Fixed multiple issues in docs (bug #2410)

modules/core/doc/drawing_functions.rst

@@ -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;

modules/highgui/doc/reading_and_writing_images_and_video.rst

@@ -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.
 

modules/ml/doc/boosting.rst

@@ -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.
 

modules/video/doc/motion_analysis_and_object_tracking.rst

@@ -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).