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Normalize line endings and whitespace

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This commit is contained in:
OpenCV Buildbot
2012-10-17 03:18:30 +04:00
committed by Andrey Kamaev
parent 69020da607
commit 04384a71e4
1516 changed files with 258846 additions and 258162 deletions
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42
modules/legacy/src/bgfg_acmmm2003.cpp
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@@ -44,7 +44,7 @@
//
// Foreground Object Detection from Videos Containing Complex Background
// Li, Huan, Gu, Tian 2003 9p
// http://muq.org/~cynbe/bib/foreground-object-detection-from-videos-containing-complex-background.pdf
// http://muq.org/~cynbe/bib/foreground-object-detection-from-videos-containing-complex-background.pdf
#include "precomp.hpp"
@@ -61,7 +61,7 @@ static double* _cv_max_element( double* start, double* end )
for( ; start != end; ++start) {
if (*p < *start) p = start;
}
}
return p;
}
@@ -80,11 +80,11 @@ CV_IMPL CvBGStatModel*
cvCreateFGDStatModel( IplImage* first_frame, CvFGDStatModelParams* parameters )
{
CvFGDStatModel* p_model = 0;
CV_FUNCNAME( "cvCreateFGDStatModel" );
__BEGIN__;
int i, j, k, pixel_count, buf_size;
CvFGDStatModelParams params;
@@ -131,11 +131,11 @@ cvCreateFGDStatModel( IplImage* first_frame, CvFGDStatModelParams* parameters )
// Initialize storage pools:
pixel_count = first_frame->width * first_frame->height;
buf_size = pixel_count*sizeof(p_model->pixel_stat[0]);
CV_CALL( p_model->pixel_stat = (CvBGPixelStat*)cvAlloc(buf_size) );
memset( p_model->pixel_stat, 0, buf_size );
buf_size = pixel_count*params.N2c*sizeof(p_model->pixel_stat[0].ctable[0]);
CV_CALL( p_model->pixel_stat[0].ctable = (CvBGPixelCStatTable*)cvAlloc(buf_size) );
memset( p_model->pixel_stat[0].ctable, 0, buf_size );
@@ -184,7 +184,7 @@ icvReleaseFGDStatModel( CvFGDStatModel** _model )
CV_FUNCNAME( "icvReleaseFGDStatModel" );
__BEGIN__;
if( !_model )
CV_ERROR( CV_StsNullPtr, "" );
@@ -248,9 +248,9 @@ cvChangeDetection( IplImage* prev_frame,
// Create histogram:
long HISTOGRAM[PIXELRANGE];
long HISTOGRAM[PIXELRANGE];
for (i=0 ; i<PIXELRANGE; i++) HISTOGRAM[i]=0;
for (y=0 ; y<curr_frame->height ; y++)
{
uchar* rowStart1 = (uchar*)curr_frame->imageData + y * curr_frame->widthStep + b;
@@ -358,7 +358,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
{
if( ((uchar*)model->Fbd->imageData)[i*mask_step+j] || ((uchar*)model->Ftd->imageData)[i*mask_step+j] )
{
float Pb = 0;
float Pb = 0;
float Pv = 0;
float Pvb = 0;
@@ -366,7 +366,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
CvBGPixelCStatTable* ctable = stat->ctable;
CvBGPixelCCStatTable* cctable = stat->cctable;
uchar* curr_data = (uchar*)(curr_frame->imageData) + i*curr_frame->widthStep + j*3;
uchar* prev_data = (uchar*)(prev_frame->imageData) + i*prev_frame->widthStep + j*3;
@@ -375,11 +375,11 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
// Is it a motion pixel?
if( ((uchar*)model->Ftd->imageData)[i*mask_step+j] )
{
if( !stat->is_trained_dyn_model ) {
if( !stat->is_trained_dyn_model ) {
val = 1;
} else {
} else {
// Compare with stored CCt vectors:
for( k = 0; PV_CC(k) > model->params.alpha2 && k < model->params.N1cc; k++ )
@@ -431,17 +431,17 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
cvMorphologyEx( model->foreground, model->foreground, 0, 0, CV_MOP_OPEN, model->params.perform_morphing );
cvMorphologyEx( model->foreground, model->foreground, 0, 0, CV_MOP_CLOSE, model->params.perform_morphing );
}
if( model->params.minArea > 0 || model->params.is_obj_without_holes ){
// Discard under-size foreground regions:
//
//
cvFindContours( model->foreground, model->storage, &first_seq, sizeof(CvContour), CV_RETR_LIST );
for( seq = first_seq; seq; seq = seq->h_next )
{
CvContour* cnt = (CvContour*)seq;
if( cnt->rect.width * cnt->rect.height < model->params.minArea ||
if( cnt->rect.width * cnt->rect.height < model->params.minArea ||
(model->params.is_obj_without_holes && CV_IS_SEQ_HOLE(seq)) )
{
// Delete under-size contour:
@@ -461,7 +461,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
{
region_count++;
}
}
}
model->foreground_regions = first_seq;
cvZero(model->foreground);
cvDrawContours(model->foreground, first_seq, CV_RGB(0, 0, 255), CV_RGB(0, 0, 255), 10, -1);
@@ -586,7 +586,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
sum2 += PVB_CC(k);
}
if( sum1 > model->params.T ) stat->is_trained_dyn_model = 1;
diff = sum1 - stat->Pbcc * sum2;
// Update stat table:
if( diff > model->params.T )
@@ -628,7 +628,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
PVB_C(k) = 0;
continue;
}
dist = 0;
for( l = 0; l < 3; l++ )
{
@@ -706,7 +706,7 @@ icvUpdateFGDStatModel( IplImage* curr_frame, CvFGDStatModel* model, double )
if( !((uchar*)model->foreground->imageData)[i*mask_step+j])
{
uchar* ptr = ((uchar*)model->background->imageData) + i*model->background->widthStep+j*3;
if( !((uchar*)model->Ftd->imageData)[i*mask_step+j] &&
!((uchar*)model->Fbd->imageData)[i*mask_step+j] )
{