opencv bag of features.. classificatioon nproblem [closed]
This is my code.... It works well but, the classifier is not predicting right.. it shows the same result each time for any kind of evaluation data. I am not able to figure out where the problem lies. Its very urgent. I'll be grateful
#include "stdafx.h"
#include <vector>
#include <boost/filesystem.hpp>
#include <opencv2/opencv.hpp>
#include<stdio.h>
#include<conio.h>
using namespace std;
using namespace boost::filesystem;
using namespace cv;
//location of the training data
#define TRAINING_DATA_DIR "data/train/"
//location of the evaluation data
#define EVAL_DATA_DIR "data/eval/"
//See article on BoW model for details
Ptr<FeatureDetector> detector = FeatureDetector::create("SURF");
Ptr<DescriptorExtractor> extractor = DescriptorExtractor::create("SURF");
Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("FlannBased");
//See article on BoW model for details
int dictionarySize = 1000;
TermCriteria tc(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 10, 0.001);
int retries = 1;
int flags = KMEANS_PP_CENTERS;
//See article on BoW model for details
BOWKMeansTrainer bowTrainer(dictionarySize, tc, retries, flags);
//See article on BoW model for details
BOWImgDescriptorExtractor bowDE(extractor, matcher);
/*
CvSVMParams params;
params.svm_type = CvSVM::C_SVC;
params.kernel_type = CvSVM::LINEAR;
params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 100, 1e-6);
*/
/**
* \brief Recursively traverses a folder hierarchy. Extracts features from the training images and adds them to the bowTrainer.
*/
bool readVocabulary( const string& filename, Mat& vocabulary )
{
cout << "Reading vocabulary...";
FileStorage fs( filename, FileStorage::READ );
if( fs.isOpened() )
{
fs["vocabulary"] >> vocabulary;
cout << "done" << endl;
return true;
}
return false;
}
bool writeVocabulary( const string& filename, const Mat& vocabulary )
{
cout << "Saving vocabulary..." << endl;
FileStorage fs( filename, FileStorage::WRITE );
if( fs.isOpened() )
{
fs << "vocabulary" << vocabulary;
return true;
}
return false;
}
void extractTrainingVocabulary(const path& basepath) {
for (directory_iterator iter = directory_iterator(basepath); iter
!= directory_iterator(); iter++) {
directory_entry entry = *iter;
if (is_directory(entry.path())) {
cout << "Processing directory " << entry.path().string() << endl;
extractTrainingVocabulary(entry.path());
} else {
path entryPath = entry.path();
if (entryPath.extension() == ".jpg") {
cout << "Processing file " << entryPath.string() << endl;
Mat img = imread(entryPath.string(),0);
if (!img.empty()) {
vector<KeyPoint> keypoints;
detector->detect(img, keypoints);
if (keypoints.empty()) {
cerr << "Warning: Could not find key points in image: "
<< entryPath.string() << endl;
} else {
Mat features;
extractor->compute(img, keypoints, features);
bowTrainer.add(features);
}
} else {
cerr << "Warning: Could not read image: "
<< entryPath.string() << endl;
}
}
}
}
}
/**
* \brief Recursively traverses a folder hierarchy. Creates a BoW descriptor for each image encountered.
*/
void extractBOWDescriptor(const path& basepath, Mat& descriptors, Mat& labels) {
for (directory_iterator iter = directory_iterator(basepath); iter
!= directory_iterator(); iter++) {
directory_entry entry = *iter;
if (is_directory(entry.path())) {
cout << "Processing directory " << entry.path().string() << endl;
extractBOWDescriptor(entry.path(), descriptors, labels);
} else {
path entryPath = entry.path();
if (entryPath.extension() == ".jpg") {
cout << "Processing file " << entryPath.string() << endl;
Mat img = imread(entryPath.string(),0);
if (!img.empty()) {
vector<KeyPoint> keypoints;
detector->detect(img, keypoints);
if (keypoints.empty()) {
cerr << "Warning: Could not find key points in image: "
<< entryPath.string() << endl;
} else {
Mat histogram;
bowDE.compute(img, keypoints, histogram);
descriptors.push_back(histogram);
float label=atof(entryPath.filename().string().c_str());
labels.push_back(label);
}
} else {
cerr << "Warning: Could not read image: "
<< entryPath.string() << endl;
}
}
}
}
}
int main(int argc, char ** argv) {
cout<<"Creating dictionary..."<<endl;
Mat dictionary;
if( !readVocabulary( "k.txt", dictionary) )
{
extractTrainingVocabulary(path(TRAINING_DATA_DIR));
vector<Mat> descriptors ...
Please suppress irrelevant part of your code, and explain your inputs and the returned/printed values.