Learning about JNI in Android (ii) Some understanding of Jni method names, data types, and method signatures

working with feature data and code

This address: http://blog.csdn.net/caroline_wendy/article/details/26240241

Input file:

1. The normalized signature file , the 1th column is the label, the remaining columns are features;

2. Characteristic maximum vector file: The first 3 columns are the standard format and the remaining columns are the maximum values;

Output file:

1. The characteristic format conforming to SVM training data ;

2. The standard XML file that the mat stores ;

Code:

/* Processing the feature data program by C.l.wang data format: Feature data: The 1th column is the label, the remaining columns are the characteristics; Maximum data: The first 3 columns are the standard format, the remaining columns are the maximum values, the conversion to: SVM General format, training SVM model; Convert to OpenCV matrix storage mat;*/#include <iostream> #include <string> #include <vector> #include <fstream > #include <opencv.hpp>/* conversion SVM data Format */void transformsvmdata (const std::string _inputfilename,/* Input data file */const std::string _outputfilename,/* output data file */const int _rows,/* Number of rows, custom */const int _cols/* Number of columns, self-set */) {//const int rows (800);//Number of rows , set//const int cols (104); Number of columns, set Cv::mat Traindata = Cv::mat (_rows, _cols, CV_64FC1);/* Read file */std::ifstream file_data (_inputfilename); if (file_ Data.fail ()) {Std::cerr << "Failed to open the file!" << Std::endl;return;} for (int i=0, i<_rows; ++i) {for (int j=0; j<_cols; ++j) {file_data >> traindata.at<double> (I,J);}} File_data.close ();/* Convert the SVM format */std::ofstream svmdata (_outputfilename); for (int i=0; i<_rows; i++) {svmdata << Traindata.at<double> (i, 0) << ""; for (int j=1; j<_cols-1; J + +) {//less than 1 linesSvmdata << J << ":" << traindata.at<double> (i, J) << "";} Svmdata << _cols-1 << ":" << traindata.at<double> (i,_cols-1) << Std::endl; The last line does not add a space}svmdata.close (); return;} /* Convert normalized vector */void transformnormxml (const std::string _MAXFILENAME,CONST int _cols/* column number, self-set */) {const int rows = 1;//const in t cols = 104; Number of columns, custom/* Read file */cv::mat Normmat = Cv::mat (rows, _cols, CV_64FC1); Std::ifstream maxData (_maxfilename, Std::ifstream::in if (Maxdata.fail ()) {Std::cerr << "Failed to open the file!" << Std::endl;return;} for (int i=0, i<rows; ++i) {for (int j=0; j<_cols; ++j) {maxData >> normmat.at<double> (I,J);}} Maxdata.close ();/* Write Xml*/cv::filestorage Filexml ("Normalization.xml", cv::filestorage::write); fileXml << " Normalization "<< Normmat; Label Filexml.release (); return;} int main () {const std::string input_file_name = "Violence_norm_matlab.txt";/* input data file */const std::string output_file_ Name = "Violence_norm_svm.txt "; /* Output data file */const int rows = 843; /* Enter the number of file lines, set */const int cols = 102; /* Enter the number of file columns, set the */transformsvmdata (Input_file_name, output_file_name, rows, cols); Const std::string Max_file_name = " Violence_max_matlab.txt "; Transformnormxml (Max_file_name, cols+2); and previous standard std::cout << "program over!" << Std::endl;return 0;}