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fixed cascade detection on images of size equal to feature size (#1070)

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This commit is contained in:
Maria Dimashova
2011-06-10 12:19:23 +00:00
parent 883b87c04f
commit eace415f57
2 changed files with 8 additions and 8 deletions
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6
modules/objdetect/src/haar.cpp
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@@ -673,8 +673,8 @@ cvRunHaarClassifierCascadeSum( const CvHaarClassifierCascade* _cascade,
"Use cvSetImagesForHaarClassifierCascade" );
if( pt.x < 0 || pt.y < 0 ||
pt.x + _cascade->real_window_size.width >= cascade->sum.width-2 ||
pt.y + _cascade->real_window_size.height >= cascade->sum.height-2 )
pt.x + _cascade->real_window_size.width >= cascade->sum.width ||
pt.y + _cascade->real_window_size.height >= cascade->sum.height )
return -1;
p_offset = pt.y * (cascade->sum.step/sizeof(sumtype)) + pt.x;
@@ -1095,7 +1095,7 @@ cvHaarDetectObjectsForROC( const CvArr* _img,
CvSize winSize = { cvRound(winSize0.width*factor),
cvRound(winSize0.height*factor) };
CvSize sz = { cvRound( img->cols/factor ), cvRound( img->rows/factor ) };
CvSize sz1 = { sz.width - winSize0.width, sz.height - winSize0.height };
CvSize sz1 = { sz.width - winSize0.width + 1, sz.height - winSize0.height + 1 };
CvRect equRect = { icv_object_win_border, icv_object_win_border,
winSize0.width - icv_object_win_border*2,