IPP(integrated performance primitives):Intel的高性能多媒体函数库(Itel从底层优化的函数)
如果安装了IPP,opencv会自动调用IPP库的函数
opencv源码:http://sourceforge.net/projects/opencvlibrary
http://opencv.org/downloads.html
opencv学习文档:../opencv/docs
Wiki帮助文档:http://opencv.willowgarage.com
http://opencv.willowgarage.com/wiki/CvAux
五大模块结构:
CXCORE(基本结构和算法,XML支持,绘图函数)
|
CV(图像处理和视觉算法)
|
MLL(统计分类器)
|
HighGUI(图像和视频的输入输出) |
CvAux模块:即将被淘汰的,以及最新实验性的算法和函数
OpenCV for Mac、opencv for ios编译的程序运行在ios上
一,安装Homebrew
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”
二,利用homebrew安装cmake
输入brew update,然后输入brew upgrade。之后输入brew install cmake 这样等待一会cmake就安装好了。
三,到OpenCV官网下载MAC/Linux版本的OpenCV
http://opencv.org/downloads.html
四,双击解压,进到opencv-2.4.10/路径下。输入cmake
-G "Unix Makefiles”,最后安装
cmake -G “Unix Makefiles” ..
make
sudo make install
五,配置xcode支持opencv
打开Xcode,新建一个command line工程:工程名字TestOpenCVDemo,注意语言选择C++。
1.最左边选中工程,然后右边选中Targets,再BuildSettings下,右边搜索框里输入search,很快就能找到Search Paths设置项。在Header Search Paths里输入:/usr/local/include 在Library Search
Paths里输入:/usr/local/lib
2.接着在Build Phases里找到Link Binary With Libraries,点击+号
选择add other,然后按下/键,输入lib的路径/usr/local/lib,点go:
然后就是选择OpenCV的库了,用哪个添加哪个,没必要都添加完。我们添加最基础的几个:
libopencv_core.2.4.11.dylib
libopencv_highgui.2.4.11.dylib
libopencv_imgproc.2.4.11.dylib
libopencv_ml.2.4.11.dylib
#include <iostream>
using namespace std;
#include <opencv2/opencv.hpp>
using namespace cv;
int main(int argc, const char * argv[]) {
// insert code here...
std::cout << "Hello, World!\n";
string path = "/Users/glyang/Pictures/jimu.jpg";
Mat image = imread(path);
namedWindow("NanHuaiJin");
imshow("NanHuaiJin", image);
Mat gray;
cvtColor(image, gray, COLOR_RGBA2GRAY);
namedWindow("gray");
imshow("gray", gray);
waitKey(0);
return 0;
}
运行OK!!!