- 操作系统：Ubuntu18.04.4
- 版本：opencv3.2.0
安装准备
安装cmake
sudo apt-get install cmake
安装依赖环境
sudo apt install build-essential
sudo apt install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
第三行中，可能会出现 【无法定位软件包libjasper-dev 的错误提示】
sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main" sudo apt update sudo apt upgrade sudo apt install libjasper1 libjasper-dev
下载opencv
安装
解压
在opencv3文件夹下新建build文件夹
cmake
进入build/
sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
【由于网络问题无法下载
ippicv_linux_20151201.tgz文件的解决办法】
- 找到
3rdparty/ippicv/downloader.cmake文件set(OPENCV_ICV_URL "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${IPPICV_BINARIES_COMMIT}/ippicv") set(IPPICV_BINARIES_COMMIT "81a676001ca8075ada498583e4166079e5744668")
- 通过这两个语句拼接得到下载地址：raw.githubusercontent.com/opencv/open…
- 将下载好的文件上传到服务器
- 替换路径为
"file:///root
【The following variables are used in this project, but they are set to NOTFOUND.解决方案】
cuda9不再支持2.0架构
1.在/home/mario/Projects/opencv-3.1.0/cmake下找到FindCUDA.cmake文件
1. 找到行：
find_cuda_helper_libs(nppi)然后替换为：
find_cuda_helper_libs(nppial) find_cuda_helper_libs(nppicc) find_cuda_helper_libs(nppicom) find_cuda_helper_libs(nppidei) find_cuda_helper_libs(nppif) find_cuda_helper_libs(nppig) find_cuda_helper_libs(nppim) find_cuda_helper_libs(nppist) find_cuda_helper_libs(nppisu) find_cuda_helper_libs(nppitc) 2. 找到行：
set(CUDA_npp_LIBRARY "${CUDA_nppc_LIBRARY};${CUDA_nppi_LIBRARY};${CUDA_npps_LIBRARY}")然后替换为：（注意后面的""，实际输入的时候把这个反斜杠去掉，弄成一行，这里只是作为显示换行加的""）
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};${CUDA_npps_LIBRARY}") 3. 找到行：
unset(CUDA_nppi_LIBRARY CACHE)然后替换为：
unset(CUDA_nppial_LIBRARY CACHE) unset(CUDA_nppicc_LIBRARY CACHE) unset(CUDA_nppicom_LIBRARY CACHE) unset(CUDA_nppidei_LIBRARY CACHE) unset(CUDA_nppif_LIBRARY CACHE) unset(CUDA_nppig_LIBRARY CACHE) unset(CUDA_nppim_LIBRARY CACHE) unset(CUDA_nppist_LIBRARY CACHE) unset(CUDA_nppisu_LIBRARY CACHE) unset(CUDA_nppitc_LIBRARY CACHE)
- 在/home/mario/Projects/opencv-3.1.0/cmake下找到OpenCVDetectCUDA.cmake文件
找到以下几行：
... set(__cuda_arch_ptx "") if(CUDA_GENERATION STREQUAL "Fermi") set(__cuda_arch_bin "2.0") elseif(CUDA_GENERATION STREQUAL "Kepler") set(__cuda_arch_bin "3.0 3.5 3.7") ...修改为：
... set(__cuda_arch_ptx "") if(CUDA_GENERATION STREQUAL "Kepler") set(__cuda_arch_bin "3.0 3.5 3.7") elseif(CUDA_GENERATION STREQUAL "Maxwell") set(__cuda_arch_bin "5.0 5.2") ...
- 找到cudafp16.h的头文件
/usr/local/cuda-9.0/include/cudafp16.h，将这个文件拷贝到opencv目录的cudev下opencv-3.2.0/modules/cudev/include/opencv2/cudev，然后在该目录下的common.hpp的文件添加:#include <cuda_fp16.h>
编译
【Unsupported gpu architecture 'compute_20'解决方案】
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler ..hint: 添加Kepler
安装
sudo make install
配置环境
打开/etc/ld.so.conf在文件中加上一行
include /usr/loacal/lib
sudo ldconfig
打开/etc/bash.bashrc ，在文件中添加
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
source /etc/bash.bashrc
检验
pkg-config opencv --modversion
Package opencv was not found in the pkg-config search path.解决方案
创建
opencv.pc文件cd /usr/local/lib sudo mkdir pkgconfig cd pkgconfig sudo touch opencv.pc添加如下信息
prefix=/usr/local exec_prefix=${prefix} includedir=${prefix}/include libdir=${exec_prefix}/lib Name: opencv Description: The opencv library Version:4.0.1 Cflags: -I${includedir}/opencv4 Libs: -L${libdir} -lopencv_shape -lopencv_stitching -lopencv_objdetect -lopencv_superres -lopencv_videostab -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_video -lopencv_photo -lopencv_ml -lopencv_imgproc -lopencv_flann -lopencv_core ~将文件导出到环境变量
export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig
