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fixed warnings

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This commit is contained in:
Ilya Lavrenov
2013-10-04 17:03:15 +04:00
parent b03c19a8ac
commit 35d9ce0c0c
23 changed files with 98 additions and 98 deletions
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22
modules/shape/test/test_shape.cpp
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@@ -46,13 +46,13 @@ using namespace std;
const int angularBins=12;
const int radialBins=4;
const float minRad=0.2;
const float minRad=0.2f;
const float maxRad=2;
const int NSN=5;//10;//20; //number of shapes per class
const int NP=120; //number of points sympliying the contour
const float outlierWeight=0.1;
const float outlierWeight=0.1f;
const int numOutliers=20;
const float CURRENT_MAX_ACCUR=95.0; //99% and 100% reached in several tests, 95 is fixed as minimum boundary
const float CURRENT_MAX_ACCUR=95; //99% and 100% reached in several tests, 95 is fixed as minimum boundary
class CV_ShapeTest : public cvtest::BaseTest
{
@@ -95,7 +95,7 @@ vector <Point2f> CV_ShapeTest::convertContourType(const Mat& currentQuery, int n
}
// In case actual number of points is less than n
for (int add=contoursQuery.size()-1; add<n; add++)
for (int add=(int)contoursQuery.size()-1; add<n; add++)
{
contoursQuery.push_back(contoursQuery[contoursQuery.size()-add+1]); //adding dummy values
}
@@ -126,7 +126,7 @@ float CV_ShapeTest::computeShapeDistance(vector <Point2f>& query1, vector <Point
//waitKey(0);
Ptr <ShapeContextDistanceExtractor> mysc = createShapeContextDistanceExtractor(angularBins, radialBins, minRad, maxRad);
//Ptr <HistogramCostExtractor> cost = createNormHistogramCostExtractor(cv::DIST_L1);
Ptr <HistogramCostExtractor> cost = createChiHistogramCostExtractor(30,0.15);
Ptr <HistogramCostExtractor> cost = createChiHistogramCostExtractor(30,0.15f);
//Ptr <HistogramCostExtractor> cost = createEMDHistogramCostExtractor();
//Ptr <HistogramCostExtractor> cost = createEMDL1HistogramCostExtractor();
mysc->setIterations(1);
@@ -148,14 +148,14 @@ void CV_ShapeTest::mpegTest()
listShapeNames(namesHeaders);
// distance matrix //
Mat distanceMat=Mat::zeros(NSN*namesHeaders.size(), NSN*namesHeaders.size(), CV_32F);
Mat distanceMat=Mat::zeros(NSN*(int)namesHeaders.size(), NSN*(int)namesHeaders.size(), CV_32F);
// query contours (normal v flipped, h flipped) and testing contour //
vector<Point2f> contoursQuery1, contoursQuery2, contoursQuery3, contoursTesting;
// reading query and computing its properties //
int counter=0;
const int loops=NSN*namesHeaders.size()*NSN*namesHeaders.size();
const int loops=NSN*(int)namesHeaders.size()*NSN*(int)namesHeaders.size();
for (size_t n=0; n<namesHeaders.size(); n++)
{
for (int i=1; i<=NSN; i++)
@@ -184,8 +184,8 @@ void CV_ShapeTest::mpegTest()
counter++;
if (nt==n && it==i)
{
distanceMat.at<float>(NSN*n+i-1,
NSN*nt+it-1)=0;
distanceMat.at<float>(NSN*(int)n+i-1,
NSN*(int)nt+it-1)=0;
continue;
}
// read testing image //
@@ -200,9 +200,9 @@ void CV_ShapeTest::mpegTest()
std::cout<<std::endl<<"Progress: "<<counter<<"/"<<loops<<": "<<100*double(counter)/loops<<"% *******"<<std::endl;
std::cout<<"Computing shape distance between "<<namesHeaders[n]<<i<<
" and "<<namesHeaders[nt]<<it<<": ";
distanceMat.at<float>(NSN*n+i-1, NSN*nt+it-1)=
distanceMat.at<float>(NSN*(int)n+i-1, NSN*(int)nt+it-1)=
computeShapeDistance(contoursQuery1, contoursQuery2, contoursQuery3, contoursTesting);
std::cout<<distanceMat.at<float>(NSN*n+i-1, NSN*nt+it-1)<<std::endl;
std::cout<<distanceMat.at<float>(NSN*(int)n+i-1, NSN*(int)nt+it-1)<<std::endl;
}
}
}