摘要：安裝使用下載安裝包解壓進入目錄編譯需要為系統(tǒng)生成，是基于的。

下載Opencv安裝包: http://opencv.org/releases.html

解壓進入Opencv目錄

編譯Opencv(需要cmake)

mkdir release
cd release
cmake -G "Unix Makefiles" .. (為Unix 系統(tǒng)生成Makefile，Mac OSX是基于Unix的。未安裝cmake 可以通過Homebrew安裝，未安裝Homebrew需安裝Homebrew）
make

安裝Opencv

make install

安裝完成的目錄

/usr/local/lib (Opencv庫文件)
/usr/local/include (Opencv頭文件）
/usr/local/share/ (Opencv xml配置文件)

使用Opencv(C++ Version)

編寫CMakeLists.txt文件

project( ORBFeatureAndCompare ) // 項目的名稱
cmake_minimum_required(VERSION 2.8) // cmake的版本要求
find_package( OpenCV REQUIRED ) // 查找對應(yīng)的Opencv依賴庫
find_package(Boost COMPONENTS log log_setup thread filesystem system) // 查找對應(yīng)的Boost依賴庫(下文出現(xiàn)Boost的安裝方法)
add_executable( ORBFeatureAndCompare ORBFeatureAndCompare )  // 指定可運行的文件
// 引入對應(yīng)的依賴庫文件的位置
target_link_libraries(ORBFeatureAndCompare
    ${OpenCV_LIBS}
    ${Boost_LOG_SETUP_LIBRARY}
    ${Boost_LOG_LIBRARY}
    ${Boost_FILESYSTEM_LIBRARY}
    ${Boost_THREAD_LIBRARY}
    ${Boost_SYSTEM_LIBRARY}
)

編寫Opencv的cpp文件

//必要的頭文件
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 

using namespace boost::filesystem;  
namespace newfs = boost::filesystem;
using namespace cv;
using namespace std;

int main () {
  ....
  return 0;
}

創(chuàng)建一個images(其他命名都可以)的資源文件夾

cd images
cmake ..
make
./ORBFeatureAndCompare //編譯出的可執(zhí)行程序

下載Boost安裝包: https://dl.bintray.com/boosto...

解壓進入Boost目錄

編譯安裝Boost

./bootstrap.sh
./b2

引入Boost庫進行數(shù)據(jù)序列化,同樣是在CmakeList中引入文件路徑, 在cpp文件中使用

依賴安裝

全局安裝node-gyp

本地安裝nan

編寫binding.gyp

{
  "targets": [
  {
    "target_name": "feature",
    "sources": [ "./src/feature.cc" ],
    "include_dirs": [
      "

編寫node c++ 插件


#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 

using namespace boost::filesystem;
namespace newfs = boost::filesystem;
using namespace v8;
using namespace std;

vector matToString(cv::Mat descriptorMat) {
  vector buf;
  imencode(".png", descriptorMat, buf);
  return buf;
}

vector descriptorMat(cv::Mat image) {
  vector keyPoint;
  cv::Ptr orb = cv::ORB::create(4000, 1.2f, 8, 31, 0, 2,             cv::ORB::HARRIS_SCORE, 31, 20);
  orb->detect(image, keyPoint);
  cv::Mat descriptorMat;
  orb->compute(image, keyPoint, descriptorMat);
  return matToString(descriptorMat);
}

void imageFeature(const FunctionCallbackInfo& args) {
  Isolate* isolate = args.GetIsolate();
  if (args.Length() < 1) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong number of arguments")));
    return;
  }
  if (!args[0]->IsString()) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong arguments")));
    return;
  }
  String::Utf8Value pathValue(Local::Cast(args[0]));
  string path = string(*pathValue);
  cv::Mat image = cv::imread(path, 1);
  if (image.empty()) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Input image error")));
    return;
  }
  vector descriptorString = descriptorMat(image);
  Local