------------------------------------------------------
--
WARNINGThe source directory is the same as binary directory. "make clean" may damage the source tree
-- Configuring done
-- Generating done
-- Build files have been written to: /opt/opencv-2.4.9/opencv
我有cuda工作：
[root@cadejos-0 opencv]# /usr/local/cuda-5.5/NVIDIA_CUDA-5.5_Samples/1_Utilities/deviceQuery/deviceQuery
/usr/local/cuda-5.5/NVIDIA_CUDA-5.5_Samples/1_Utilities/deviceQuery/deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 2 CUDA Capable device(s)
Device 0: "Tesla M1060"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 1.3
Total amount of global memory: 4096 MBytes (4294770688 bytes)
(30) Multiprocessors, ( 8) CUDA Cores/MP: 240 CUDA Cores
GPU Clock rate: 1296 MHz (1.30 GHz)
Memory Clock rate: 800 Mhz
Memory Bus Width: 512-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 16384
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 512
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 1)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): No
Device PCI Bus ID / PCI location ID: 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 1: "Tesla M1060"
CUDA Driver Version / Runtime Version 5.5 / 5.5
CUDA Capability Major/Minor version number: 1.3
Total amount of global memory: 4096 MBytes (4294770688 bytes)
(30) Multiprocessors, ( 8) CUDA Cores/MP: 240 CUDA Cores
GPU Clock rate: 1296 MHz (1.30 GHz)
Memory Clock rate: 800 Mhz
Memory Bus Width: 512-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 16384
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 512
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 1)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): No
Device PCI Bus ID / PCI location ID: 3 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 5.5, CUDA Runtime Version = 5.5, NumDevs = 2, Device0 = Tesla M1060, Device1 = Tesla M1060
Result = PASS
[root@cadejos-0 opencv]#
但不知何故cmake找不到它们。这些是我的变量：
[root@cadejos-0 opencv]# export
declare -x CVS_RSH="ssh"
declare -x G_BROKEN_FILENAMES="1"
declare -x HISTCONTROL="ignoredups"
declare -x HISTSIZE="1000"
declare -x HOME="/root"
declare -x HOSTNAME="cadejos-0"
declare -x LANG="en_US.UTF-8"
declare -x LD_LIBRARY_PATH="/usr/local/cuda-5.5/lib64:/usr/local/cuda-5.5/lib:/lib64:/lib:/usr/lib:/usr/lib64:"
declare -x LESSOPEN="|/usr/bin/lesspipe.sh %s"
declare -x LOADEDMODULES=""
declare -x LOGNAME="root"
declare -x LS_COLORS="rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=01;05;37;41:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arj=01;31:*.taz=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.zip=01;31:*.z=01;31:*.Z=01;31:*.dz=01;31:*.gz=01;31:*.lz=01;31:*.xz=01;31:*.bz2=01;31:*.tbz=01;31:*.tbz2=01;31:*.bz=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.rar=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.jpg=01;35:*.jpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.axv=01;35:*.anx=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=01;36:*.au=01;36:*.flac=01;36:*.mid=01;36:*.midi=01;36:*.mka=01;36:*.mp3=01;36:*.mpc=01;36:*.ogg=01;36:*.ra=01;36:*.wav=01;36:*.axa=01;36:*.oga=01;36:*.spx=01;36:*.xspf=01;36:"
declare -x MAIL="/var/spool/mail/root"
declare -x MODULEPATH="/usr/share/Modules/modulefiles:/etc/modulefiles"
declare -x MODULESHOME="/usr/share/Modules"
declare -x OLDPWD="/opt"
declare -x PATH="/usr/local/cuda-5.5/bin:/opt/mothur/:/opt/usearch/:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/root/bin"
declare -x PWD="/opt/opencv"
declare -x SHELL="/bin/bash"
declare -x SHLVL="1"
declare -x SSH_CLIENT="10.0.0.1 48436 22"
declare -x SSH_CONNECTION="10.0.0.1 48436 10.0.0.10 22"
declare -x SSH_TTY="/dev/pts/0"
declare -x TERM="xterm"
declare -x USER="root"
我做错了什么，我该如何解决这个问题？
答案1
将 cmake 升级到版本 2.8 修复了所有问题。
答案2
您可以在 cmake 命令行中手动指定 CUDA 工具包位置：
cmake -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-5.5 <other options>