generic-library/opencv
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Applied all fixes related to translating C to C++ code

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Also fixed some typos and code alignment
Also adapted tutorial CPP samples
Fixed some identation problems
This commit is contained in:
StevenPuttemans
2013-10-30 13:34:27 +01:00
parent 4bc105c40b
commit 2b106db02f
78 changed files with 217 additions and 229 deletions
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14
samples/cpp/points_classifier.cpp
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@@ -7,7 +7,7 @@
using namespace std;
using namespace cv;
const Scalar WHITE_COLOR = CV_RGB(255,255,255);
const Scalar WHITE_COLOR = Scalar(255,255,255);
const string winName = "points";
const int testStep = 5;
@@ -69,15 +69,15 @@ static void on_mouse( int event, int x, int y, int /*flags*/, void* )
// put the text
stringstream text;
text << "current class " << classColors.size()-1;
putText( img, text.str(), Point(10,25), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText( img, text.str(), Point(10,25), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
text.str("");
text << "total classes " << classColors.size();
putText( img, text.str(), Point(10,50), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText( img, text.str(), Point(10,50), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
text.str("");
text << "total points " << trainedPoints.size();
putText(img, text.str(), cvPoint(10,75), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText(img, text.str(), Point(10,75), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
// draw points
for( size_t i = 0; i < trainedPoints.size(); i++ )
@@ -178,7 +178,7 @@ static void find_decision_boundary_SVM( CvSVMParams params )
for( int i = 0; i < svmClassifier.get_support_vector_count(); i++ )
{
const float* supportVector = svmClassifier.get_support_vector(i);
circle( imgDst, Point(supportVector[0],supportVector[1]), 5, CV_RGB(255,255,255), -1 );
circle( imgDst, Point(supportVector[0],supportVector[1]), 5, Scalar(255,255,255), -1 );
}
}
@@ -526,7 +526,7 @@ int main()
{
#if _NBC_
find_decision_boundary_NBC();
cvNamedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
namedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
imshow( "NormalBayesClassifier", imgDst );
#endif
#if _KNN_
@@ -560,7 +560,7 @@ int main()
params.C = 10;
find_decision_boundary_SVM( params );
cvNamedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
namedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
imshow( "classificationSVM2", imgDst );
#endif