Fix whitespace errors.

cmake/checks/winrttest.cpp

@@ -2,5 +2,5 @@
 
 int main(int, char**)
 {
-	return 0;
+    return 0;
 }
\ No newline at end of file

cmake/templates/cvconfig.h.cmake

@@ -160,4 +160,3 @@
 /* Define to 1 if your processor stores words with the most significant byte
    first (like Motorola and SPARC, unlike Intel and VAX). */
 #cmakedefine WORDS_BIGENDIAN
-

doc/tutorials/introduction/windows_install/windows_install.rst

@@ -314,10 +314,10 @@ First we set an enviroment variable to make easier our work. This will hold the
 
    setx -m OPENCV_DIR D:\OpenCV\Build\x86\vc10     (suggested for Visual Studio 2010 - 32 bit Windows)
    setx -m OPENCV_DIR D:\OpenCV\Build\x64\vc10     (suggested for Visual Studio 2010 - 64 bit Windows)
-   
+
    setx -m OPENCV_DIR D:\OpenCV\Build\x86\vc11     (suggested for Visual Studio 2012 - 32 bit Windows)
    setx -m OPENCV_DIR D:\OpenCV\Build\x64\vc11     (suggested for Visual Studio 2012 - 64 bit Windows)
-   
+
 Here the directory is where you have your OpenCV binaries (*extracted* or *built*). You can have different platform (e.g. x64 instead of x86) or compiler type, so substitute appropriate value. Inside this you should have two folders called *lib* and *bin*. The -m should be added if you wish to make the settings computer wise, instead of user wise.
 
 If you built static libraries then you are done. Otherwise, you need to add the *bin* folders path to the systems path. This is cause you will use the OpenCV library in form of *\"Dynamic-link libraries\"* (also known as **DLL**). Inside these are stored all the algorithms and information the OpenCV library contains. The operating system will load them only on demand, during runtime. However, to do this he needs to know where they are. The systems **PATH** contains a list of folders where DLLs can be found. Add the OpenCV library path to this and the OS will know where to look if he ever needs the OpenCV binaries. Otherwise, you will need to copy the used DLLs right beside the applications executable file (*exe*) for the OS to find it, which is highly unpleasent if you work on many projects. To do this start up again the |PathEditor|_ and add the following new entry (right click in the application to bring up the menu):

modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst

@@ -1184,7 +1184,7 @@ Class for computing stereo correspondence using the block matching algorithm, in
 
 .. Sample code:
 
-   * : OCL : An example for using the stereoBM matching algorithm can be found at opencv_source_code/samples/ocl/stereo_match.cpp   
+   * : OCL : An example for using the stereoBM matching algorithm can be found at opencv_source_code/samples/ocl/stereo_match.cpp
 
 createStereoBM
 ------------------

modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst

@@ -145,6 +145,6 @@ Strecha C., Fua P. *BRIEF: Binary Robust Independent Elementary Features* ,
         ...
     };
 
-.. Sample code:: 
+.. Sample code::
 
    * : A complete BRIEF extractor sample can be found at opencv_source_code/samples/cpp/brief_match_test.cpp

modules/features2d/doc/object_categorization.rst

@@ -5,7 +5,7 @@ Object Categorization
 
 This section describes approaches based on local 2D features and used to categorize objects.
 
-.. Sample code:: 
+.. Sample code::
 
    * : A complete Bag-Of-Words sample can be found at opencv_source_code/samples/cpp/bagofwords_classification.cpp
 

modules/highgui/src/cap_ximea.cpp

@@ -138,7 +138,7 @@ void CvCaptureCAM_XIMEA::close()
 {
     if(frame)
         cvReleaseImage(&frame);
-    
+
     if(hmv)
     {
         xiStopAcquisition(hmv);
@@ -176,11 +176,11 @@ IplImage* CvCaptureCAM_XIMEA::retrieveFrame(int)
 {
     // update cvImage after format has changed
     resetCvImage();
-    
+
     // copy pixel data
     switch( image.frm)
     {
-    case XI_MONO8       : 
+    case XI_MONO8       :
     case XI_RAW8        : memcpy( frame->imageData, image.bp, image.width*image.height); break;
     case XI_MONO16      :
     case XI_RAW16       : memcpy( frame->imageData, image.bp, image.width*image.height*sizeof(WORD)); break;
@@ -210,9 +210,9 @@ void CvCaptureCAM_XIMEA::resetCvImage()
         {
         case XI_MONO8       :
         case XI_RAW8        : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 1); break;
-        case XI_MONO16      : 
+        case XI_MONO16      :
         case XI_RAW16       : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_16U, 1); break;
-        case XI_RGB24       : 
+        case XI_RGB24       :
         case XI_RGB_PLANAR  : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 3); break;
         case XI_RGB32       : frame = cvCreateImage(cvSize( image.width, image.height), IPL_DEPTH_8U, 4); break;
         default :
@@ -338,9 +338,9 @@ int  CvCaptureCAM_XIMEA::getBpp()
     {
     case XI_MONO8       :
     case XI_RAW8        : return 1;
-    case XI_MONO16      : 
+    case XI_MONO16      :
     case XI_RAW16       : return 2;
-    case XI_RGB24       : 
+    case XI_RGB24       :
     case XI_RGB_PLANAR  : return 3;
     case XI_RGB32       : return 4;
     default :

modules/ml/doc/k_nearest_neighbors.rst

@@ -15,7 +15,7 @@ The class implements K-Nearest Neighbors model as described in the beginning of
 
    * : PYTHON : An example of digit recognition using KNearest can be found at opencv_source/samples/python2/digits.py
    * : PYTHON : An example of grid search digit recognition using KNearest can be found at opencv_source/samples/python2/digits_adjust.py
-   * : PYTHON : An example of video digit recognition using KNearest can be found at opencv_source/samples/python2/digits_video.py   
+   * : PYTHON : An example of video digit recognition using KNearest can be found at opencv_source/samples/python2/digits_video.py
 
 CvKNearest::CvKNearest
 ----------------------

modules/ocl/perf/perf_gftt.cpp

@@ -55,14 +55,14 @@ PERFTEST(GoodFeaturesToTrack)
     double qualityLevel = 0.01;
 
     std::string images[] = { "rubberwhale1.png", "aloeL.jpg" };
-    
+
     std::vector<cv::Point2f> pts_gold, pts_ocl;
 
     for(size_t imgIdx = 0; imgIdx < (sizeof(images)/sizeof(std::string)); ++imgIdx)
     {
         Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE);
         CV_Assert(!frame.empty());
-        
+
         for(float minDistance = 0; minDistance < 4; minDistance += 3.0)
         {
             SUBTEST << "image = " << images[imgIdx] << "; ";

samples/android/camera-calibration/AndroidManifest.xml

 <?xml version="1.0" encoding="utf-8"?>
-<manifest xmlns:android="http://schemas.android.com/apk/res/android"
-    	  package="org.opencv.samples.cameracalibration"
-    	  android:versionCode="1"
-    	  android:versionName="1.0" >
-
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+          package="org.opencv.samples.cameracalibration"
+          android:versionCode="1"
+          android:versionName="1.0" >
+
     <application
-        android:label="@string/app_name"
-        android:icon="@drawable/icon"
+        android:label="@string/app_name"
+        android:icon="@drawable/icon"
         android:theme="@android:style/Theme.NoTitleBar.Fullscreen" >
-        
-        <activity android:name="CameraCalibrationActivity"
-            	  android:label="@string/app_name"
+
+        <activity android:name="CameraCalibrationActivity"
+                  android:label="@string/app_name"
                   android:screenOrientation="landscape"
-                  android:configChanges="keyboardHidden|orientation" >
-            <intent-filter>
-                <action android:name="android.intent.action.MAIN" />
-                <category android:name="android.intent.category.LAUNCHER" />
-            </intent-filter>
-        </activity>
+                  android:configChanges="keyboardHidden|orientation" >
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+        </activity>
     </application>
-    
+
     <supports-screens android:resizeable="true"
                       android:smallScreens="true"
                       android:normalScreens="true"
@@ -33,6 +33,6 @@
     <uses-feature android:name="android.hardware.camera" android:required="false"/>
     <uses-feature android:name="android.hardware.camera.autofocus" android:required="false"/>
     <uses-feature android:name="android.hardware.camera.front" android:required="false"/>
-    <uses-feature android:name="android.hardware.camera.front.autofocus" android:required="false"/>
-
-</manifest>
+    <uses-feature android:name="android.hardware.camera.front.autofocus" android:required="false"/>
+
+</manifest>