Fixed mingw build.

This commit is contained in:
Andrey Kamaev
2012-06-08 03:15:08 +00:00
parent bee982b492
commit f62028dc16
41 changed files with 624 additions and 585 deletions

View File

@@ -446,15 +446,15 @@ static int getPathOfFeaturePyramid(IplImage * image,
CvLSVMFeatureMap *map;
IplImage *scaleTmp;
float scale;
int i, err;
int i;
for(i = 0; i < numStep; i++)
{
scale = 1.0f / powf(step, (float)i);
scaleTmp = resize_opencv (image, scale);
err = getFeatureMaps(scaleTmp, sideLength, &map);
err = normalizeAndTruncate(map, VAL_OF_TRUNCATE);
err = PCAFeatureMaps(map);
getFeatureMaps(scaleTmp, sideLength, &map);
normalizeAndTruncate(map, VAL_OF_TRUNCATE);
PCAFeatureMaps(map);
(*maps)->pyramid[startIndex + i] = map;
cvReleaseImage(&scaleTmp);
}/*for(i = 0; i < numStep; i++)*/

View File

@@ -560,7 +560,7 @@ int searchObjectThresholdSomeComponents(const CvLSVMFeaturePyramid *H,
float **score, int *kPoints,
int numThreads)
{
int error = 0;
//int error = 0;
int i, j, s, f, componentIndex;
unsigned int maxXBorder, maxYBorder;
CvPoint **pointsArr, **oppPointsArr, ***partsDisplacementArr;
@@ -576,14 +576,14 @@ int searchObjectThresholdSomeComponents(const CvLSVMFeaturePyramid *H,
partsDisplacementArr = (CvPoint ***)malloc(sizeof(CvPoint **) * kComponents);
// Getting maximum filter dimensions
error = getMaxFilterDims(filters, kComponents, kPartFilters, &maxXBorder, &maxYBorder);
/*error = */getMaxFilterDims(filters, kComponents, kPartFilters, &maxXBorder, &maxYBorder);
componentIndex = 0;
*kPoints = 0;
// For each component perform searching
for (i = 0; i < kComponents; i++)
{
#ifdef HAVE_TBB
error = searchObjectThreshold(H, &(filters[componentIndex]), kPartFilters[i],
/*error = */searchObjectThreshold(H, &(filters[componentIndex]), kPartFilters[i],
b[i], maxXBorder, maxYBorder, scoreThreshold,
&(pointsArr[i]), &(levelsArr[i]), &(kPointsArr[i]),
&(scoreArr[i]), &(partsDisplacementArr[i]), numThreads);

View File

@@ -534,12 +534,12 @@ void parserPFilterS (FILE * xmlf, int p, CvLSVMFilterObject *** model, int *last
int tag;
int tagVal;
char ch;
int i,j;
char buf[1024];
int /*i,*/j;
//char buf[1024];
char tagBuf[1024];
//printf("<PartFilters>\n");
i = 0;
//i = 0;
j = 0;
st = 0;
tag = 0;
@@ -566,10 +566,10 @@ void parserPFilterS (FILE * xmlf, int p, CvLSVMFilterObject *** model, int *last
N_path++;
}
tag = 0;
i = 0;
//i = 0;
}else{
if((tag == 0)&& (st == 1)){
buf[i] = ch; i++;
//buf[i] = ch; i++;
}else{
tagBuf[j] = ch; j++;
}
@@ -582,12 +582,12 @@ void parserComp (FILE * xmlf, int p, int *N_comp, CvLSVMFilterObject *** model,
int tag;
int tagVal;
char ch;
int i,j;
char buf[1024];
int /*i,*/j;
//char buf[1024];
char tagBuf[1024];
//printf("<Component> %d\n", *N_comp);
i = 0;
//i = 0;
j = 0;
st = 0;
tag = 0;
@@ -616,10 +616,10 @@ void parserComp (FILE * xmlf, int p, int *N_comp, CvLSVMFilterObject *** model,
parserPFilterS (xmlf, p, model, last, max);
}
tag = 0;
i = 0;
//i = 0;
}else{
if((tag == 0)&& (st == 1)){
buf[i] = ch; i++;
//buf[i] = ch; i++;
}else{
tagBuf[j] = ch; j++;
}
@@ -726,12 +726,12 @@ void parserModel(FILE * xmlf, CvLSVMFilterObject *** model, int *last, int *max,
}//namespace
int LSVMparser(const char * filename, CvLSVMFilterObject *** model, int *last, int *max, int **comp, float **b, int *count, float * score){
int st = 0;
//int st = 0;
int tag;
char ch;
int i,j;
int /*i,*/j;
FILE *xmlf;
char buf[1024];
//char buf[1024];
char tagBuf[1024];
(*max) = 10;
@@ -744,9 +744,9 @@ int LSVMparser(const char * filename, CvLSVMFilterObject *** model, int *last, i
if(xmlf == NULL)
return LSVM_PARSER_FILE_NOT_FOUND;
i = 0;
//i = 0;
j = 0;
st = 0;
//st = 0;
tag = 0;
while(!feof(xmlf)){
ch = (char)fgetc( xmlf );
@@ -757,7 +757,7 @@ int LSVMparser(const char * filename, CvLSVMFilterObject *** model, int *last, i
}else {
if(ch == '>'){
tag = 0;
i = 0;
//i = 0;
tagBuf[j ] = ch;
tagBuf[j + 1] = '\0';
if(getTeg(tagBuf) == MODEL){
@@ -765,7 +765,7 @@ int LSVMparser(const char * filename, CvLSVMFilterObject *** model, int *last, i
}
}else{
if(tag == 0){
buf[i] = ch; i++;
//buf[i] = ch; i++;
}else{
tagBuf[j] = ch; j++;
}

View File

@@ -23,7 +23,7 @@
*/
int convolution(const CvLSVMFilterObject *Fi, const CvLSVMFeatureMap *map, float *f)
{
int n1, m1, n2, m2, p, size, diff1, diff2;
int n1, m1, n2, m2, p, /*size,*/ diff1, diff2;
int i1, i2, j1, j2, k;
float tmp_f1, tmp_f2, tmp_f3, tmp_f4;
float *pMap = NULL;
@@ -37,7 +37,7 @@ int convolution(const CvLSVMFilterObject *Fi, const CvLSVMFeatureMap *map, float
diff1 = n1 - n2 + 1;
diff2 = m1 - m2 + 1;
size = diff1 * diff2;
//size = diff1 * diff2;
for (j1 = diff2 - 1; j1 >= 0; j1--)
{
@@ -333,7 +333,7 @@ int filterDispositionLevel(const CvLSVMFilterObject *Fi, const CvLSVMFeatureMap
float **scoreFi,
int **pointsX, int **pointsY)
{
int n1, m1, n2, m2, p, size, diff1, diff2;
int n1, m1, n2, m2, /*p,*/ size, diff1, diff2;
float *f;
int i1, j1;
int res;
@@ -342,7 +342,7 @@ int filterDispositionLevel(const CvLSVMFilterObject *Fi, const CvLSVMFeatureMap
m1 = pyramid->sizeX;
n2 = Fi->sizeY;
m2 = Fi->sizeX;
p = pyramid->numFeatures;
//p = pyramid->numFeatures;
(*scoreFi) = NULL;
(*pointsX) = NULL;
(*pointsY) = NULL;
@@ -418,7 +418,7 @@ int filterDispositionLevelFFT(const CvLSVMFilterObject *Fi, const CvLSVMFftImage
float **scoreFi,
int **pointsX, int **pointsY)
{
int n1, m1, n2, m2, p, size, diff1, diff2;
int n1, m1, n2, m2, /*p,*/ size, diff1, diff2;
float *f;
int i1, j1;
int res;
@@ -428,7 +428,7 @@ int filterDispositionLevelFFT(const CvLSVMFilterObject *Fi, const CvLSVMFftImage
m1 = featMapImage->dimX;
n2 = Fi->sizeY;
m2 = Fi->sizeX;
p = featMapImage->numFeatures;
//p = featMapImage->numFeatures;
(*scoreFi) = NULL;
(*pointsX) = NULL;
(*pointsY) = NULL;
@@ -611,7 +611,7 @@ int maxFunctionalScoreFixedLevel(const CvLSVMFilterObject **all_F, int n,
float *score, CvPoint **points,
int *kPoints, CvPoint ***partsDisplacement)
{
int i, j, k, dimX, dimY, nF0, mF0, p;
int i, j, k, dimX, dimY, nF0, mF0/*, p*/;
int diff1, diff2, index, last, partsLevel;
CvLSVMFilterDisposition **disposition;
float *f;
@@ -639,7 +639,7 @@ int maxFunctionalScoreFixedLevel(const CvLSVMFilterObject **all_F, int n,
dimY = H->pyramid[level]->sizeY;
// Number of features
p = H->pyramid[level]->numFeatures;
//p = H->pyramid[level]->numFeatures;
// Getting dimension of root filter
nF0 = all_F[0]->sizeY;
@@ -860,7 +860,7 @@ int thresholdFunctionalScoreFixedLevel(const CvLSVMFilterObject **all_F, int n,
float **score, CvPoint **points, int *kPoints,
CvPoint ***partsDisplacement)
{
int i, j, k, dimX, dimY, nF0, mF0, p;
int i, j, k, dimX, dimY, nF0, mF0/*, p*/;
int diff1, diff2, index, last, partsLevel;
CvLSVMFilterDisposition **disposition;
float *f;
@@ -887,7 +887,7 @@ int thresholdFunctionalScoreFixedLevel(const CvLSVMFilterObject **all_F, int n,
dimY = H->pyramid[level]->sizeY;
// Number of features
p = H->pyramid[level]->numFeatures;
//p = H->pyramid[level]->numFeatures;
// Getting dimension of root filter
nF0 = all_F[0]->sizeY;