ubuntu16.04 在cuda9.0环境下编译安装opencv2.4.13.7
ubuntu16.04 在cuda9.0環(huán)境下編譯安裝opencv2.4.13.7
安裝步驟:
1.安裝cuda9.0:https://blog.csdn.net/zhuangwu116/article/details/81063234
2.安裝依賴包:
sudo apt-get install build-essential
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install cmake git libgtk2.0-dev pkg-config
這里還需要安裝解碼音視頻庫(kù),安裝解碼音視頻庫(kù)有兩種方法:
(1)一種是編譯安裝:
(2)另一種是命令安裝:
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
如何已經(jīng)編譯安裝解碼視頻庫(kù)的可以跳過(guò),不需要命令安裝,以免沖突。
3.下載代碼:
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout -b 2.4.13.7
或者你也可以直接下載壓縮包 地址
4.修改opencv編譯腳本
修改opencv編譯的腳本是因?yàn)閮牲c(diǎn):
1.在cuda9里面,NVIDIA把 libnppi.so換成libnppc.so libnppial.so libnppicc.so libnppicom.so libnppidei.so libnppif.so libnppig.so libnppim.so libnppist.so libnppisu.so libnppitc.so libnpps.so
2.cuda9里面不支持‘ compute-20 ’
1.解決第一個(gè)問(wèn)題:
修改opencv/cmake/FindCUDA.cmake 文件,將524行的
unset(CUDA_nppi_LIBRARY CACHE)
修改為
unset(CUDA_nppial_LIBRARY CACHE)
unset(CUDA_nppicc_LIBRARY CACHE)
unset(CUDA_nppicom_LIBRARY CACHE)
unset(CUDA_nppidei_LIBRARY CACHE)
unset(CUDA_nppif_LIBRARY CACHE)
unset(CUDA_nppig_LIBRARY CACHE)
unset(CUDA_nppim_LIBRARY CACHE)
unset(CUDA_nppist_LIBRARY CACHE)
unset(CUDA_nppisu_LIBRARY CACHE)
unset(CUDA_nppitc_LIBRARY CACHE)
修改opencv/cmake/FindCUDA.cmake 文件,將799行和801行的
find_cuda_helper_libs(nppi)
set(CUDA_npp_LIBRARY"${CUDA_nppc_LIBRARY};${CUDA_nppi_LIBRARY};${CUDA_npps_LIBRARY}")
修改為
find_cuda_helper_libs(nppial)
find_cuda_helper_libs(nppicc)
find_cuda_helper_libs(nppicom)
find_cuda_helper_libs(nppidei)
find_cuda_helper_libs(nppif)
find_cuda_helper_libs(nppig)
find_cuda_helper_libs(nppim)
find_cuda_helper_libs(nppist)
find_cuda_helper_libs(nppisu)
find_cuda_helper_libs(nppitc)
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppial_LIBRARY};${CUDA_nppicc_LIBRARY};${CUDA_nppicom_LIBRARY};${CUDA_nppidei_LIBRARY};${CUDA_nppif_LIBRARY};${CUDA_nppig_LIBRARY};${CUDA_nppim_LIBRARY};${CUDA_nppist_LIBRARY};${CUDA_nppisu_LIBRARY};${CUDA_nppitc_LIBRARY};${CUDA_npps_LIBRARY}")
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2.解決第二個(gè)問(wèn)題方案
更改 OpenCVDetectCUDA.cmake 文件,把有關(guān) ‘ compute-20 ’ 的修改掉。
將74行中的
?73??? if(CUDA_GENERATION STREQUAL "Fermi")
?74???? set(__cuda_arch_bin "2.0 2.1(2.0)")
?75???? elseif(CUDA_GENERATION STREQUAL "Kepler")
?76???? if(${CUDA_VERSION} VERSION_LESS "5.0")
?77?????? set(__cuda_arch_bin "3.0")
?78???? else()
?79?????? set(__cuda_arch_bin "3.0 3.5")
?80??? endif()
修改成
?73??? if(CUDA_GENERATION STREQUAL "Fermi")
?74???? set(__cuda_arch_bin "3.0 3.5")
?75???? elseif(CUDA_GENERATION STREQUAL "Kepler")
?76???? if(${CUDA_VERSION} VERSION_LESS "5.0")
?77?????? set(__cuda_arch_bin "3.0")
?78???? else()
?79?????? set(__cuda_arch_bin "3.0 3.5")
?80??? endif()
將107行
104????? if(${CUDA_VERSION} VERSION_LESS "5.0")
105???????? set(__cuda_arch_bin "1.1 1.2 1.3 2.0 2.1(2.0) 3.0")
106?????? elseif(${CUDA_VERSION} VERSION_GREATER "6.5")
107???????? set(__cuda_arch_bin "2.0 2.1(2.0) 3.0 3.5")
108?????? else()
109???????? set(__cuda_arch_bin "1.1 1.2 1.3 2.0 2.1(2.0) 3.0 3.5")
110?????? endif()
111?????? set(__cuda_arch_ptx "3.0")
112???? endif()
修改成
104????? if(${CUDA_VERSION} VERSION_LESS "5.0")
105???????? set(__cuda_arch_bin "1.1 1.2 1.3 2.0 2.1(2.0) 3.0")
106?????? elseif(${CUDA_VERSION} VERSION_GREATER "6.5")
107???????? set(__cuda_arch_bin "3.0 3.5")
108?????? else()
109???????? set(__cuda_arch_bin "1.1 1.2 1.3 2.0 2.1(2.0) 3.0 3.5")
110?????? endif()
111?????? set(__cuda_arch_ptx "3.0")
112???? endif()
5.編譯安裝OpenCV
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j7 #此處看您的cpu內(nèi)核數(shù),本人機(jī)器8核
sudo make install
6.測(cè)試OpenCV
$ python
>>import cv2
>>print cv2.__version__
參考:https://docs.opencv.org/2.4.13.7/doc/tutorials/introduction/linux_install/linux_install.html#linux-installation
參考:http://wgshun.top/2018/06/ubuntu-install-opencv/
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版權(quán)聲明:本文為CSDN博主「徑向基」的原創(chuàng)文章,遵循CC 4.0 by-sa版權(quán)協(xié)議,轉(zhuǎn)載請(qǐng)附上原文出處鏈接及本聲明。
原文鏈接:https://blog.csdn.net/zhuangwu116/article/details/81136117
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