[安装相关软件和库] 1.安装CMAKE:这里使用apt-get来安装; CMAKE 是一个跨平台编译工具,能够输出各种makefile,和project 文件,指导编译器编译,对CMAKE具体的可以自行搜索,这里推荐一个链接: http://www.cnblogs.com/lyq105/archive/2010/12/03/1895067.html 在联网下,在终端输入: sudo apt-get install cmake [编译.安装OPENCV] 1.从OPENCV官网下载OpenCV-

在CUDA8.0下编译安装OpenCV3.1.0 一.本人电脑配置:ubuntu 14.04, NVIDIA GTX1060. 二.编译OpenCV3.1.0前,读者需要成功安装CUDA8.0(网上有相关教程). 三.在CUDA8.0下编译安装OpenCV3.1.0. 1. 安装依赖库 . sudo apt-get update . sudo apt--dev libxine-dev libgstreamer0.-dev libgstreamer-plugins-base0.-dev libv4

Ubuntu16.04下编译安装OpenCV3.4.0(C++ & python) 前提是已经安装了python2,python3 1)安装各种依赖库 sudo apt-get update sudo apt-get install build-essential sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev sudo apt-get in

在CUDA8.0下指定位置编译安装OpenCV3.1.0 一.本人电脑配置:ubuntu 14.04, NVIDIA GTX1060. 二.编译OpenCV3.1.0前,读者需要成功安装CUDA8.0(网上有相关教程). 三.在CUDA8.0下编译安装OpenCV3.1.0. 1. 安装依赖库 . sudo apt-get update . sudo apt--dev libxine-dev libgstreamer0.-dev libgstreamer-plugins-base0.-dev l

1 安装CMAKE sudo apt-get install cmake 2 安装python及其所依赖的软件包 sudo apt-get install build-essential sudo apt-get install git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev sudo apt-get install python3-dev python3-numpy libtbb2 libtb

brew与cmake brew安装 /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" brew卸载 /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall)" cmake安装 br

1.OpenCV-3.2.0+OpenCV_contrib-3.2.0编译安装过程 1)下载官方要求的依赖包 GCC 4.4.x or later CMake 2.6 or higher Git GTK+2.x or higher, including headers (libgtk2.0-dev) # 控制opencv GUI pkg-config Python 2.6 or later and Numpy 1.5 or later with developer packages (pytho

官方安装教程 http://docs.opencv.org/3.1.0/d9/d52/tutorial_java_dev_intro.html#gsc.tab=0 注意要先安装jdk和apache ant.不然不能成功. wget  http://apachemirror.ovidiudan.com//ant/binaries/apache-ant-1.9.7-bin.zip unzip ~/apache-ant-1.9.7-bin.zip 设置ANT_HOME 添加$ANT_HOME/bin到

OSX版本10.11.3 1.安装homebrew,打开终端,写入指令 ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)” 2.安装完成以后,终端输入 brew help,出现界面如下说明安装完成 3.安装wget,doxygen工具,为了能够生成最终技术文档 brew install wget brew install doxygen 4.下载cmakegui工具,下

本文为作者原创,转载请注明出处(http://www.cnblogs.com/mar-q/)by 负赑屃 需要用到opencv中的surf和sift算法,机器上只有opencv3.2,没有扩展包,于是就去GitHub和官网看了下,没想到8月刚出了3.3,一个激动就想装个opencv3.3+contrib,不过opencv3.3+contrib这产生segment default(段错误,有可能是内存溢出).完全不能用啊,可能是有些包没下到,网上很难搜到3.3的相关模块,如果对opencv3.3非

老实说这篇记录可能拖了有8个月了,早在去年6月份我应该是第一遍安装opencv.当时懒得记录,以为自己什么都能记得住.后来由于电脑各种原因,需要重装opencv,装的时候发现啥都记不住了.然后又得去找教程了,花费很长时间才能找到一篇好的教程.其实也并不是网上的教程不好,而是适合自己的才是最好的,每个人都是根据自己的环境配置的,所以教程才会各种各样.但当时那段时间比较忙,没有心思记录,最近突然想起来,就把之前做过的全部都整理出来,下次再做就不会浪费找教程的时间 下载opencv压缩包 wget h

1.安装官方给的opencv依赖包 $ sudo apt-get install build-essential $ sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev $ sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev

1.安装依赖项 sudo apt--dev pkg-config libavcodec-dev libavformat-dev libswscale-dev 可选的 sudo apt--dev libxine2-dev libgstreamer0.-dev libgstreamer-plugins-base0.-dev libv4l-dev python-dev python-numpy libtbb-dev libqt4-dev libgtk2.-dev libfaac-dev libmp3l

ubuntu14.04安装opencv3.1 1.下载opencv3.1源码http://opencv.org/releases.html 2.安装opencv3 2.1安装opencv3的依赖 1 sudo apt-get install build-essential libgtk2.0-dev libvtk5-dev libjpeg-dev libtiff4-dev libjasper-dev libopenexr-dev libtbb-dev  2.2解压下载的源码并创建编译目录 1 u

步骤1.安装依赖项 sudo apt--dev pkg-config libavcodec-dev libavformat-dev libswscale-dev 可选的 sudo apt--dev libxine2-dev libgstreamer0.-dev libgstreamer-plugins-base0.-dev libv4l-dev python-dev python-numpy libtbb-dev libqt4-dev libgtk2.-dev libfaac-dev libmp

1.需要的包:sudo apt-get install build-essentialsudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-devsudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasp

1.首先安装一些编译工具 # 安装编译工具 sudo apt-get install build-essential # 安装依赖包 sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev # 安装可选包 sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-d

所需安装环境 1.安装编译环境 $ sudo dnf install gcc gcc-c++ ncurses-devel cmake 2.安装gtk+2.x $ sudo dnf install gtk2 gtk2-devel gtk2-devel-docs $ sudo dnf install libgnome-devel gnome-devel-docs $ sudo dnf install zlib glib atk pango gdk-pixbuf2 gdk-pixbuf2-devel

#系统环境:CentOS6.5 x64 #首先安装jdk7u80 mkdir  /java tar -zxvf  jdk-7u80-linux-x64.gz  -C  /java/ vim  /etc/profile #添加以下变量,并用export宣告给所有子shell. JAVA_HOME=/java/jdk1.7.0_80/ JAVA_BIN=/java/jdk1.7.0_80/bin PATH=$PATH:$JAVA_HOME/bin export JAVA_HOME JAVA_BIN

参考 https://www.cnblogs.com/arkenstone/p/6490017.html https://blog.csdn.net/u013180339/article/details/77507936 这里的安装没有用pip或是conda安装,通过pip或者conda安装的opencv只是封装了opencv的Python API,一般情况下也够用.但是如果准备安装完整版本的opencv,这里比较建议将opencv-python卸载,以免之后产生一些不必要的报错. 1.配置环境

出处:http://osask.cn/front/ask/view/258965 CMakeError.log Compilation failed: source file: '/home/jhros/opencv-3.3.0/cmake/checks/cxx11.cpp' check option: '' ===== BUILD LOG ===== Change Dir: /home/jhros/opencv-3.3.0/build/CMakeFiles/CMakeTmp Run Build