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|
/****************************************************************************************************
* Author: Umang Agrawal *
* Code: bagOfFeatues.cpp *
* Function Format: bag = bagOfFeatures(imageSet, Oprional Arguments Name, Value) *
* Arguments: Name Value *
* 1. VocabularySize any integer value greater than 0 *
* 2. StrongestFeatures pecentage of best features to be Selected *
* 3. Upright Bool 0 or 1 *
* 4. Verbose Bool 0 or 1 *
****************************************************************************************************/
#include <iostream>
#include <numeric>
#include <vector>
#include <string>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/nonfree/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace cv;
using namespace std;
extern "C"
{
#include "api_scilab.h"
#include "Scierror.h"
#include "BOOL.h"
#include <localization.h>
#include "sciprint.h"
#include "../common.h"
bool response_comparator(const KeyPoint& p1, const KeyPoint& p2) {
return p1.response > p2.response;
}
int opencv_bagOfFeatures(char *fname, unsigned long fname_len)
{
SciErr sciErr;
int inp_params = 0;
int *piAddr = NULL;
int *piAddr1 = NULL;
int *piAddr2 = NULL;
int *piAddr3 = NULL;
int *piAddr4 = NULL;
int *piLen = NULL;
int *piChild = NULL;
char **pstData = NULL;
int iRows, iCols;
char **arg = NULL;
int count_ver = 0, count_up = 0, count_strength = 0, count_vocab = 0;
int descriptionCount;
char *objectType = "bagOfFeatures";
char **description = NULL;
int *count = NULL;
double vocab_size = 500, verbose = 1, upright = 1, strength = 1;
char ***location = NULL;
char **filepath = NULL;
char *file = "Bag-Of-Features.yml";
int key_size=0, v_key_size=0;
Mat image;
vector<KeyPoint> keypoints;
vector<KeyPoint> valid_key;
Mat feature_des;
Mat dictionary;
Mat featuresUnclustered;
CheckInputArgument(pvApiCtx, 1, 9); //Check on Number of Input Arguments
CheckOutputArgument(pvApiCtx, 1, 1); //Check on Number of Output Arguments
sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piAddr1);
if (sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if(!isListType(pvApiCtx, piAddr1))
{
Scierror(999, "Error: Invalid first argument. List Expected.\n");
return 0;
}
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 1, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 1, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
pstData = (char**)malloc(sizeof(char*) * iRows * iCols);
for(int iter = 0 ; iter < iRows * iCols ; iter++)
{
pstData[iter] = (char*)malloc(sizeof(char) * (piLen[iter] + 1));//+ 1 for null termination
}
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 1, &iRows, &iCols, piLen, pstData);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if(!(strcmp(pstData[0],"imageSet")==0))
{
Scierror(999, "Error: The input argument is not of type imageSet.\n");
return 0;
}
// Extracting Description attribute of input argument
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 2, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 2, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
description = (char**)malloc(sizeof(char*) * iRows * iCols);
for(int iter = 0 ; iter < iRows * iCols ; iter++)
{
description[iter] = (char*)malloc(sizeof(char) * (piLen[iter] + 1));//+ 1 for null termination
}
sciErr = getMatrixOfStringInList(pvApiCtx, piAddr1, 2, &iRows, &iCols, piLen, description);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
descriptionCount = iRows;
// Extracting Count attribute of input argument
sciErr = getMatrixOfInteger32InList(pvApiCtx, piAddr1, 3, &iRows, &iCols, &count);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
location = (char***) malloc(sizeof(char**) * descriptionCount);
sciErr = getListItemAddress(pvApiCtx, piAddr1, 4, &piChild);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
for(int iter = 1; iter<=descriptionCount; iter++)
{
sciErr = getMatrixOfStringInList(pvApiCtx, piChild, iter, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
sciErr = getMatrixOfStringInList(pvApiCtx, piChild, iter, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
location[iter-1] = (char**)malloc(sizeof(char*) * iRows * iCols);
for(int colIter = 0 ; colIter < iRows * iCols ; colIter++)
{
location[iter-1][colIter] = (char*)malloc(sizeof(char) * (piLen[colIter] + 1));//+ 1 for null termination
}
sciErr = getMatrixOfStringInList(pvApiCtx, piChild, iter, &iRows, &iCols, piLen, location[iter-1]);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
}
/*sciErr = getVarAddressFromPosition(pvApiCtx, 2, &piAddr2);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if( !isStringType(pvApiCtx, piAddr2))
{
Scierror(999, "%s: Wrong type of argument for Location. A string is expected.\n", fname);
return 0;
}
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
//second call to retrieve the length of the string
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
free(piLen);
return 0;
}
filepath = (char**)malloc(sizeof(char*) * iRows * iCols);
for(int j=0;j< iRows * iCols; j++)
{
filepath[j] = (char*)malloc(sizeof(char) * (piLen[j] + 1));
}
//third call to retrieve data
sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, filepath);
if(sciErr.iErr)
{
printError(&sciErr, 0);
free(piLen);
free(filepath);
return 0;
}*/
inp_params = *getNbInputArgument(pvApiCtx);
for(int i=2; i<=inp_params; i++)
{
if( inp_params%2 == 0)
{
Scierror(999,"Either Argument Name or its Value missing\n");
return 0;
}
sciErr = getVarAddressFromPosition(pvApiCtx, i, &piAddr3);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
//Check for Argument type
if( !isStringType(pvApiCtx, piAddr3))
{
Scierror(999, "%s: Wrong type of argument for Name of Optional Argument. A string is expected.\n", fname);
return 0;
}
//Matrix of Stings
sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, NULL, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
piLen = (int*)malloc(sizeof(int) * iRows * iCols);
//second call to retrieve the length of the string
sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, piLen, NULL);
if(sciErr.iErr)
{
printError(&sciErr, 0);
free(piLen);
return 0;
}
arg = (char**)malloc(sizeof(char*) * iRows * iCols);
for(int j=0;j< iRows * iCols; j++)
{
arg[j] = (char*)malloc(sizeof(char) * (piLen[j] + 1));
}
//third call to retrieve data
sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, piLen, arg);
if(sciErr.iErr)
{
printError(&sciErr, 0);
free(piLen);
free(arg);
return 0;
}
if(strcmp(arg[0],"VocabularySize") == 0)
{
if( count_vocab != 0)
{
Scierror(999,"Voabulary Size has been called twice.\n");
return 0;
}
free(arg);
free(piLen);
sciErr = getVarAddressFromPosition(pvApiCtx, i+1, &piAddr4);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if( !(isDoubleType(pvApiCtx, piAddr4)||isIntegerType(pvApiCtx, piAddr4)))
{
Scierror(999,"Not a valid type of value for VocabularySize.\n");
return 0;
}
//Reading the Value of the argument
if(getScalarDouble(pvApiCtx, piAddr4, &vocab_size))
{
Scierror(999,"Not a valid type of value for VocabularySize.\n");
return 0;
}
if(vocab_size < 0)
{
Scierror(999,"Enter a valid value for Vacabulary Size\n");
return 0;
}
i++;
count_vocab += 1;
}
else if(strcmp(arg[0],"StrongestFeatures") == 0)
{
if( count_strength != 0)
{
Scierror(999,"Strength Features has been called twice.\n");
return 0;
}
free(arg);
free(piLen);
sciErr = getVarAddressFromPosition(pvApiCtx, i+1, &piAddr4);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if( !isDoubleType(pvApiCtx, piAddr4) )
{
Scierror(999,"Not a valid type of value for StrongestFeatures.\n");
return 0;
}
//Reading the Value of the argument
if(getScalarDouble(pvApiCtx, piAddr4, &strength))
{
Scierror(999,"Not a valid type of value for StrongestFeatures.\n");
return 0;
}
if( strength<0 || strength>=1 )
{
Scierror(999,"Enter a valid value for Strongest Features (between 0 and 1)\n");
return 0;
}
i++;
count_strength += 1;
}
else if(strcmp(arg[0],"Verbose") == 0)
{
if( count_ver != 0)
{
Scierror(999,"Verbose has been called twice.\n");
return 0;
}
free(arg);
free(piLen);
sciErr = getVarAddressFromPosition(pvApiCtx, i+1, &piAddr4);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if( !(isDoubleType(pvApiCtx, piAddr4)||isIntegerType(pvApiCtx, piAddr4)))
{
Scierror(999,"Not a valid type of value for Verbose.\n");
return 0;
}
//Reading the Value of the argument
if(getScalarDouble(pvApiCtx, piAddr4, &verbose))
{
Scierror(999,"Not a valid type of value for Verbose.\n");
return 0;
}
if( !(verbose == 1|| verbose == 0) )
{
Scierror(999,"Enter a valid value for Verbose (Either 0 or 1)\n");
return 0;
}
i++;
count_ver += 1;
}
else if(strcmp(arg[0],"Upright") == 0)
{
if( count_up != 0)
{
Scierror(999,"Upright has been called twice.\n");
return 0;
}
free(arg);
free(piLen);
sciErr = getVarAddressFromPosition(pvApiCtx, i+1, &piAddr4);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
if( !(isDoubleType(pvApiCtx, piAddr4)||isIntegerType(pvApiCtx, piAddr4)))
{
Scierror(999,"Not a valid type of value for Upright.\n");
return 0;
}
//Reading the Value of the argument
if(getScalarDouble(pvApiCtx, piAddr4, &upright))
{
Scierror(999,"Not a valid type of value for Upright.\n");
return 0;
}
if(!(upright == 1 || upright == 0))
{
Scierror(999,"Enter a valid value for Upright (Either 0 or 1)\n");
return 0;
}
i++;
count_up += 1;
}
else
{
Scierror(999,"Invalid Argument Name\n");
return 0;
}
}
filepath = (char**)malloc(sizeof(char*)*1*1);
filepath[0] = (char*)malloc(sizeof(char)*20);
strcpy(filepath[0],file);
/*int flag=1;
for(int i=0; location[0][0][i]; i++)
{
common = location[0][0][i];
for(int j=0; j<descriptionCount; j++)
{
if(location[j][0][i] != common)
flag = 0;
}
if(flag == 0)
{
common_len = i;
break;
}
}
strncpy(filepath[0], location[0][0], common_len);
strcat(filepath[0], file);
*/
SurfFeatureDetector detector(1, 4, 2, 1, int(upright));
Ptr<DescriptorExtractor> extractor = new SurfDescriptorExtractor(1, 4, 2, 1, int(upright));
if(int(verbose))
{
sciprint("Creating Bag-Of-Features from %d image sets.\n\n",descriptionCount);
for(int i=0; i<descriptionCount; i++)
sciprint("Image set %d: %s\n",i+1,description[i]);
sciprint("\nExtracting SURF Features from each image set.\n\n");
}
for( int i=0; i<descriptionCount; i++)
{
if(int(verbose))
sciprint("Extracting features from %d images in image set %d ...",count[i],i+1);
key_size = 0;
v_key_size = 0;
for( int j=0; j<count[i]; j++)
{
valid_key.clear();
keypoints.clear();
image = imread(location[i][j],0);
detector.detect(image, keypoints);
sort(keypoints.begin(), keypoints.end(), response_comparator);
for( int k=0; k<(keypoints.size()*strength); k++)
{
valid_key.push_back(keypoints[k]);
}
extractor->compute(image, valid_key, feature_des);
featuresUnclustered.push_back(feature_des);
key_size += keypoints.size();
v_key_size += valid_key.size();
}
if(int(verbose))
{
sciprint("done. Extracted %d features.\n",key_size);
sciprint("Keeping %f percent of the strongest features.\n",(strength)*100);
sciprint("Net Extracted features : %d\n\n",v_key_size);
}
}
if(vocab_size > featuresUnclustered.rows)
vocab_size = featuresUnclustered.rows;
TermCriteria tc(CV_TERMCRIT_ITER, 100, 0.001);
int retries = 3;
BOWKMeansTrainer bowTrainer(int(vocab_size), tc, retries, KMEANS_PP_CENTERS);
if(int(verbose))
{
sciprint("Using K-Means Clustering to create a %d word visual vocabulary.\n",int(vocab_size));
sciprint("Number of Features : %d\n",featuresUnclustered.rows);
sciprint("Number of Clusters : %d\n\n",int(vocab_size));
}
dictionary = bowTrainer.cluster(featuresUnclustered);
if(int(verbose))
sciprint("Finished creating Bag-Of-Features\n");
FileStorage fs(filepath[0], FileStorage::WRITE);
fs<<"dictionary"<<dictionary;
fs.release();
sciErr = createList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, 5, &piAddr);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = createMatrixOfStringInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 1, 1, 1, &objectType);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = createMatrixOfStringInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 2, 1, 1, filepath);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = createMatrixOfDoubleInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 3, 1, 1, &vocab_size);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = createMatrixOfDoubleInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 4, 1, 1, &strength);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
sciErr = createMatrixOfDoubleInList(pvApiCtx, nbInputArgument(pvApiCtx) + 1, piAddr, 5, 1, 1, &upright);
if(sciErr.iErr)
{
printError(&sciErr, 0);
return 0;
}
AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
ReturnArguments(pvApiCtx);
return 0;
}
}
|
