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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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8
samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
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@@ -27,7 +27,7 @@ int main( int argc, char** argv )
if( !src.data )
{ cout<<"Usage: ./Histogram_Demo <path_to_image>"<<endl;
return -1;
return -1;
}
/// Convert to grayscale
@@ -35,15 +35,15 @@ int main( int argc, char** argv )
/// Apply Histogram Equalization
equalizeHist( src, dst );
/// Display results
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
namedWindow( equalized_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
imshow( equalized_window, dst );
/// Wait until user exits the program
/// Wait until user exits the program
waitKey(0);
return 0;

16
samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
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@@ -35,7 +35,7 @@ int main( int argc, char** argv )
/// Create windows
namedWindow( image_window, CV_WINDOW_AUTOSIZE );
namedWindow( result_window, CV_WINDOW_AUTOSIZE );
/// Create Trackbar
char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );
@@ -55,11 +55,11 @@ void MatchingMethod( int, void* )
/// Source image to display
Mat img_display;
img.copyTo( img_display );
/// Create the result matrix
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
int result_rows = img.rows - templ.rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
/// Do the Matching and Normalize
@@ -69,19 +69,19 @@ void MatchingMethod( int, void* )
/// Localizing the best match with minMaxLoc
double minVal; double maxVal; Point minLoc; Point maxLoc;
Point matchLoc;
minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
/// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
{ matchLoc = minLoc; }
else
else
{ matchLoc = maxLoc; }
/// Show me what you got
rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
imshow( image_window, img_display );
imshow( result_window, result );

12
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp
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@@ -13,7 +13,7 @@ using namespace cv;
using namespace std;
/// Global Variables
Mat src; Mat hsv; Mat hue;
Mat src; Mat hsv; Mat hue;
int bins = 25;
/// Function Headers
@@ -33,7 +33,7 @@ int main( int argc, char** argv )
/// Use only the Hue value
hue.create( hsv.size(), hsv.depth() );
int ch[] = { 0, 0 };
mixChannels( &hsv, 1, &hue, 1, ch, 1 );
mixChannels( &hsv, 1, &hue, 1, ch, 1 );
/// Create Trackbar to enter the number of bins
char* window_image = "Source image";
@@ -57,7 +57,7 @@ int main( int argc, char** argv )
void Hist_and_Backproj(int, void* )
{
MatND hist;
int histSize = MAX( bins, 2 );
int histSize = MAX( bins, 2 );
float hue_range[] = { 0, 180 };
const float* ranges = { hue_range };
@@ -68,16 +68,16 @@ void Hist_and_Backproj(int, void* )
/// Get Backprojection
MatND backproj;
calcBackProject( &hue, 1, 0, hist, backproj, &ranges, 1, true );
/// Draw the backproj
imshow( "BackProj", backproj );
/// Draw the histogram
int w = 400; int h = 400;
int bin_w = cvRound( (double) w / histSize );
int bin_w = cvRound( (double) w / histSize );
Mat histImg = Mat::zeros( w, h, CV_8UC3 );
for( int i = 0; i < bins; i ++ )
for( int i = 0; i < bins; i ++ )
{ rectangle( histImg, Point( i*bin_w, h ), Point( (i+1)*bin_w, h - cvRound( hist.at<float>(i)*h/255.0 ) ), Scalar( 0, 0, 255 ), -1 ); }
imshow( "Histogram", histImg );

12
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp
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@@ -13,7 +13,7 @@ using namespace cv;
using namespace std;
/// Global Variables
Mat src; Mat hsv;
Mat src; Mat hsv;
Mat mask;
int lo = 20; int up = 20;
@@ -33,7 +33,7 @@ int main( int argc, char** argv )
/// Transform it to HSV
cvtColor( src, hsv, CV_BGR2HSV );
/// Show the image
/// Show the image
namedWindow( window_image, CV_WINDOW_AUTOSIZE );
imshow( window_image, src );
@@ -57,7 +57,7 @@ void pickPoint (int event, int x, int y, int, void* )
// Fill and get the mask
Point seed = Point( x, y );
int newMaskVal = 255;
Scalar newVal = Scalar( 120, 120, 120 );
@@ -65,7 +65,7 @@ void pickPoint (int event, int x, int y, int, void* )
int flags = connectivity + (newMaskVal << 8 ) + FLOODFILL_FIXED_RANGE + FLOODFILL_MASK_ONLY;
Mat mask2 = Mat::zeros( src.rows + 2, src.cols + 2, CV_8UC1 );
floodFill( src, mask2, seed, newVal, 0, Scalar( lo, lo, lo ), Scalar( up, up, up), flags );
floodFill( src, mask2, seed, newVal, 0, Scalar( lo, lo, lo ), Scalar( up, up, up), flags );
mask = mask2( Range( 1, mask2.rows - 1 ), Range( 1, mask2.cols - 1 ) );
imshow( "Mask", mask );
@@ -80,7 +80,7 @@ void Hist_and_Backproj( )
{
MatND hist;
int h_bins = 30; int s_bins = 32;
int histSize[] = { h_bins, s_bins };
int histSize[] = { h_bins, s_bins };
float h_range[] = { 0, 179 };
float s_range[] = { 0, 255 };
@@ -96,7 +96,7 @@ void Hist_and_Backproj( )
/// Get Backprojection
MatND backproj;
calcBackProject( &hsv, 1, channels, hist, backproj, ranges, 1, true );
/// Draw the backproj
imshow( "BackProj", backproj );

10
samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
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@@ -25,7 +25,7 @@ int main( int argc, char** argv )
/// Load three images with different environment settings
if( argc < 4 )
{ printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
return -1;
return -1;
}
src_base = imread( argv[1], 1 );
@@ -37,7 +37,7 @@ int main( int argc, char** argv )
cvtColor( src_test1, hsv_test1, CV_BGR2HSV );
cvtColor( src_test2, hsv_test2, CV_BGR2HSV );
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
/// Using 30 bins for hue and 32 for saturation
int h_bins = 50; int s_bins = 60;
@@ -74,14 +74,14 @@ int main( int argc, char** argv )
/// Apply the histogram comparison methods
for( int i = 0; i < 4; i++ )
{ int compare_method = i;
{ int compare_method = i;
double base_base = compareHist( hist_base, hist_base, compare_method );
double base_half = compareHist( hist_base, hist_half_down, compare_method );
double base_test1 = compareHist( hist_base, hist_test1, compare_method );
double base_test2 = compareHist( hist_base, hist_test2, compare_method );
printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
}
}
printf( "Done \n" );