fixed some GCC 4.4 warnings

This commit is contained in:
Vadim Pisarevsky 2010-11-20 12:05:28 +00:00
parent 752c4bc48b
commit de4f1aeb06
7 changed files with 17 additions and 20 deletions

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@ -562,10 +562,10 @@ if (WITH_TBB)
if (TBB_FOUND)
set(HAVE_TBB 1)
if(NOT "${TBB_INCLUDE_DIRS}" STREQUAL "")
include_directories("${TBB_INCLUDE_DIRS}")
if(NOT ${TBB_INCLUDE_DIRS} STREQUAL "")
include_directories(${TBB_INCLUDE_DIRS})
endif()
link_directories("${TBB_LIBRARY_DIRS}")
link_directories(${TBB_LIBRARY_DIRS})
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${TBB_LIBRARIES})
else()
set(TBB_DEFAULT_INCLUDE_DIRS

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@ -1454,8 +1454,7 @@ void SVD::backSubst( const Mat& w, const Mat& u, const Mat& vt, const Mat& rhs,
AutoBuffer<double> buffer(nb);
CV_Assert( u.data && vt.data && w.data );
if( rhs.data )
CV_Assert( rhs.type() == type && rhs.rows == m );
CV_Assert( rhs.data == 0 || (rhs.type() == type && rhs.rows == m) );
dst.create( n, nb, type );
if( type == CV_32F )

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@ -685,8 +685,11 @@ void extractImageCOI(const CvArr* arr, Mat& ch, int coi)
{
Mat mat = cvarrToMat(arr, false, true, 1);
ch.create(mat.dims, mat.size, mat.depth());
if(coi < 0)
CV_Assert( CV_IS_IMAGE(arr) && (coi = cvGetImageCOI((const IplImage*)arr)-1) >= 0 );
if(coi < 0)
{
CV_Assert( CV_IS_IMAGE(arr) );
coi = cvGetImageCOI((const IplImage*)arr)-1;
}
CV_Assert(0 <= coi && coi < mat.channels());
int _pairs[] = { coi, 0 };
mixChannels( &mat, 1, &ch, 1, _pairs, 1 );
@ -695,8 +698,11 @@ void extractImageCOI(const CvArr* arr, Mat& ch, int coi)
void insertImageCOI(const Mat& ch, CvArr* arr, int coi)
{
Mat mat = cvarrToMat(arr, false, true, 1);
if(coi < 0)
CV_Assert( CV_IS_IMAGE(arr) && (coi = cvGetImageCOI((const IplImage*)arr)-1) >= 0 );
if(coi < 0)
{
CV_Assert( CV_IS_IMAGE(arr) );
coi = cvGetImageCOI((const IplImage*)arr)-1;
}
CV_Assert(ch.size == mat.size && ch.depth() == mat.depth() && 0 <= coi && coi < mat.channels());
int _pairs[] = { 0, coi };
mixChannels( &ch, 1, &mat, 1, _pairs, 1 );

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@ -57,8 +57,7 @@ void goodFeaturesToTrack( const Mat& image, vector<Point2f>& corners,
{
CV_Assert( qualityLevel > 0 && minDistance >= 0 && maxCorners >= 0 );
if( mask.data )
CV_Assert( mask.type() == CV_8UC1 && mask.size() == image.size() );
CV_Assert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == image.size()) );
Mat eig, tmp;
if( useHarrisDetector )

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@ -117,8 +117,7 @@ static void histPrepareImages( const Mat* images, int nimages, const int* channe
Size& imsize, vector<double>& uniranges )
{
int i, j, c;
if(!channels)
CV_Assert( nimages == dims );
CV_Assert( channels != 0 || nimages == dims );
imsize = images[0].size();
int depth = images[0].depth(), esz1 = (int)images[0].elemSize1();

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@ -427,7 +427,7 @@ float CvKNearest::find_nearest( const Mat& _samples, int k, Mat* _results,
{
if(!(_results->data && (_results->type() == CV_32F ||
(_results->type() == CV_32S && regression)) &&
(_results->cols == 1 || _results->rows == 1) ||
(_results->cols == 1 || _results->rows == 1) &&
_results->cols + _results->rows - 1 == _samples.rows) )
_results->create(_samples.rows, 1, CV_32F);
presults = &(results = *_results);

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@ -76,8 +76,6 @@ public:
void allocate(int dims, const int* sizes, int type, int*& refcount,
uchar*& datastart, uchar*& data, size_t* step)
{
static int ncalls = 0;
int depth = CV_MAT_DEPTH(type);
int cn = CV_MAT_CN(type);
const int f = (int)(sizeof(size_t)/8);
@ -108,8 +106,6 @@ public:
void deallocate(int* refcount, uchar* datastart, uchar* data)
{
static int ncalls = 0;
if( !refcount )
return;
PyObject* o = pyObjectFromRefcount(refcount);
@ -124,8 +120,6 @@ enum { ARG_NONE = 0, ARG_MAT = 1, ARG_SCALAR = 2 };
static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>", bool allowND=true)
{
static int call_idx = 0;
if(!o || o == Py_None)
{
if( !m.data )