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Fixed multiple issues in docs (bug #2410)

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Daniil Osokin 2013-01-31 15:15:13 +04:00
parent 53b0df87f1
commit fe5b9df45f
4 changed files with 4 additions and 5 deletions
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1
modules/core/doc/drawing_functions.rst
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@ -245,7 +245,6 @@ Calculates the width and height of a text string.
The function ``getTextSize`` calculates and returns the size of a box that contains the specified text.
That is, the following code renders some text, the tight box surrounding it, and the baseline: ::
// Use "y" to show that the baseLine is about
string text = "Funny text inside the box";
int fontFace = FONT_HERSHEY_SCRIPT_SIMPLEX;
double fontScale = 2;

2
modules/highgui/doc/reading_and_writing_images_and_video.rst
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@ -487,7 +487,7 @@ VideoWriter constructors
:param filename: Name of the output video file.
:param fourcc: 4-character code of codec used to compress the frames. For example, ``CV_FOURCC('P','I','M,'1')`` is a MPEG-1 codec, ``CV_FOURCC('M','J','P','G')`` is a motion-jpeg codec etc.
:param fourcc: 4-character code of codec used to compress the frames. For example, ``CV_FOURCC('P','I','M,'1')`` is a MPEG-1 codec, ``CV_FOURCC('M','J','P','G')`` is a motion-jpeg codec etc. List of codes can be obtained at `Video Codecs by FOURCC <http://www.fourcc.org/codecs.php>`_ page.
:param fps: Framerate of the created video stream.

4
modules/ml/doc/boosting.rst
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@ -169,11 +169,11 @@ CvBoost::predict
----------------
Predicts a response for an input sample.
.. ocv:function:: float CvBoost::predict( const Mat& sample, const Mat& missing=Mat(), const Range& slice=Range::all(), bool rawMode=false, bool returnSum=false ) const
.. ocv:function:: float CvBoost::predict( const Mat& sample, const Mat& missing=Mat(), const Range& slice=Range::all(), bool raw_mode=false, bool return_sum=false ) const
.. ocv:function:: float CvBoost::predict( const CvMat* sample, const CvMat* missing=0, CvMat* weak_responses=0, CvSlice slice=CV_WHOLE_SEQ, bool raw_mode=false, bool return_sum=false ) const
.. ocv:pyfunction:: cv2.Boost.predict(sample[, missing[, slice[, rawMode[, returnSum]]]]) -> retval
.. ocv:pyfunction:: cv2.Boost.predict(sample[, missing[, slice[, raw_mode[, return_sum]]]]) -> retval
:param sample: Input sample.

2
modules/video/doc/motion_analysis_and_object_tracking.rst
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@ -23,7 +23,7 @@ Calculates an optical flow for a sparse feature set using the iterative Lucas-Ka
:param nextPts: output vector of 2D points (with single-precision floating-point coordinates) containing the calculated new positions of input features in the second image; when ``OPTFLOW_USE_INITIAL_FLOW`` flag is passed, the vector must have the same size as in the input.
:param status: output status vector; each element of the vector is set to 1 if the flow for the corresponding features has been found, otherwise, it is set to 0.
:param status: output status vector (of unsigned chars); each element of the vector is set to 1 if the flow for the corresponding features has been found, otherwise, it is set to 0.
:param err: output vector of errors; each element of the vector is set to an error for the corresponding feature, type of the error measure can be set in ``flags`` parameter; if the flow wasn't found then the error is not defined (use the ``status`` parameter to find such cases).