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Fixed build warnings (including error in FAST)

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This commit is contained in:
Andrey Kamaev 2012-08-06 15:49:07 +04:00
parent fdc48abd18
commit 9981b283a6
4 changed files with 32 additions and 29 deletions
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5
modules/contrib/src/stereovar.cpp
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@ -67,11 +67,12 @@ StereoVar::~StereoVar()
static Mat diffX(Mat &src)
{
register int x, y, cols = src.cols - 1;
int cols = src.cols - 1;
Mat dst(src.size(), src.type());
for(y = 0; y < src.rows; y++){
for(int y = 0; y < src.rows; y++){
const float* pSrc = src.ptr<float>(y);
float* pDst = dst.ptr<float>(y);
int x = 0;
#if CV_SSE2
for (x = 0; x <= cols - 8; x += 8) {
__m128 a0 = _mm_loadu_ps(pSrc + x);

25
modules/features2d/src/fast.cpp
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@ -9,16 +9,16 @@ Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
*Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
*Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
*Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
*Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
*Neither the name of the University of Cambridge nor the names of
its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
*Neither the name of the University of Cambridge nor the names of
its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
@ -350,7 +350,7 @@ int cornerScore<8>(const uchar* ptr, const int pixel[], int threshold)
}
int b0 = -a0;
for( k = 0; k < 12; k += 2 )
for( k = 0; k < 8; k += 2 )
{
int b = std::max((int)d[k+1], (int)d[k+2]);
b = std::max(b, (int)d[k+3]);
@ -375,7 +375,10 @@ template<int patternSize>
void FAST_t(InputArray _img, std::vector<KeyPoint>& keypoints, int threshold, bool nonmax_suppression)
{
Mat img = _img.getMat();
const int K = patternSize/2, N = patternSize + K + 1, quarterPatternSize = patternSize/4;
const int K = patternSize/2, N = patternSize + K + 1;
#if CV_SSE2
const int quarterPatternSize = patternSize/4;
#endif
int i, j, k, pixel[25];
makeOffsets(pixel, (int)img.step, patternSize);
for(k = patternSize; k < 25; k++)
@ -585,7 +588,7 @@ FastFeatureDetector::FastFeatureDetector( int _threshold, bool _nonmaxSuppressio
FastFeatureDetector::FastFeatureDetector( int _threshold, bool _nonmaxSuppression, int _type )
: threshold(_threshold), nonmaxSuppression(_nonmaxSuppression), type(_type)
{}
void FastFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
Mat grayImage = image;

28
modules/imgproc/src/smooth.cpp
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@ -1298,17 +1298,17 @@ public:
maxk(_maxk), space_ofs(_space_ofs), space_weight(_space_weight), color_weight(_color_weight)
{
}
virtual void operator() (const Range& range) const
{
int i, j, cn = dest->channels(), k;
Size size = dest->size();
for( i = range.start; i < range.end; i++ )
{
const uchar* sptr = temp->ptr(i+radius) + radius*cn;
uchar* dptr = dest->ptr(i);
if( cn == 1 )
{
for( j = 0; j < size.width; j++ )
@ -1351,10 +1351,10 @@ public:
}
}
}
private:
const Mat *temp;
Mat *dest;
const Mat *temp;
int radius, maxk, *space_ofs;
float *space_weight, *color_weight;
};
@ -1367,40 +1367,40 @@ bilateralFilter_8u( const Mat& src, Mat& dst, int d,
int cn = src.channels();
int i, j, maxk, radius;
Size size = src.size();
CV_Assert( (src.type() == CV_8UC1 || src.type() == CV_8UC3) &&
src.type() == dst.type() && src.size() == dst.size() &&
src.data != dst.data );
if( sigma_color <= 0 )
sigma_color = 1;
if( sigma_space <= 0 )
sigma_space = 1;
double gauss_color_coeff = -0.5/(sigma_color*sigma_color);
double gauss_space_coeff = -0.5/(sigma_space*sigma_space);
if( d <= 0 )
radius = cvRound(sigma_space*1.5);
else
radius = d/2;
radius = MAX(radius, 1);
d = radius*2 + 1;
Mat temp;
copyMakeBorder( src, temp, radius, radius, radius, radius, borderType );
vector<float> _color_weight(cn*256);
vector<float> _space_weight(d*d);
vector<int> _space_ofs(d*d);
float* color_weight = &_color_weight[0];
float* space_weight = &_space_weight[0];
int* space_ofs = &_space_ofs[0];
// initialize color-related bilateral filter coefficients
for( i = 0; i < 256*cn; i++ )
color_weight[i] = (float)std::exp(i*i*gauss_color_coeff);
// initialize space-related bilateral filter coefficients
for( i = -radius, maxk = 0; i <= radius; i++ )
for( j = -radius; j <= radius; j++ )
@ -1411,7 +1411,7 @@ bilateralFilter_8u( const Mat& src, Mat& dst, int d,
space_weight[maxk] = (float)std::exp(r*r*gauss_space_coeff);
space_ofs[maxk++] = (int)(i*temp.step + j*cn);
}
BilateralFilter_8u_Invoker body(dst, temp, radius, maxk, space_ofs, space_weight, color_weight);
parallel_for_(Range(0, size.height), body);
}

3
modules/video/src/bgfg_gmg.cpp
View File

@ -440,8 +440,7 @@ bool BackgroundSubtractorGMG::HistogramFeatureGMG::operator ==(HistogramFeatureG
std::vector<size_t>::iterator color_a;
std::vector<size_t>::iterator color_b;
std::vector<size_t>::iterator color_a_end = this->color.end();
std::vector<size_t>::iterator color_b_end = rhs.color.end();
for (color_a = color.begin(),color_b =rhs.color.begin();color_a!=color_a_end;++color_a,++color_b)
for (color_a = color.begin(), color_b = rhs.color.begin(); color_a != color_a_end; ++color_a, ++color_b)
{
if (*color_a != *color_b)
{