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Normalize line endings and whitespace

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This commit is contained in:
OpenCV Buildbot
2012-10-17 03:18:30 +04:00
committed by Andrey Kamaev
parent 69020da607
commit 04384a71e4
1516 changed files with 258846 additions and 258162 deletions
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2
samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
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@@ -37,7 +37,7 @@ void CannyThreshold(int, void*)
/// Using Canny's output as a mask, we display our result
dst = Scalar::all(0);
src.copyTo( dst, detected_edges);
imshow( window_name, dst );
}

6
samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
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@@ -32,14 +32,14 @@ int main( int argc, char** argv )
/// Load the image
src = imread( argv[1], 1 );
/// Set the dst image the same type and size as src
/// Set the dst image the same type and size as src
warp_dst = Mat::zeros( src.rows, src.cols, src.type() );
/// Set your 3 points to calculate the Affine Transform
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
dstTri[0] = Point2f( src.cols*0.0, src.rows*0.33 );
dstTri[1] = Point2f( src.cols*0.85, src.rows*0.25 );
dstTri[2] = Point2f( src.cols*0.15, src.rows*0.7 );
@@ -62,7 +62,7 @@ int main( int argc, char** argv )
/// Rotate the warped image
warpAffine( warp_dst, warp_rotate_dst, rot_mat, warp_dst.size() );
/// Show what you got
namedWindow( source_window, CV_WINDOW_AUTOSIZE );

4
samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
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@@ -24,7 +24,7 @@ int main(int argc, char** argv)
if( !src.data )
{ return -1; }
/// Convert it to gray
/// Convert it to gray
cvtColor( src, src_gray, CV_BGR2GRAY );
/// Reduce the noise so we avoid false circle detection
@@ -46,7 +46,7 @@ int main(int argc, char** argv)
circle( src, center, radius, Scalar(0,0,255), 3, 8, 0 );
}
/// Show your results
/// Show your results
namedWindow( "Hough Circle Transform Demo", CV_WINDOW_AUTOSIZE );
imshow( "Hough Circle Transform Demo", src );

12
samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
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@@ -15,8 +15,8 @@ using namespace std;
/// Global variables
/** General variables */
Mat src, edges;
Mat src_gray;
Mat src, edges;
Mat src_gray;
Mat standard_hough, probabilistic_hough;
int min_threshold = 50;
int max_trackbar = 150;
@@ -47,7 +47,7 @@ int main( int argc, char** argv )
/// Pass the image to gray
cvtColor( src, src_gray, CV_RGB2GRAY );
/// Apply Canny edge detector
Canny( src_gray, edges, 50, 200, 3 );
@@ -88,7 +88,7 @@ void Standard_Hough( int, void* )
cvtColor( edges, standard_hough, CV_GRAY2BGR );
/// 1. Use Standard Hough Transform
HoughLines( edges, s_lines, 1, CV_PI/180, min_threshold + s_trackbar, 0, 0 );
HoughLines( edges, s_lines, 1, CV_PI/180, min_threshold + s_trackbar, 0, 0 );
/// Show the result
for( int i = 0; i < s_lines.size(); i++ )
@@ -100,8 +100,8 @@ void Standard_Hough( int, void* )
Point pt1( cvRound(x0 + alpha*(-sin_t)), cvRound(y0 + alpha*cos_t) );
Point pt2( cvRound(x0 - alpha*(-sin_t)), cvRound(y0 - alpha*cos_t) );
line( standard_hough, pt1, pt2, Scalar(255,0,0), 3, CV_AA);
}
line( standard_hough, pt1, pt2, Scalar(255,0,0), 3, CV_AA);
}
imshow( standard_name, standard_hough );
}

2
samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
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@@ -18,7 +18,7 @@ int main( int argc, char** argv )
{
Mat src, src_gray, dst;
int kernel_size = 3;
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CV_16S;

46
samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
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@@ -32,7 +32,7 @@ int main( int argc, char** argv )
dst.create( src.size(), src.type() );
map_x.create( src.size(), CV_32FC1 );
map_y.create( src.size(), CV_32FC1 );
/// Create window
namedWindow( remap_window, CV_WINDOW_AUTOSIZE );
@@ -47,7 +47,7 @@ int main( int argc, char** argv )
/// Update map_x & map_y. Then apply remap
update_map();
remap( src, dst, map_x, map_y, CV_INTER_LINEAR, BORDER_CONSTANT, Scalar(0, 0, 0) );
remap( src, dst, map_x, map_y, CV_INTER_LINEAR, BORDER_CONSTANT, Scalar(0, 0, 0) );
// Display results
imshow( remap_window, dst );
@@ -65,34 +65,34 @@ void update_map( void )
for( int j = 0; j < src.rows; j++ )
{ for( int i = 0; i < src.cols; i++ )
{
{
switch( ind )
{
case 0:
if( i > src.cols*0.25 && i < src.cols*0.75 && j > src.rows*0.25 && j < src.rows*0.75 )
{
case 0:
if( i > src.cols*0.25 && i < src.cols*0.75 && j > src.rows*0.25 && j < src.rows*0.75 )
{
map_x.at<float>(j,i) = 2*( i - src.cols*0.25 ) + 0.5 ;
map_y.at<float>(j,i) = 2*( j - src.rows*0.25 ) + 0.5 ;
}
else
{ map_x.at<float>(j,i) = 0 ;
map_y.at<float>(j,i) = 0 ;
map_x.at<float>(j,i) = 2*( i - src.cols*0.25 ) + 0.5 ;
map_y.at<float>(j,i) = 2*( j - src.rows*0.25 ) + 0.5 ;
}
else
{ map_x.at<float>(j,i) = 0 ;
map_y.at<float>(j,i) = 0 ;
}
break;
case 1:
map_x.at<float>(j,i) = i ;
map_y.at<float>(j,i) = src.rows - j ;
break;
case 1:
map_x.at<float>(j,i) = i ;
map_y.at<float>(j,i) = src.rows - j ;
break;
case 2:
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = j ;
break;
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = j ;
break;
case 3:
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = src.rows - j ;
break;
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = src.rows - j ;
break;
} // end of switch
}
}
}
ind++;
}

10
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
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@@ -18,7 +18,7 @@ int main( int argc, char** argv )
{
Mat src, src_gray;
Mat grad;
Mat grad;
char* window_name = "Sobel Demo - Simple Edge Detector";
int scale = 1;
int delta = 0;
@@ -43,15 +43,15 @@ int main( int argc, char** argv )
/// Generate grad_x and grad_y
Mat grad_x, grad_y;
Mat abs_grad_x, abs_grad_y;
/// Gradient X
//Scharr( src_gray, grad_x, ddepth, 1, 0, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_x, ddepth, 1, 0, 3, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_x, ddepth, 1, 0, 3, scale, delta, BORDER_DEFAULT );
convertScaleAbs( grad_x, abs_grad_x );
/// Gradient Y
/// Gradient Y
//Scharr( src_gray, grad_y, ddepth, 0, 1, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_y, ddepth, 0, 1, 3, scale, delta, BORDER_DEFAULT );
Sobel( src_gray, grad_y, ddepth, 0, 1, 3, scale, delta, BORDER_DEFAULT );
convertScaleAbs( grad_y, abs_grad_y );
/// Total Gradient (approximate)

10
samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
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@@ -11,7 +11,7 @@
using namespace cv;
/// Global Variables
/// Global Variables
Mat src, dst;
int top, bottom, left, right;
int borderType;
@@ -29,10 +29,10 @@ int main( int argc, char** argv )
/// Load an image
src = imread( argv[1] );
if( !src.data )
{ return -1;
printf(" No data entered, please enter the path to an image file \n");
printf(" No data entered, please enter the path to an image file \n");
}
/// Brief how-to for this program
@@ -46,12 +46,12 @@ int main( int argc, char** argv )
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
/// Initialize arguments for the filter
top = (int) (0.05*src.rows); bottom = (int) (0.05*src.rows);
top = (int) (0.05*src.rows); bottom = (int) (0.05*src.rows);
left = (int) (0.05*src.cols); right = (int) (0.05*src.cols);
dst = src;
imshow( window_name, dst );
while( true )
{
c = waitKey(500);

6
samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
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@@ -22,7 +22,7 @@ int main ( int argc, char** argv )
Mat kernel;
Point anchor;
double delta;
int ddepth;
int ddepth;
int kernel_size;
char* window_name = "filter2D Demo";
@@ -36,7 +36,7 @@ int main ( int argc, char** argv )
/// Create window
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
/// Initialize arguments for the filter
anchor = Point( -1, -1 );
delta = 0;
@@ -60,6 +60,6 @@ int main ( int argc, char** argv )
imshow( window_name, dst );
ind++;
}
return 0;
}