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Fix whitespace errors.

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This commit is contained in:
Roman Donchenko
2013-08-06 15:22:46 +04:00
parent dcaf923517
commit 2f780ed994
10 changed files with 36 additions and 37 deletions
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2
modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
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@@ -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
------------------

2
modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
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@@ -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

2
modules/features2d/doc/object_categorization.rst
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@@ -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

14
modules/highgui/src/cap_ximea.cpp
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@@ -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 :

2
modules/ml/doc/k_nearest_neighbors.rst
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@@ -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
----------------------

4
modules/ocl/perf/perf_gftt.cpp
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@@ -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] << "; ";