Saving the first batch of tutorials: Short installation guide and a few tutorials for beginners

doc/tutorials/Adding_Images.rst

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+.. _Adding_Images:
+
+Adding (blending) two images using OpenCV
+*******************************************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+* What is *linear blending* and why it is useful.
+* Add two images using :add_weighted:`addWeighted <>`
+
+Cool Theory
+=================
+
+.. note::
+
+   The explanation below belongs to the book `Computer Vision: Algorithms and Applications <http://szeliski.org/Book/>`_  by Richard Szeliski 
+
+From our previous tutorial, we know already a bit of *Pixel operators*. An interesting dyadic (two-input) operator is the *linear blend operator*:
+
+.. math::
+
+   g(x) = (1 - \alpha)f_{0}(x) + \alpha f_{1}(x)
+
+By varying :math:`\alpha` from :math:`0 \rightarrow 1` this operator can be used to perform a temporal *cross-disolve* between two images or videos, as seen in slide shows and film production (cool, eh?)
+
+Code
+=====
+
+As usual, after the not-so-lengthy explanation, let's go to the code. Here it is:
+
+.. code-block:: cpp
+
+   #include <cv.h>
+   #include <highgui.h>
+   #include <iostream>
+
+   using namespace cv;
+
+   int main( int argc, char** argv )
+   {
+    double alpha = 0.5; double beta; double input; 
+
+    Mat src1, src2, dst;
+
+    /// Ask the user enter alpha
+    std::cout<<" Simple Linear Blender "<<std::endl;
+    std::cout<<"-----------------------"<<std::endl;
+    std::cout<<"* Enter alpha [0-1]: ";
+    std::cin>>input;
+
+    /// We use the alpha provided by the user iff it is between 0 and 1
+    if( alpha >= 0 && alpha <= 1 )
+      { alpha = input; }
+
+    /// Read image ( same size, same type )
+    src1 = imread("../../images/LinuxLogo.jpg");
+    src2 = imread("../../images/WindowsLogo.jpg");
+
+    if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
+    if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
+
+    /// Create Windows
+    namedWindow("Linear Blend", 1);
+
+    beta = ( 1.0 - alpha );
+    addWeighted( src1, alpha, src2, beta, 0.0, dst);
+  
+    imshow( "Linear Blend", dst );
+
+    waitKey(0);
+    return 0;
+   }
+
+Explanation
+============
+
+#. Since we are going to perform:
+
+   .. math::
+
+      g(x) = (1 - \alpha)f_{0}(x) + \alpha f_{1}(x)
+
+   We need two source images (:math:`f_{0}(x)` and :math:`f_{1}(x)`). So, we load them in the usual way:
+
+   .. code-block:: cpp
+
+      src1 = imread("../../images/LinuxLogo.jpg");
+      src2 = imread("../../images/WindowsLogo.jpg");
+
+   .. warning::
+
+      Since we are *adding* *src1* and *src2*, they both have to be of the same size (width and height) and type.
+
+#. Now we need to generate the :math:`g(x)` image. For this, the function :add_weighted:`addWeighted <>` comes quite handy:
+
+   .. code-block:: cpp
+   
+      beta = ( 1.0 - alpha );
+      addWeighted( src1, alpha, src2, beta, 0.0, dst);
+ 
+   since :add_weighted:`addWeighted <>` produces:
+
+   .. math::
+
+      dst = \alpha \cdot src1 + \beta \cdot src2 + \gamma
+
+   In this case, :math:`\gamma` is the argument :math:`0.0` in the code above.
+ 
+#. Create windows, show the images and wait for the user to end the program. 
+
+Result
+=======
+
+.. image:: images/Adding_Images_Tutorial_Result_0.png
+   :alt: Blending Images Tutorial - Final Result
+   :align: center 

doc/tutorials/Adding_Trackbars.rst

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+.. _Adding_Trackbars:
+
+Adding a Trackbar to our applications!
+***************************************
+
+* In the previous tutorials (about *linear blending* and the *brightness and contrast adjustments*) you might have noted that we needed to give some **input** to our programs, such as :math:`\alpha` and :math:`beta`. We accomplished that by entering this data using the Terminal
+
+* Well, it is time to use some fancy GUI tools. OpenCV provides some GUI utilities (*highgui.h*) for you. An example of this is a **Trackbar** 
+
+  .. image:: images/Adding_Trackbars_Tutorial_Trackbar.png
+     :alt: Trackbar example
+     :align: center 
+
+* In this tutorial we will just modify our two previous programs so that they get the input information from the trackbar.
+
+
+Goals
+======
+
+In this tutorial you will learn how to:
+
+* Add a Trackbar in an OpenCV window by using  :create_trackbar:`createTrackbar <>` 
+
+Code
+=====
+
+Let's modify the program made in the tutorial :ref:`Adding_Images`. We will let the user enter the :math:`\alpha` value by using the Trackbar.
+
+.. code-block:: cpp
+
+   #include <cv.h>
+   #include <highgui.h>
+
+   using namespace cv;
+
+   /// Global Variables 
+   const int alpha_slider_max = 100;
+   int alpha_slider; 
+   double alpha;
+   double beta;  
+
+   /// Matrices to store images 
+   Mat src1;
+   Mat src2;
+   Mat dst;
+
+   /**
+    * @function on_trackbar
+    * @brief Callback for trackbar
+    */
+   void on_trackbar( int, void* )
+   { 
+    alpha = (double) alpha_slider/alpha_slider_max ;
+    beta = ( 1.0 - alpha );
+
+    addWeighted( src1, alpha, src2, beta, 0.0, dst);
+  
+    imshow( "Linear Blend", dst );
+   }
+
+   int main( int argc, char** argv )
+   {
+    /// Read image ( same size, same type )
+    src1 = imread("../../images/LinuxLogo.jpg");
+    src2 = imread("../../images/WindowsLogo.jpg");
+
+    if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
+    if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
+
+    /// Initialize values 
+    alpha_slider = 0;
+
+    /// Create Windows
+    namedWindow("Linear Blend", 1);
+
+    /// Create Trackbars
+    char TrackbarName[50];
+    sprintf( TrackbarName, "Alpha x %d", alpha_slider_max ); 
+
+    createTrackbar( TrackbarName, "Linear Blend", &alpha_slider, alpha_slider_max, on_trackbar );
+
+    /// Show some stuff
+    on_trackbar( alpha_slider, 0 );
+  
+    /// Wait until user press some key
+    waitKey(0);
+    return 0;
+   }
+
+
+Explanation
+============
+
+We only analyze the code that is related to Trackbar:
+
+#. First, we load 02 images, which are going to be blended.
+
+   .. code-block:: cpp
+
+      src1 = imread("../../images/LinuxLogo.jpg");
+      src2 = imread("../../images/WindowsLogo.jpg");
+
+#. To create a trackbar, first we have to create the window in which it is going to be located. So:
+
+   .. code-block:: cpp
+
+      namedWindow("Linear Blend", 1);
+
+#. Now we can create the Trackbar:
+
+   .. code-block:: cpp
+
+      createTrackbar( TrackbarName, "Linear Blend", &alpha_slider, alpha_slider_max, on_trackbar );
+
+   Note the following:
+   
+   * Our Trackbar has a label **TrackbarName**
+   * The Trackbar is located in the window named **"Linear Blend"**
+   * The Trackbar values will be in the range from :math:`0` to **alpha_slider_max** (the minimum limit is always **zero**).
+   * The numerical value of Trackbar is stored in **alpha_slider**
+   * Whenever the user moves the Trackbar, the callback function **on_trackbar** is called
+
+#. Finally, we have to define the callback function **on_trackbar**
+
+   .. code-block:: cpp
+
+      void on_trackbar( int, void* )
+      { 
+       alpha = (double) alpha_slider/alpha_slider_max ;
+       beta = ( 1.0 - alpha );
+
+       addWeighted( src1, alpha, src2, beta, 0.0, dst);
+  
+       imshow( "Linear Blend", dst );
+      }
+
+   Note that:
+ 
+   * We use the value of **alpha_slider** (integer) to get a double value for **alpha**. 
+   * **alpha_slider** is updated each time the trackbar is displaced by the user.
+   * We define *src1*, *src2*, *dist*, *alpha*, *alpha_slider* and *beta* as global  variables, so they can be used everywhere.
+ 
+Result
+=======
+
+* Our program produces the following output:
+
+  .. image:: images/Adding_Trackbars_Tutorial_Result_0.png
+     :alt: Adding Trackbars - Windows Linux
+     :align: center 
+
+* As a manner of practice, you can also add 02 trackbars for the program made in :ref:`Basic_Linear_Transform`. One trackbar to set :math:`\alpha` and another for :math:`\beta`. The output might look like:
+
+  .. image:: images/Adding_Trackbars_Tutorial_Result_1.png
+     :alt: Adding Trackbars - Lena
+     :height: 500px
+     :align: center 
+
+
+
+
+

doc/tutorials/Basic_Linear_Transform.rst

@@ -0,0 +1,198 @@
+.. _Basic_Linear_Transform:
+
+Changing the contrast and brightness of an image!
+***************************************************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+* Access pixel values 
+
+* Initialize a matrix with zeros
+
+* Learn what :saturate_cast:`saturate_cast <>` does and why it is useful
+
+* Get some cool info about pixel transformations
+
+Cool Theory
+=================
+ 
+.. note::
+   The explanation below belongs to the book `Computer Vision: Algorithms and Applications <http://szeliski.org/Book/>`_  by Richard Szeliski 
+
+Image Processing
+--------------------
+
+* A general image processing operator is a function that takes one or more input images and produces an output image. 
+
+* Image transforms can be seen as:
+
+  * Point operators (pixel transforms)
+  * Neighborhood (area-based) operators
+
+
+Pixel Transforms
+^^^^^^^^^^^^^^^^^
+
+* In this kind of image processing transform, each output pixel's value depends on only the corresponding input pixel value (plus, potentially, some globally collected information or parameters).
+
+* Examples of such operators include *brightness and contrast adjustments* as well as color correction and transformations.
+
+Brightness and contrast adjustments
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+* Two commonly used point processes are *multiplication* and *addition* with a constant:
+
+  .. math::
+
+     g(x) = \alpha f(x) + \beta
+
+* The parameters :math:`\alpha > 0` and :math:`\beta` are often called the *gain* and *bias* parameters; sometimes these parameters are said to control *contrast* and *brightness* respectively.
+
+* You can think of :math:`f(x)` as the source image pixels and :math:`g(x)` as the output image pixels. Then, more conveniently we can write the expression as:
+
+  .. math::
+   
+     g(i,j) = \alpha \cdot f(i,j) + \beta
+  where :math:`i` and :math:`j` indicates that the pixel is located in the *i-th* row and *j-th* column. 
+
+Code
+=====
+
+* The following code performs the operation :math:`g(i,j) = \alpha \cdot f(i,j) + \beta`
+* Here it is:
+
+.. code-block:: cpp
+
+   #include <cv.h>
+   #include <highgui.h>
+   #include <iostream>
+
+   using namespace cv;
+
+   double alpha; /**< Simple contrast control */
+   int beta;  /**< Simple brightness control */
+
+   int main( int argc, char** argv )
+   {
+    /// Read image given by user
+    Mat image = imread( argv[1] );
+    Mat new_image = Mat::zeros( image.size(), image.type() );
+
+    /// Initialize values 
+    std::cout<<" Basic Linear Transforms "<<std::endl;
+    std::cout<<"-------------------------"<<std::endl;
+    std::cout<<"* Enter the alpha value [1.0-3.0]: ";std::cin>>alpha;
+    std::cout<<"* Enter the beta value [0-100]: "; std::cin>>beta;
+
+    /// Do the operation new_image(i,j) = alpha*image(i,j) + beta
+    for( int y = 0; y < image.rows; y++ )
+       { for( int x = 0; x < image.cols; x++ )
+            { for( int c = 0; c < 3; c++ )
+                 {
+		  new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );
+                }
+	    }
+       }
+
+    /// Create Windows
+    namedWindow("Original Image", 1);
+    namedWindow("New Image", 1);
+
+    /// Show stuff
+    imshow("Original Image", image);
+    imshow("New Image", new_image);
+
+    /// Wait until user press some key
+    waitKey();
+    return 0;
+   }
+
+Explanation
+============
+
+#. We begin by creating parameters to save :math:`\alpha` and :math:`\beta` to be entered by the user:
+
+   .. code-block:: cpp
+
+      double alpha;
+      int beta;
+
+
+#. We load an image using :imread:`imread <>` and save it in a Mat object:
+   
+   .. code-block:: cpp
+
+      Mat image = imread( argv[1] );
+
+#. Now, since we will make some transformations to this image, we need a new Mat object to store it. Also, we want this to have the following features:
+   
+   * Initial pixel values equal to zero
+   * Same size and type as the original image
+ 
+   .. code-block:: cpp
+
+      Mat new_image = Mat::zeros( image.size(), image.type() ); 
+ 
+   We observe that :mat_zeros:`Mat::zeros <>` returns a Matlab-style zero initializer based on *image.size()* and *image.type()*  
+
+#. Now, to perform the operation :math:`g(i,j) = \alpha \cdot f(i,j) + \beta` we will access to each pixel in image. Since we are operating with RGB images, we will have three values per pixel (R, G and B), so we will also access them separately. Here is the piece of code:
+
+   .. code-block:: cpp
+ 
+      for( int y = 0; y < image.rows; y++ )
+         { for( int x = 0; x < image.cols; x++ )
+              { for( int c = 0; c < 3; c++ )
+                   { new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta ); }
+	      }
+         }
+ 
+   Notice the following:
+
+   * To access each pixel in the images we are using this syntax: *image.at<Vec3b>(y,x)[c]* where *y* is the row, *x* is the column and *c* is R, G or B (0, 1 or 2). 
+
+   * Since the operation :math:`\alpha \cdot p(i,j) + \beta` can give values out of range or not integers (if :math:`\alpha` is float), we use :saturate_cast:`saturate_cast <>` to make sure the values are valid.
+
+
+#. Finally, we create windows and show the images, the usual way.
+
+   .. code-block:: cpp
+   
+      namedWindow("Original Image", 1);
+      namedWindow("New Image", 1);
+
+      imshow("Original Image", image);
+      imshow("New Image", new_image);
+
+      waitKey(0);
+
+.. note::
+  
+   Instead of using the **for** loops to access each pixel, we could have simply used this command:
+  
+   .. code-block:: cpp
+
+      image.convertTo(new_image, -1, alpha, beta);
+
+   where :convert_to:`convertTo <>` would effectively perform *new_image = a*image + beta*. However, we wanted to show you how to access each pixel. In any case, both methods give the same result.
+
+Result
+=======
+
+* Running our code and using :math:`\alpha = 2.2` and :math:`\beta = 50`
+
+  .. code-block:: bash
+
+     $ ./BasicLinearTransforms lena.png
+     Basic Linear Transforms
+     -------------------------
+     * Enter the alpha value [1.0-3.0]: 2.2
+     * Enter the beta value [0-100]: 50
+
+* We get this:
+
+.. image:: images/Basic_Linear_Transform_Tutorial_Result_0.png
+   :height: 400px
+   :alt: Basic Linear Transform - Final Result
+   :align: center 

doc/tutorials/Display_Image.rst

@@ -0,0 +1,112 @@
+.. _Display_Image:
+
+Display an Image
+*****************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+* Load an image using :imread:`imread <>`
+* Create a named window (using :named_window:`namedWindow <>`)
+* Display an image in an OpenCV window (using :imshow:`imshow <>`)
+
+Code
+=====
+
+Here it is:
+
+.. code-block:: cpp
+
+   #include <cv.h>
+   #include <highgui.h>
+
+   using namespace cv;
+
+   int main( int argc, char** argv )
+   {
+    Mat image;
+    image = imread( argv[1], 1 );
+
+    if( argc != 2 || !image.data )
+      { 
+        printf( "No image data \n" );
+        return -1; 
+      }
+
+    namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
+    imshow( "Display Image", image );
+
+    waitKey(0);
+
+    return 0;
+   }
+
+
+Explanation
+============
+
+#. .. code-block:: cpp
+
+      #include <cv.h>
+      #include <highgui.h>
+   
+      using namespace cv;
+
+   These are OpenCV headers:
+
+   * *cv.h* : Main OpenCV functions
+   * *highgui.h* : Graphical User Interface (GUI) functions
+
+   Now, let's analyze the *main* function:
+
+#. .. code-block:: cpp 
+
+      Mat image;
+   
+   We create a Mat object to store the data of the image to load.
+
+#. .. code-block:: cpp
+    
+      image = imread( argv[1], 1 );
+
+   Here, we called the function :imread:`imread <>` which basically loads the image specified by the first argument (in this case *argv[1]*). The second argument is by default.
+
+#. After checking that the image data was loaded correctly, we want to display our image, so we create a window:
+
+   .. code-block:: cpp
+
+      namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
+
+
+   :named_window:`namedWindow <>` receives as arguments the window name ("Display Image") and an additional argument that defines windows properties. In this case **CV_WINDOW_AUTOSIZE** indicates that the window will adopt the size of the image to be displayed.
+
+#. Finally, it is time to show the image, for this we use :imshow:`imshow <>` 
+
+   .. code-block:: cpp
+  
+      imshow( "Display Image", image )
+
+#. Finally, we want our window to be displayed until the user presses a key (otherwise the program would end far too quickly):
+
+   .. code-block:: cpp
+ 
+      waitKey(0);
+
+   We use the :wait_key:`waitKey <>` function, which allow us to wait for a keystroke during a number of milliseconds (determined by the argument). If the argument is zero, then it will wait indefinitely.
+
+Result
+=======
+
+* Compile your code and then run the executable giving a image path as argument:
+
+  .. code-block:: bash
+ 
+     ./DisplayImage HappyFish.jpg
+
+* You should get a nice window as the one shown below:
+
+  .. image:: images/Display_Image_Tutorial_Result.png
+     :alt: Display Image Tutorial - Final Result
+     :align: center 

doc/tutorials/Drawing_1.rst

@@ -0,0 +1,12 @@
+.. _Drawing_1:
+
+Basic Drawing
+****************
+
+
+Result
+=======
+
+.. image:: images/Adding_Images_Tutorial_Result_0.png
+   :alt: Blending Images Tutorial - Final Result
+   :align: center 

doc/tutorials/Drawing_2.rst

@@ -0,0 +1,7 @@
+.. _Drawing_2:
+
+Fancy Drawing!
+****************
+
+Result
+========

doc/tutorials/Linux_Eclipse_Usage.rst

@@ -0,0 +1,243 @@
+.. _Linux_Eclipse_Usage:
+
+Using OpenCV with Eclipse (plugin CDT)
+****************************************
+
+.. note::
+   For me at least, this works, is simple and quick. Suggestions are welcome
+
+Prerequisites
+===============
+
+#. Having installed `Eclipse <http://www.eclipse.org/>`_ in your workstation (only the CDT plugin for C/C++ is needed). You can follow the following steps:
+
+   * Go to the Eclipse site  
+
+   * Download `Eclipse IDE for C/C++ Developers <http://www.eclipse.org/downloads/packages/eclipse-ide-cc-developers/heliossr2>`_ . Choose the link according to your workstation.
+
+#. Having installed OpenCV. If not yet, go :ref:`here <Linux_Installation>`
+
+Making a project
+=================
+
+#. Start Eclipse. Just run the executable that comes in the folder. 
+
+#. Go to **File -> New -> C/C++ Project**
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-0.png
+      :height: 400px 
+      :alt: Eclipse Tutorial Screenshot 0
+      :align: center
+
+#. Choose a name for your project (i.e. DisplayImage). An **Empty Project** should be okay for this example. 
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-1.png
+      :height: 400px 
+      :alt: Eclipse Tutorial Screenshot 1
+      :align: center
+
+#. Leave everything else by default. Press **Finish**. 
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-2.png
+      :height: 400px 
+      :alt: Eclipse Tutorial Screenshot 2
+      :align: center
+
+#. Your project (in this case DisplayImage) should appear in the **Project Navigator** (usually at the left side of your window).
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-3.png
+      :height: 400px 
+      :alt: Eclipse Tutorial Screenshot 3
+      :align: center
+
+
+#. Now, let's add a source file using OpenCV:
+
+   * Right click on **DisplayImage** (in the Navigator). **New -> Folder** . 
+
+     .. image:: images/Eclipse_Tutorial_Screenshot-4.png
+        :height: 400px 
+        :alt: Eclipse Tutorial Screenshot 4
+        :align: center
+
+   * Name your folder **src** and then hit **Finish**
+
+     .. image:: images/Eclipse_Tutorial_Screenshot-5.png
+        :height: 400px 
+        :alt: Eclipse Tutorial Screenshot 5
+        :align: center
+
+   * Right click on your newly created **src** folder. Choose **New source file**:
+
+     .. image:: images/Eclipse_Tutorial_Screenshot-6.png
+        :height: 400px 
+        :alt: Eclipse Tutorial Screenshot 6
+        :align: center
+
+   * Call it **DisplayImage.cpp**. Hit **Finish**
+
+     .. image:: images/Eclipse_Tutorial_Screenshot-7.png
+        :height: 400px 
+        :alt: Eclipse Tutorial Screenshot 7
+        :align: center
+
+#. So, now you have a project with a empty .cpp file. Let's fill it with some sample code (in other words, copy and paste the snippet below):
+
+   .. code-block:: cpp
+
+      #include <cv.h>
+      #include <highgui.h>
+
+      using namespace cv;
+
+      int main( int argc, char** argv )
+      {
+        Mat image;
+        image = imread( argv[1], 1 );
+
+        if( argc != 2 || !image.data )
+          { 
+            printf( "No image data \n" );
+            return -1; 
+          }
+
+        namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
+        imshow( "Display Image", image );
+
+        waitKey(0);
+
+        return 0;
+      }
+
+#. We are only missing one final step: To tell OpenCV where the OpenCV headers and libraries are. For this, do the following:
+
+   * Go to  **Project-->Properties**
+
+     .. image:: images/Eclipse_Tutorial_Screenshot-8.png
+        :height: 400px 
+        :alt: Eclipse Tutorial Screenshot 8
+        :align: center
+
+    * In **C/C++ Build**, click on **Settings**. At the right, choose the **Tool Settings** Tab. Here we will enter the headers and libraries info:
+
+      a. In **GCC C++ Compiler**, go to **Includes**. In **Include paths(-l)** you should include the path of the folder where opencv was installed. In our example, this is: 
+         ::
+
+         /usr/local/include/opencv
+
+         .. image:: images/Eclipse_Tutorial_Screenshot-9.png
+            :height: 400px 
+            :alt: Eclipse Tutorial Screenshot 9
+            :align: center
+
+         .. note::
+            If you do not know where your opencv files are, open the **Terminal** and type: 
+
+            .. code-block:: bash
+            
+               pkg-config --cflags opencv
+
+            For instance, that command gave me this output:
+
+            .. code-block:: bash
+
+               -I/usr/local/include/opencv -I/usr/local/include 
+
+        
+      b. Now go to **GCC C++ Linker**,there you have to fill two spaces:
+
+          * In **Library search path (-L)** you have to write the path to where the opencv libraries reside, in my case the path is:
+            ::
+          
+            /usr/local/lib
+
+          * In **Libraries(-l)** add the OpenCV libraries that you may need. Usually just the 3 first on the list below are enough (for simple applications) . In my case, I am putting all of them since I plan to use the whole bunch:
+
+
+            * opencv_core      
+            * opencv_imgproc     
+            * opencv_highgui
+            * opencv_ml       
+            * opencv_video      
+            * opencv_features2d
+            * opencv_calib3d   
+            * opencv_objdetect   
+            * opencv_contrib
+            * opencv_legacy    
+            * opencv_flann
+          
+          .. image:: images/Eclipse_Tutorial_Screenshot-10.png
+             :height: 400px 
+             :alt: Eclipse Tutorial Screenshot 10
+             :align: center 
+
+          .. note::
+
+             If you don't know where your libraries are (or you are just psychotic and want to make sure the path is fine), type in **Terminal**:
+
+             .. code-block:: bash
+            
+                pkg-config --libs opencv
+
+             My output (in case you want to check) was:
+
+             .. code-block:: bash
+
+                -L/usr/local/lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann  
+
+          Now you are done. Click **OK**
+
+    * Your project should be ready to be built. For this, go to **Project->Build all**   
+ 
+      .. image:: images/Eclipse_Tutorial_Screenshot-11.png
+         :height: 400px 
+         :alt: Eclipse Tutorial Screenshot 11
+         :align: center 
+
+      In the Console you should get something like 
+
+      .. image:: images/Eclipse_Tutorial_Screenshot-12.png
+         :height: 200px 
+         :alt: Eclipse Tutorial Screenshot 12
+         :align: center 
+
+      If you check in your folder, there should be an executable there.
+
+Running the executable
+========================
+
+So, now we have an executable ready to run. If we were to use the Terminal, we would probably do something like:
+
+.. code-block:: bash
+
+   cd <DisplayImage_directory>
+   cd src
+   ./DisplayImage ../images/HappyLittleFish.jpg
+  
+Assuming that the image to use as the argument would be located in <DisplayImage_directory>/images/HappyLittleFish.jpg. We can still do this, but let's do it from Eclipse:
+
+
+#. Go to **Run->Run Configurations** 
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-13.png
+      :height: 300px 
+      :alt: Eclipse Tutorial Screenshot 13
+      :align: center 
+
+#. Under C/C++ Application you will see the name of your executable + Debug (if not, click over C/C++ Application a couple of times). Select the name (in this case **DisplayImage Debug**). 
+
+#. Now, in the right side of the window, choose the **Arguments** Tab. Write the path of the image file we want to open (path relative to the workspace/DisplayImage folder). Let's use **HappyLittleFish.jpg**:
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-14.png
+      :height: 300px 
+      :alt: Eclipse Tutorial Screenshot 14
+      :align: center 
+
+#. Click on the **Apply** button and then in Run. An OpenCV window should pop up with the fish image (or whatever you used).
+
+   .. image:: images/Eclipse_Tutorial_Screenshot-15.png
+      :alt: Eclipse Tutorial Screenshot 15
+      :align: center 
+
+
+#. Congratulations! You are ready to have fun with OpenCV using Eclipse.

doc/tutorials/Linux_GCC_Usage.rst

@@ -0,0 +1,84 @@
+.. _Linux_GCC_Usage:
+
+Using OpenCV with gcc and CMake
+*********************************
+
+.. note::
+   We assume that you have successfully installed OpenCV in your workstation.
+
+The easiest way of using OpenCV in your code is to use `CMake <http://www.cmake.org/>`_. A few advantages (taken from the Wiki):
+
+* No need to change anything when porting between Linux and Windows
+* Can easily be combined with other tools by CMake( i.e. Qt, ITK and VTK ) 
+
+If you are not familiar with CMake, checkout the `tutorial <http://www.cmake.org/cmake/help/cmake_tutorial.html>`_ on its website.
+
+Steps
+======
+
+Create a program using OpenCV
+-------------------------------
+
+Let's use a simple program such as DisplayImage.cpp shown below. 
+
+.. code-block:: cpp
+
+   #include <cv.h>
+   #include <highgui.h>
+
+   using namespace cv;
+
+   int main( int argc, char** argv )
+   {
+     Mat image;
+     image = imread( argv[1], 1 );
+
+     if( argc != 2 || !image.data )
+       { 
+         printf( "No image data \n" );
+         return -1; 
+       }
+
+     namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
+     imshow( "Display Image", image );
+
+     waitKey(0);
+
+     return 0;
+   }
+
+Create a CMake file
+---------------------
+Now you have to create your CMakeLists.txt file. It should look like this:
+
+.. code-block:: cmake
+
+   project( DisplayImage )
+   find_package( OpenCV REQUIRED )
+   add_executable( DisplayImage DisplayImage )
+   target_link_libraries( DisplayImage ${OpenCV_LIBS} )
+
+Generate the executable
+-------------------------
+This part is easy, just proceed as with any other project using CMake:
+
+.. code-block:: bash
+
+   cd <DisplayImage_directory>
+   cmake .
+   make
+
+Result
+--------
+By now you should have an executable (called DisplayImage in this case). You just have to run it giving an image location as an argument, i.e.:
+
+.. code-block:: bash
+
+   ./DisplayImage lena.jpg
+
+You should get a nice window as the one shown below:
+
+.. image:: images/GCC_CMake_Example_Tutorial.png
+   :alt: Display Image - Lena
+   :align: center
+

doc/tutorials/Linux_Installation.rst

@@ -0,0 +1,85 @@
+.. _Linux_Installation:
+
+Installation in Linux
+***********************
+These steps have been tested for Ubuntu 10.04 but should work with other distros.
+
+Required packages
+==================
+
+  * GCC 4.x or later. This can be installed with
+
+    .. code-block:: bash
+
+       sudo apt-get install build-essential 
+ 
+  * CMake 2.6 or higher
+  * Subversion (SVN) client
+  * GTK+2.x or higher, including headers
+  * pkgconfig
+  * libpng, zlib, libjpeg, libtiff, libjasper with development files (e.g. libpjeg-dev)
+  * Python 2.3 or later with developer packages (e.g. python-dev)
+  * SWIG 1.3.30 or later
+  * libavcodec
+  * libdc1394 2.x 
+
+All the libraries above can be installed via Terminal or by using Synaptic Manager
+
+Getting OpenCV source code 
+============================
+
+You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest snapshot from the SVN repository:
+
+Getting the latest stable OpenCV version
+------------------------------------------
+
+* Go to http://sourceforge.net/projects/opencvlibrary
+
+* Download the source tarball and unpack it
+
+
+Getting the cutting-edge OpenCV from SourceForge SVN repository
+-----------------------------------------------------------------
+
+Launch SVN client and checkout either
+
+a. the current OpenCV snapshot from here: https://code.ros.org/svn/opencv/trunk
+
+#. or the latest tested OpenCV snapshot from here: http://code.ros.org/svn/opencv/tags/latest_tested_snapshot
+
+In Ubuntu it can be done using the following command, e.g.:
+
+.. code-block:: bash
+
+   cd ~/<my_working _directory>
+   svn co https://code.ros.org/svn/opencv/trunk  
+ 
+
+Building OpenCV from source using CMake, using the command line
+================================================================
+
+#. Create a temporary directory, which we denote as <cmake_binary_dir>, where you want to put the generated Makefiles, project files as well the object filees and output binaries
+
+#. Enter the <cmake_binary_dir> and type
+
+   .. code-block:: bash
+     
+      cmake [<some optional parameters>] <path to the OpenCV source directory>
+
+   For example
+
+   .. code-block:: bash
+       
+      cd ~/opencv
+      mkdir release
+      cd release
+      cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX= /usr/local
+       
+#. Enter the created temporary directory (<cmake_binary_dir>) and proceed with:
+
+   .. code-block:: bash
+      
+      make
+      sudo make install
+
+

doc/tutorials/Load_Save_Image.rst

@@ -0,0 +1,122 @@
+.. _Load_Save_Image:
+
+Load and Save an Image
+***********************
+
+.. note::
+
+   We assume that by now you know:
+
+   * Load an image using :imread:`imread <>`
+   * Display an image in an OpenCV window (using :imshow:`imshow <>`)
+ 
+Goals
+======
+
+In this tutorial you will learn how to:
+
+* Transform an image from RGB to Grayscale format by using :cvt_color:`cvtColor <>`
+* Save your transformed image in a file on disk (using :imwrite:`imwrite <>`)
+
+Code
+======
+
+Here it is:
+
+.. code-block:: cpp
+   :linenos:
+
+   #include <cv.h>
+   #include <highgui.h>
+
+   using namespace cv;
+
+   int main( int argc, char** argv )
+   {
+    char* imageName = argv[1];
+
+    Mat image; 
+    image = imread( imageName, 1 );
+  
+    if( argc != 2 || !image.data )
+    {
+      printf( " No image data \n " );
+      return -1;
+    }
+
+    Mat gray_image;
+    cvtColor( image, gray_image, CV_RGB2GRAY );
+
+    imwrite( "../../images/Gray_Image.png", gray_image );
+
+    namedWindow( imageName, CV_WINDOW_AUTOSIZE );
+    namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );
+
+    imshow( imageName, image );
+    imshow( "Gray image", gray_image ); 
+
+    waitKey(0);
+
+    return 0;
+   }
+
+Explanation
+============
+
+#. We begin by:
+
+   * Creating a Mat object to store the image information
+   * Load an image using :imread:`imread <>`, located in the path given by *imageName*. Fort this example, assume you are loading a RGB image.
+   
+#. Now we are going to convert our image from RGB to Grayscale format. OpenCV has a really nice function to do this kind of transformations: 
+
+   .. code-block:: cpp
+     
+      cvtColor( image, gray_image, CV_RGB2GRAY );
+
+   As you can see, :cvt_color:`cvtColor <>` takes as arguments:
+
+   * a source image (*image*) 
+   * a destination image (*gray_image*), in which we will save the converted image.
+
+   And an additional parameter that indicates what kind of transformation will be performed. In this case we use **CV_RGB2GRAY** (self-explanatory).
+
+#. So now we have our new *gray_image* and want to save it on disk (otherwise it will get lost after the program ends). To save it, we will use a function analagous to :imread:`imread <>`: :imwrite:`imwrite <>`
+
+   .. code-block:: cpp
+
+      imwrite( "../../images/Gray_Image.png", gray_image );   
+
+   Which will save our *gray_image* as *Gray_Image.png* in the folder *images* located two levels up of my current location.
+
+#. Finally, let's check out the images. We create 02 windows and use them to show the original image as well as the new one:
+
+   .. code-block:: cpp
+
+      namedWindow( imageName, CV_WINDOW_AUTOSIZE );
+      namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );
+
+      imshow( imageName, image );
+      imshow( "Gray image", gray_image );
+
+#. Add the usual *waitKey(0)* for the program to wait forever until the user presses a key.
+
+
+Result
+=======
+
+When you run your program you should get something like this:
+
+ .. image:: images/Load_Save_Image_Result_1.png
+    :alt: Load Save Image Result 1
+    :height: 400px
+    :align: center
+
+And if you check in your folder (in my case *images*), you should have a newly .png file named *Gray_Image.png*:
+
+ .. image:: images/Load_Save_Image_Result_2.png
+    :alt: Load Save Image Result 2
+    :height: 250px
+    :align: center
+
+Congratulations, you are done with this tutorial! 

doc/tutorials/tutorials.rst

@@ -3,8 +3,162 @@ OpenCV Tutorials
 #################
 
 .. toctree::
-   :maxdepth: 2
 
-   prerequisites.rst
-   features2d.rst 
-   calib3d.rst
+The following links describe a set of basic OpenCV  tutorials. All the source code mentioned here is provide as part of the OpenCV regular releases, so check before you start copy & pasting the code. The list of tutorials below is automatically generated from reST files located in our SVN repository.
+
+.. note::
+   YouTube videos yet to come...we have to think about them!
+
+As always, we would be happy to hear your comments and receive your contributions on any tutorial.
+
+* **INSTALLATION**
+
+  * :ref:`Linux_Installation`
+
+     =========== ======================================================
+     |Install_1| *Title:* **Installation steps in Linux**
+
+	         *Compatibility:* > OpenCV 2.0
+
+	         We will learn how to setup OpenCV in your computer!
+    
+     =========== ======================================================
+    
+     .. |Install_1| image:: images/ubuntu_logo.jpeg
+                    :height: 120px
+
+
+
+* **USAGE AND COMPILATION**
+
+  * :ref:`Linux_GCC_Usage`
+
+     =========== ======================================================
+      |Usage_1|  *Title:* **Using OpenCV with gcc (and CMake)**
+
+	         *Compatibility:* > OpenCV 2.0
+
+	         We will learn how to compile your first project using gcc and CMake
+    
+     =========== ======================================================
+    
+     .. |Usage_1| image:: images/gccegg-65-2.png
+                  :height: 120px
+
+
+  * :ref:`Linux_Eclipse_Usage`
+
+     =========== ======================================================
+      |Usage_2|  *Title:* **Using OpenCV with Eclipse (CDT plugin)**
+
+	         *Compatibility:* > OpenCV 2.0
+
+	         We will learn how to compile your first project using the Eclipse environment
+    
+     =========== ======================================================
+    
+     .. |Usage_2| image:: images/eclipse_cpp_logo.jpeg
+                  :height: 120px
+
+* **BEGINNERS SECTION**
+
+  * :ref:`Display_Image`
+
+     =============== ======================================================
+      |Beginners_1|  *Title:* **Display an Image**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to display an image using OpenCV
+    
+     =============== ======================================================
+    
+     .. |Beginners_1| image:: images/Display_Image_Tutorial_Result.png
+                      :height: 150px
+
+
+  * :ref:`Load_Save_Image`
+
+     =============== ======================================================
+      |Beginners_2|  *Title:* **Load and save an Image**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to save an Image in OpenCV...plus a small conversion to grayscale
+    
+     =============== ======================================================
+    
+     .. |Beginners_2| image:: images/Load_Save_Image_Result_1.png
+                      :height: 150px
+
+  * :ref:`Basic_Linear_Transform`
+
+     =============== ======================================================
+      |Beginners_3|  *Title:* **Changing the contrast and brightness of an image**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to change our image appearance!
+    
+     =============== ======================================================
+    
+     .. |Beginners_3| image:: images/Basic_Linear_Transform_Tutorial_Result_0.png
+                      :height: 200px
+
+
+  * :ref:`Adding_Images`
+
+     =============== ======================================================
+      |Beginners_4|  *Title:* **Linear Blending**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to blend two images!
+    
+     =============== ======================================================
+    
+     .. |Beginners_4| image:: images/Adding_Images_Tutorial_Result_0.png
+                      :height: 200px
+
+
+  * :ref:`Adding_Trackbars`
+
+     =============== ======================================================
+      |Beginners_5|  *Title:* **Creating Trackbars**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to add a Trackbar to our applications
+    
+     =============== ======================================================
+    
+     .. |Beginners_5| image:: images/Adding_Trackbars_Tutorial_Cover.png
+                      :height: 200px
+
+  * :ref:`Drawing_1`
+
+     =============== ======================================================
+      |Beginners_6|  *Title:* **Basic Drawing**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will learn how to draw simple geometry with OpenCV!
+    
+     =============== ======================================================
+    
+     .. |Beginners_6| image:: images/Drawing_1_Tutorial_Result_0.png
+                      :height: 200px
+
+  * :ref:`Drawing_2`
+
+     =============== ======================================================
+      |Beginners_7|  *Title:* **Cool Drawing**
+
+	             *Compatibility:* > OpenCV 2.0
+
+	             We will draw some *fancy-looking* stuff using OpenCV!
+    
+     =============== ======================================================
+    
+     .. |Beginners_7| image:: images/Drawing_1_Tutorial_Result_0.png
+                      :height: 200px