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Update documentation ( tutorials )

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This commit is contained in:
Suleyman TURKMEN
2016-07-18 16:32:05 +03:00
parent 55d0945149
commit bb6f65c199
34 changed files with 369 additions and 1333 deletions
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samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
+24 -6
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@@ -10,8 +10,7 @@
using namespace cv;
/// Global variables
//![variables]
Mat src, src_gray;
Mat dst, detected_edges;
@@ -21,6 +20,7 @@ int const max_lowThreshold = 100;
int ratio = 3;
int kernel_size = 3;
const char* window_name = "Edge Map";
//![variables]
/**
* @function CannyThreshold
@@ -28,17 +28,28 @@ const char* window_name = "Edge Map";
*/
static void CannyThreshold(int, void*)
{
//![reduce_noise]
/// Reduce noise with a kernel 3x3
blur( src_gray, detected_edges, Size(3,3) );
//![reduce_noise]
//![canny]
/// Canny detector
Canny( detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size );
//![canny]
/// Using Canny's output as a mask, we display our result
//![fill]
dst = Scalar::all(0);
//![fill]
//![copyto]
src.copyTo( dst, detected_edges);
//![copyto]
//![display]
imshow( window_name, dst );
//![display]
}
@@ -47,23 +58,30 @@ static void CannyThreshold(int, void*)
*/
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1], IMREAD_COLOR );
//![load]
src = imread( argv[1], IMREAD_COLOR ); // Load an image
if( src.empty() )
{ return -1; }
//![load]
//![create_mat]
/// Create a matrix of the same type and size as src (for dst)
dst.create( src.size(), src.type() );
//![create_mat]
/// Convert the image to grayscale
//![convert_to_gray]
cvtColor( src, src_gray, COLOR_BGR2GRAY );
//![convert_to_gray]
/// Create a window
//![create_window]
namedWindow( window_name, WINDOW_AUTOSIZE );
//![create_window]
//![create_trackbar]
/// Create a Trackbar for user to enter threshold
createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold );
//![create_trackbar]
/// Show the image
CannyThreshold(0, 0);
samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
+18 -12
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@@ -15,39 +15,45 @@ using namespace cv;
*/
int main( int, char** argv )
{
//![variables]
Mat src, src_gray, dst;
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CV_16S;
const char* window_name = "Laplace Demo";
//![variables]
/// Load an image
src = imread( argv[1], IMREAD_COLOR );
//![load]
src = imread( argv[1], IMREAD_COLOR ); // Load an image
if( src.empty() )
{ return -1; }
//![load]
/// Remove noise by blurring with a Gaussian filter
//![reduce_noise]
/// Reduce noise by blurring with a Gaussian filter
GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
//![reduce_noise]
/// Convert the image to grayscale
cvtColor( src, src_gray, COLOR_RGB2GRAY );
/// Create window
namedWindow( window_name, WINDOW_AUTOSIZE );
//![convert_to_gray]
cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to grayscale
//![convert_to_gray]
/// Apply Laplace function
Mat abs_dst;
//![laplacian]
Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT );
//![laplacian]
//![convert]
convertScaleAbs( dst, abs_dst );
//![convert]
/// Show what you got
//![display]
imshow( window_name, abs_dst );
waitKey(0);
//![display]
return 0;
}
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
+22 -12
View File
@@ -1,6 +1,6 @@
/**
* @file Sobel_Demo.cpp
* @brief Sample code using Sobel and/orScharr OpenCV functions to make a simple Edge Detector
* @brief Sample code using Sobel and/or Scharr OpenCV functions to make a simple Edge Detector
* @author OpenCV team
*/
@@ -15,28 +15,31 @@ using namespace cv;
*/
int main( int, char** argv )
{
//![variables]
Mat src, src_gray;
Mat grad;
const char* window_name = "Sobel Demo - Simple Edge Detector";
int scale = 1;
int delta = 0;
int ddepth = CV_16S;
//![variables]
/// Load an image
src = imread( argv[1], IMREAD_COLOR );
//![load]
src = imread( argv[1], IMREAD_COLOR ); // Load an image
if( src.empty() )
{ return -1; }
//![load]
//![reduce_noise]
GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
//![reduce_noise]
/// Convert it to gray
cvtColor( src, src_gray, COLOR_RGB2GRAY );
/// Create window
namedWindow( window_name, WINDOW_AUTOSIZE );
//![convert_to_gray]
cvtColor( src, src_gray, COLOR_BGR2GRAY );
//![convert_to_gray]
//![sobel]
/// Generate grad_x and grad_y
Mat grad_x, grad_y;
Mat abs_grad_x, abs_grad_y;
@@ -44,19 +47,26 @@ int main( int, char** argv )
/// 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 );
convertScaleAbs( grad_x, abs_grad_x );
/// 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 );
convertScaleAbs( grad_y, abs_grad_y );
//![sobel]
//![convert]
convertScaleAbs( grad_x, abs_grad_x );
convertScaleAbs( grad_y, abs_grad_y );
//![convert]
//![blend]
/// Total Gradient (approximate)
addWeighted( abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad );
//![blend]
//![display]
imshow( window_name, grad );
waitKey(0);
//![display]
return 0;
}
samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
+20 -6
View File
@@ -10,12 +10,13 @@
using namespace cv;
/// Global Variables
//![variables]
Mat src, dst;
int top, bottom, left, right;
int borderType;
const char* window_name = "copyMakeBorder Demo";
RNG rng(12345);
//![variables]
/**
* @function main
@@ -25,14 +26,15 @@ int main( int, char** argv )
int c;
/// Load an image
src = imread( argv[1], IMREAD_COLOR );
//![load]
src = imread( argv[1], IMREAD_COLOR ); // Load an image
if( src.empty() )
{
printf(" No data entered, please enter the path to an image file \n");
return -1;
}
//![load]
/// Brief how-to for this program
printf( "\n \t copyMakeBorder Demo: \n" );
@@ -41,18 +43,22 @@ int main( int, char** argv )
printf( " ** Press 'r' to set the border to be replicated \n");
printf( " ** Press 'ESC' to exit the program \n");
/// Create window
//![create_window]
namedWindow( window_name, WINDOW_AUTOSIZE );
//![create_window]
//![init_arguments]
/// Initialize arguments for the filter
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;
//![init_arguments]
dst = src;
imshow( window_name, dst );
for(;;)
{
//![check_keypress]
c = waitKey(500);
if( (char)c == 27 )
@@ -61,11 +67,19 @@ int main( int, char** argv )
{ borderType = BORDER_CONSTANT; }
else if( (char)c == 'r' )
{ borderType = BORDER_REPLICATE; }
//![check_keypress]
//![update_value]
Scalar value( rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255) );
copyMakeBorder( src, dst, top, bottom, left, right, borderType, value );
//![update_value]
//![copymakeborder]
copyMakeBorder( src, dst, top, bottom, left, right, borderType, value );
//![copymakeborder]
//![display]
imshow( window_name, dst );
//![display]
}
return 0;
samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
+9 -6
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@@ -27,19 +27,19 @@ int main ( int, char** argv )
int c;
/// Load an image
src = imread( argv[1], IMREAD_COLOR );
//![load]
src = imread( argv[1], IMREAD_COLOR ); // Load an image
if( src.empty() )
{ return -1; }
//![load]
/// Create window
namedWindow( window_name, WINDOW_AUTOSIZE );
//![init_arguments]
/// Initialize arguments for the filter
anchor = Point( -1, -1 );
delta = 0;
ddepth = -1;
//![init_arguments]
/// Loop - Will filter the image with different kernel sizes each 0.5 seconds
int ind = 0;
@@ -50,12 +50,15 @@ int main ( int, char** argv )
if( (char)c == 27 )
{ break; }
//![update_kernel]
/// Update kernel size for a normalized box filter
kernel_size = 3 + 2*( ind%5 );
kernel = Mat::ones( kernel_size, kernel_size, CV_32F )/ (float)(kernel_size*kernel_size);
//![update_kernel]
/// Apply filter
//![apply_filter]
filter2D(src, dst, ddepth , kernel, anchor, delta, BORDER_DEFAULT );
//![apply_filter]
imshow( window_name, dst );
ind++;
}