OPENCV's java,c++ development environment configuration

1.OpenCV Download and installation configuration

OPENCV: http://opencv.org/downloads.html

Latest Version: opencv3.0.0

Note: The supported visual studio2013

We can download stable version: opencv2.4.11

Install: Double-click opencv-2.4.11 to extract to a directory

Configuration: In the System environment variable path, add the appropriate path.

32-bit add: C:\opencv\opencv2.4.11\build\x86\vc10\bin

64-bit additions: C:\opencv\opencv2.4.11\build\x86\vc10\bin and C:\opencv\opencv2.4.11\build\x86 \vc10\bin

2.VisualStudio OpenCV Commissioning

Create a new console program

Follow the navigation step by step to complete the project creation

Configuration item's include directory, point to the installation directory for OPENCV, as shown in

The configuration project relies on the Lib directory and the dependent libraries, as shown in

After the environment is configured, write the test code.

#include"stdafx.h"#include<opencv2/opencv.hpp>#include<iostream>#include<fstream>#include<sstream>#include<math.h>voidTrain_and_test_lda () {stringFn_csv =string("At.txt"); //string fn_csv = String ("Feret.txt");Vector<mat>allimages,train_images,test_images; Vector<int>Alllabels,train_labels,test_labels; Try{read_csv (fn_csv, Allimages, alllabels); } Catch(cv::exception&e) {Cerr<<"Error Opening file"<< Fn_csv <<". Reason:"<< e.msg <<Endl; //There's a problem with the file, we can't do anything, quit.Exit1); }    if(Allimages.size () <=1) {        stringError_message ="This demo needs at least 2 images. Add more images to your data set!";    Cv_error (Cv_stserror, error_message); }     for(intI=0; I<allimages.size (); i++) equalizehist (Allimages[i],allimages[i]); intPhotonumber =allimages.size ();  for(intI=0; I<photonumber; i++)    {        if((I%g_photonumberofoneperson) <g_howmanyphotofortraining)            {Train_images.push_back (allimages[i]);        Train_labels.push_back (Alllabels[i]); }        Else{test_images.push_back (allimages[i]);        Test_labels.push_back (Alllabels[i]); }    }    /*ptr<facerecognizer> model = Createeigenfacerecognizer ();//define PCA Models Model->train (Train_images, Train_ labels);//training PCA model, here the model contains all eigenvalues and eigenvectors, no loss of Model->save ("eigenface.yml");//Save training results for use in testing*/Ptr<FaceRecognizer> Fishermodel =Createfisherfacerecognizer (); Fishermodel->train (Train_images,train_labels);//training Fishermodel with saved, reduced-dimensional images, and the contents of the back are nothing like the original code.Fishermodel->save ("fisherlda.yml"); intIcorrectprediction =0; intPredictedlabel; intTestphotonumber =test_images.size ();  for(intI=0; i<testphotonumber;i++) {Predictedlabel= fishermodel->predict (test_images[i]); if(Predictedlabel = =test_labels[i]) icorrectprediction++; }    stringResult_message = Format ("Test Number =%d/actual Number =%d.", Testphotonumber, icorrectprediction); cout<< Result_message <<Endl; cout<<"accuracy ="<<float(icorrectprediction)/testphotonumber<<Endl;}intMain () {cout<<"LDA ="<<Endl;    Train_and_test_lda (); return 0 ;}

After the compilation is passed, the normal operation instructions OPENCV the environment is configured correctly.

3.Eclipse OPENCV Development Environment Configuration

In Eclipse, create a new Java project, as shown in

After the new success, modify the project's build path to add an external jar, as shown in

Select C:\opencv\Opencv2.4.11\build\java\opencv-2411.jar

Open Opencv-2411.jar, select Native Library location, click Edit

32-bit system pointing to: C:\opencv\opencv2.4.11\build\java\x86

64-bit system pointing to: C:\opencv\opencv2.4.11\build\java\x64

Write the test code:

Import Org.opencv.core.Core; Import Org.opencv.core.CvType; Import Org.opencv.core.Mat;  Public class TESTOPENCV {    publicstaticvoid  main (string[] args)       {          System.loadlibrary (core.native_library_name);           = Mat.eye (3, 3, CVTYPE.CV_8UC1);          " Mat = "+ mat.dump ());}       }

The run output is as follows, i.e. the environment is configured correctly:

OPENCV's java,c++ development environment configuration