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Merged the trunk r8589:8653 - all changes related to build warnings

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This commit is contained in:
Andrey Kamaev
2012-06-15 13:04:17 +00:00
parent 73c152abc4
commit bd0e0b5800
438 changed files with 20374 additions and 19674 deletions
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64
modules/imgproc/src/hough.cpp
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@@ -92,8 +92,6 @@ icvHoughLinesStandard( const CvMat* img, float rho, float theta,
int step, width, height;
int numangle, numrho;
int total = 0;
float ang;
int r, n;
int i, j;
float irho = 1 / rho;
double scale;
@@ -114,10 +112,11 @@ icvHoughLinesStandard( const CvMat* img, float rho, float theta,
_tabCos.allocate(numangle);
int *accum = _accum, *sort_buf = _sort_buf;
float *tabSin = _tabSin, *tabCos = _tabCos;
memset( accum, 0, sizeof(accum[0]) * (numangle+2) * (numrho+2) );
for( ang = 0, n = 0; n < numangle; ang += theta, n++ )
float ang = 0;
for(int n = 0; n < numangle; ang += theta, n++ )
{
tabSin[n] = (float)(sin(ang) * irho);
tabCos[n] = (float)(cos(ang) * irho);
@@ -128,17 +127,17 @@ icvHoughLinesStandard( const CvMat* img, float rho, float theta,
for( j = 0; j < width; j++ )
{
if( image[i * step + j] != 0 )
for( n = 0; n < numangle; n++ )
for(int n = 0; n < numangle; n++ )
{
r = cvRound( j * tabCos[n] + i * tabSin[n] );
int r = cvRound( j * tabCos[n] + i * tabSin[n] );
r += (numrho - 1) / 2;
accum[(n+1) * (numrho+2) + r+1]++;
}
}
// stage 2. find local maximums
for( r = 0; r < numrho; r++ )
for( n = 0; n < numangle; n++ )
for(int r = 0; r < numrho; r++ )
for(int n = 0; n < numangle; n++ )
{
int base = (n+1) * (numrho+2) + r+1;
if( accum[base] > threshold &&
@@ -170,10 +169,6 @@ icvHoughLinesStandard( const CvMat* img, float rho, float theta,
* Multi-Scale variant of Classical Hough Transform *
\****************************************************************************************/
#if defined _MSC_VER && _MSC_VER >= 1200
#pragma warning( disable: 4714 )
#endif
//DECLARE_AND_IMPLEMENT_LIST( _index, h_ );
IMPLEMENT_LIST( _index, h_ )
@@ -249,7 +244,7 @@ icvHoughLinesSDiv( const CvMat* img,
/* Precalculating sin */
_sinTable.resize( 5 * tn * stn );
sinTable = &_sinTable[0];
for( index = 0; index < 5 * tn * stn; index++ )
sinTable[index] = (float)cos( stheta * index * 0.2f );
@@ -449,7 +444,7 @@ icvHoughLinesSDiv( const CvMat* img,
h_get_next__index( &pos );
}
}
h_destroy_list__index(list);
}
@@ -529,7 +524,7 @@ icvHoughLinesProbabilistic( CvMat* image,
// choose random point out of the remaining ones
int idx = cvRandInt(&rng) % count;
int max_val = threshold-1, max_n = 0;
CvPoint* pt = (CvPoint*)cvGetSeqElem( seq, idx );
CvPoint* point = (CvPoint*)cvGetSeqElem( seq, idx );
CvPoint line_end[2] = {{0,0}, {0,0}};
float a, b;
int* adata = (int*)accum.data;
@@ -537,11 +532,11 @@ icvHoughLinesProbabilistic( CvMat* image,
int good_line;
const int shift = 16;
i = pt->y;
j = pt->x;
i = point->y;
j = point->x;
// "remove" it by overriding it with the last element
*pt = *(CvPoint*)cvGetSeqElem( seq, count-1 );
*point = *(CvPoint*)cvGetSeqElem( seq, count-1 );
// check if it has been excluded already (i.e. belongs to some other line)
if( !mdata0[i*width + j] )
@@ -756,7 +751,7 @@ cvHoughLines2( CvArr* src_image, void* lineStorage, int method,
}
else
CV_Error( CV_StsBadArg, "Destination is not CvMemStorage* nor CvMat*" );
iparam1 = cvRound(param1);
iparam2 = cvRound(param2);
@@ -842,7 +837,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
acols = accum->cols - 2;
adata = accum->data.i;
astep = accum->step/sizeof(adata[0]);
// Accumulate circle evidence for each edge pixel
// Accumulate circle evidence for each edge pixel
for( y = 0; y < rows; y++ )
{
const uchar* edges_row = edges->data.ptr + y*edges->step;
@@ -852,7 +847,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
for( x = 0; x < cols; x++ )
{
float vx, vy;
int sx, sy, x0, y0, x1, y1, r, k;
int sx, sy, x0, y0, x1, y1, r;
CvPoint pt;
vx = dx_row[x];
@@ -868,8 +863,8 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
x0 = cvRound((x*idp)*ONE);
y0 = cvRound((y*idp)*ONE);
// Step from min_radius to max_radius in both directions of the gradient
for( k = 0; k < 2; k++ )
// Step from min_radius to max_radius in both directions of the gradient
for(int k1 = 0; k1 < 2; k1++ )
{
x1 = x0 + min_radius * sx;
y1 = y0 + min_radius * sy;
@@ -894,7 +889,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
nz_count = nz->total;
if( !nz_count )
return;
//Find possible circle centers
//Find possible circle centers
for( y = 1; y < arows - 1; y++ )
{
for( x = 1; x < acols - 1; x++ )
@@ -924,19 +919,19 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
dr = dp;
min_dist = MAX( min_dist, dp );
min_dist *= min_dist;
// For each found possible center
// Estimate radius and check support
// For each found possible center
// Estimate radius and check support
for( i = 0; i < centers->total; i++ )
{
int ofs = *(int*)cvGetSeqElem( centers, i );
y = ofs/(acols+2);
x = ofs - (y)*(acols+2);
//Calculate circle's center in pixels
//Calculate circle's center in pixels
float cx = (float)((x + 0.5f)*dp), cy = (float)(( y + 0.5f )*dp);
float start_dist, dist_sum;
float r_best = 0, c[3];
float r_best = 0;
int max_count = 0;
// Check distance with previously detected circles
// Check distance with previously detected circles
for( j = 0; j < circles->total; j++ )
{
float* c = (float*)cvGetSeqElem( circles, j );
@@ -946,7 +941,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
if( j < circles->total )
continue;
// Estimate best radius
// Estimate best radius
cvStartReadSeq( nz, &reader );
for( j = k = 0; j < nz_count; j++ )
{
@@ -982,7 +977,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
{
float r_cur = ddata[sort_buf[(j + start_idx)/2]];
if( (start_idx - j)*r_best >= max_count*r_cur ||
(r_best < FLT_EPSILON && start_idx - j >= max_count) )
(r_best < FLT_EPSILON && start_idx - j >= max_count) )
{
r_best = r_cur;
max_count = start_idx - j;
@@ -993,9 +988,10 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
}
dist_sum += d;
}
// Check if the circle has enough support
// Check if the circle has enough support
if( max_count > acc_threshold )
{
float c[3];
c[0] = cx;
c[1] = cy;
c[2] = (float)r_best;
@@ -1103,9 +1099,9 @@ static void seqToMat(const CvSeq* seq, OutputArray _arr)
else
_arr.release();
}
}
void cv::HoughLines( InputArray _image, OutputArray _lines,
double rho, double theta, int threshold,
double srn, double stn )