Applied all fixes related to translating C to C++ code

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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@@ -58,10 +58,10 @@ int main( int, char** argv )
dst.create( src.size(), src.type() );
/// Convert the image to grayscale
cvtColor( src, src_gray, CV_BGR2GRAY );
cvtColor( src, src_gray, COLOR_BGR2GRAY );
/// Create a window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Create a Trackbar for user to enter threshold
createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold );

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@@ -65,13 +65,13 @@ int main( int, char** argv )
/// Show what you got
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
namedWindow( warp_window, CV_WINDOW_AUTOSIZE );
namedWindow( warp_window, WINDOW_AUTOSIZE );
imshow( warp_window, warp_dst );
namedWindow( warp_rotate_window, CV_WINDOW_AUTOSIZE );
namedWindow( warp_rotate_window, WINDOW_AUTOSIZE );
imshow( warp_rotate_window, warp_rotate_dst );
/// Wait until user exits the program

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@@ -25,7 +25,7 @@ int main(int, char** argv)
{ return -1; }
/// Convert it to gray
cvtColor( src, src_gray, CV_BGR2GRAY );
cvtColor( src, src_gray, COLOR_BGR2GRAY );
/// Reduce the noise so we avoid false circle detection
GaussianBlur( src_gray, src_gray, Size(9, 9), 2, 2 );
@@ -47,7 +47,7 @@ int main(int, char** argv)
}
/// Show your results
namedWindow( "Hough Circle Transform Demo", CV_WINDOW_AUTOSIZE );
namedWindow( "Hough Circle Transform Demo", WINDOW_AUTOSIZE );
imshow( "Hough Circle Transform Demo", src );
waitKey(0);

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@@ -46,7 +46,7 @@ int main( int, char** argv )
}
/// Pass the image to gray
cvtColor( src, src_gray, CV_RGB2GRAY );
cvtColor( src, src_gray, COLOR_RGB2GRAY );
/// Apply Canny edge detector
Canny( src_gray, edges, 50, 200, 3 );
@@ -55,10 +55,10 @@ int main( int, char** argv )
char thresh_label[50];
sprintf( thresh_label, "Thres: %d + input", min_threshold );
namedWindow( standard_name, CV_WINDOW_AUTOSIZE );
namedWindow( standard_name, WINDOW_AUTOSIZE );
createTrackbar( thresh_label, standard_name, &s_trackbar, max_trackbar, Standard_Hough);
namedWindow( probabilistic_name, CV_WINDOW_AUTOSIZE );
namedWindow( probabilistic_name, WINDOW_AUTOSIZE );
createTrackbar( thresh_label, probabilistic_name, &p_trackbar, max_trackbar, Probabilistic_Hough);
/// Initialize

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@@ -34,10 +34,10 @@ int main( int, char** argv )
GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
/// Convert the image to grayscale
cvtColor( src, src_gray, CV_RGB2GRAY );
cvtColor( src, src_gray, COLOR_RGB2GRAY );
/// Create window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Apply Laplace function
Mat abs_dst;

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@@ -34,7 +34,7 @@ int main( int, char** argv )
map_y.create( src.size(), CV_32FC1 );
/// Create window
namedWindow( remap_window, CV_WINDOW_AUTOSIZE );
namedWindow( remap_window, WINDOW_AUTOSIZE );
/// Loop
for(;;)

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@@ -33,10 +33,10 @@ int main( int, char** argv )
GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
/// Convert it to gray
cvtColor( src, src_gray, CV_RGB2GRAY );
cvtColor( src, src_gray, COLOR_RGB2GRAY );
/// Create window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Generate grad_x and grad_y
Mat grad_x, grad_y;

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@@ -43,7 +43,7 @@ int main( int, char** argv )
printf( " ** Press 'ESC' to exit the program \n");
/// Create window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Initialize arguments for the filter
top = (int) (0.05*src.rows); bottom = (int) (0.05*src.rows);

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@@ -35,7 +35,7 @@ int main ( int, char** argv )
{ return -1; }
/// Create window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Initialize arguments for the filter
anchor = Point( -1, -1 );