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Some changes to make VS2010 compiler happy.

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This commit is contained in:
Yuriy Obukh
2017-06-02 23:47:04 +03:00
parent 27f6d4e78e
commit 41559d7481
8 changed files with 14 additions and 14 deletions
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4
modules/optflow/perf/opencl/perf_dis_optflow.cpp
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@@ -92,12 +92,12 @@ void MakeArtificialExample(UMat &dst_frame1, UMat &dst_frame2)
int OF_scale = 6;
double sigma = dst_frame1.cols / 300;
UMat tmp(Size(dst_frame1.cols / (int)pow(2, src_scale), dst_frame1.rows / (int)pow(2, src_scale)), CV_8U);
UMat tmp(Size(dst_frame1.cols / (1 << src_scale), dst_frame1.rows / (1 << src_scale)), CV_8U);
randu(tmp, 0, 255);
resize(tmp, dst_frame1, dst_frame1.size(), 0.0, 0.0, INTER_LINEAR);
resize(tmp, dst_frame2, dst_frame2.size(), 0.0, 0.0, INTER_LINEAR);
Mat displacement_field(Size(dst_frame1.cols / (int)pow(2, OF_scale), dst_frame1.rows / (int)pow(2, OF_scale)),
Mat displacement_field(Size(dst_frame1.cols / (1 << OF_scale), dst_frame1.rows / (1 << OF_scale)),
CV_32FC2);
randn(displacement_field, 0.0, sigma);
resize(displacement_field, displacement_field, dst_frame2.size(), 0.0, 0.0, INTER_CUBIC);

4
modules/optflow/perf/perf_disflow.cpp
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@@ -86,12 +86,12 @@ void MakeArtificialExample(Mat &dst_frame1, Mat &dst_frame2)
int OF_scale = 6;
double sigma = dst_frame1.cols / 300;
Mat tmp(Size(dst_frame1.cols / (int)pow(2, src_scale), dst_frame1.rows / (int)pow(2, src_scale)), CV_8U);
Mat tmp(Size(dst_frame1.cols / (1 << src_scale), dst_frame1.rows / (1 << src_scale)), CV_8U);
randu(tmp, 0, 255);
resize(tmp, dst_frame1, dst_frame1.size(), 0.0, 0.0, INTER_LINEAR);
resize(tmp, dst_frame2, dst_frame2.size(), 0.0, 0.0, INTER_LINEAR);
Mat displacement_field(Size(dst_frame1.cols / (int)pow(2, OF_scale), dst_frame1.rows / (int)pow(2, OF_scale)),
Mat displacement_field(Size(dst_frame1.cols / (1 << OF_scale), dst_frame1.rows / (1 << OF_scale)),
CV_32FC2);
randn(displacement_field, 0.0, sigma);
resize(displacement_field, displacement_field, dst_frame2.size(), 0.0, 0.0, INTER_CUBIC);

2
modules/optflow/src/sparse_matching_gpc.cpp
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@@ -570,7 +570,7 @@ bool GPCTree::trainNode( size_t nodeId, SIter begin, SIter end, unsigned depth )
localBestScore = score;
else
{
const double beta = simulatedAnnealingTemperatureCoef * std::sqrt( i ) / ( nSamples * ( scoreGainPos + scoreGainNeg ) );
const double beta = simulatedAnnealingTemperatureCoef * std::sqrt( static_cast<float>(i) ) / ( nSamples * ( scoreGainPos + scoreGainNeg ) );
if ( rng.uniform( 0.0, 1.0 ) > std::exp( -beta * ( localBestScore - score) ) )
coef[pos] = randomModification;
}

8
modules/optflow/test/test_OF_reproducibility.cpp
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@@ -100,8 +100,8 @@ TEST_P(DenseOpticalFlow_DIS, MultithreadReproducibility)
// resulting flow should be within the frame bounds:
double min_val, max_val;
minMaxLoc(resMultiThread, &min_val, &max_val);
EXPECT_LE(abs(min_val), sqrt(size.height * size.height + size.width * size.width));
EXPECT_LE(abs(max_val), sqrt(size.height * size.height + size.width * size.width));
EXPECT_LE(abs(min_val), sqrt( static_cast<double>(size.height * size.height + size.width * size.width)) );
EXPECT_LE(abs(max_val), sqrt( static_cast<double>(size.height * size.height + size.width * size.width)) );
}
}
@@ -151,8 +151,8 @@ TEST_P(DenseOpticalFlow_VariationalRefinement, MultithreadReproducibility)
// resulting flow should be within the frame bounds:
double min_val, max_val;
minMaxLoc(resMultiThread, &min_val, &max_val);
EXPECT_LE(abs(min_val), sqrt(size.height * size.height + size.width * size.width));
EXPECT_LE(abs(max_val), sqrt(size.height * size.height + size.width * size.width));
EXPECT_LE(abs(min_val), sqrt( static_cast<double>(size.height * size.height + size.width * size.width)) );
EXPECT_LE(abs(max_val), sqrt( static_cast<double>(size.height * size.height + size.width * size.width)) );
}
}

2
modules/structured_light/samples/projectorcalibration.cpp
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@@ -477,7 +477,7 @@ void normalize( const Mat &pts, const int& dim, Mat& normpts, Mat &T )
averagedist = averagedist+(float)norm(ptstmp);
}
averagedist = averagedist / normpts.cols;
scale = (float)(sqrt(dim) / averagedist);
scale = (float)(sqrt(static_cast<float>(dim)) / averagedist);
normpts = normpts * scale;

4
modules/structured_light/src/sinusoidalpattern.cpp
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@@ -200,12 +200,12 @@ bool SinusoidalPatternProfilometry_Impl::generate( OutputArrayOfArrays pattern )
if( params.horizontal )
{
period = params.height / params.nbrOfPeriods;
nbrOfMarkersOnOneRow = (int)floor((params.width - firstMarkerOffset) / m);
nbrOfMarkersOnOneRow = (int)floor(static_cast<float>((params.width - firstMarkerOffset) / m));
}
else
{
period = params.width / params.nbrOfPeriods;
nbrOfMarkersOnOneRow = (int)floor((params.height - firstMarkerOffset) / m);
nbrOfMarkersOnOneRow = (int)floor(static_cast<float>((params.height - firstMarkerOffset) / m));
}
frequency = (float) 1 / period;

2
modules/xfeatures2d/samples/pct_webcam.cpp
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@@ -117,7 +117,7 @@ int main(int argc, char** argv)
cerr << "Sample count have to be a positive integer: " << argv[1] << endl;
return 1;
}
initSeedCount = (int)floor(initSampleCount / 4);
initSeedCount = (int)floor(static_cast<float>(initSampleCount / 4));
initSeedCount = std::max(1, initSeedCount); // fallback if sample count == 1
}
if (argc > 2) // seed count

2
modules/ximgproc/src/bilateral_texture_filter.cpp
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@@ -63,7 +63,7 @@ namespace ximgproc
if (sigmaAlpha < 0)
sigmaAlpha = 5. * fr;
if (sigmaAvg < 0)
sigmaAvg = 0.05 * sqrt(src.channels());
sigmaAvg = 0.05 * sqrt(static_cast<float>(src.channels()));
Mat I;
src.copyTo(I);