fixed several typos in docs; make MLData capable of reading csv files with much more columns than before

doc/core_basic_structures.tex

@@ -1725,7 +1725,7 @@ Mat\& Mat::setTo(const Scalar\& s, const Mat\& mask=Mat());
 
 This is the advanced variant of \texttt{Mat::operator=(const Scalar\& s)} operator.
 
-\cvCppFunc{reshape}
+\cvCppFunc{Mat::reshape}
 Changes the 2D matrix's shape and/or the number of channels without copying the data.
 
 \cvdefCpp{
@@ -1758,7 +1758,7 @@ Mat pointMat = Mat(vec). // convert vector to Mat, O(1) operation
 \end{lstlisting} 
 
 
-\cvCppFunc{Mat::t()}
+\cvCppFunc{Mat::t}
 Transposes the matrix
 
 \cvdefCpp{

doc/core_drawing_functions.tex

@@ -725,18 +725,18 @@ public:
     // from the left-most point to the right most,
     // not to depend on the ordering of pt1 and pt2 parameters
     LineIterator(const Mat& img, Point pt1, Point pt2,
-                 int connectivity=8, bool leftToRight=false);newline
+                 int connectivity=8, bool leftToRight=false);
     // returns pointer to the current line pixel
-    uchar* operator *();newline
+    uchar* operator *();
     // move the iterator to the next pixel
-    LineIterator& operator ++();newline
+    LineIterator& operator ++();
-    LineIterator operator ++(int);newline
+    LineIterator operator ++(int);
 
     // internal state of the iterator
-    uchar* ptr;newline
+    uchar* ptr;
-    int err, count;newline
+    int err, count;
-    int minusDelta, plusDelta;newline
+    int minusDelta, plusDelta;
-    int minusStep, plusStep;newline
+    int minusStep, plusStep;
 };
 \end{lstlisting}
 

doc/core_introduction.tex

@@ -183,7 +183,7 @@ void drawCircle(Mat &image, int R, Point center)
 }
 \end{lstlisting}
 
-\section{Namespace \texttt{cv} and Function Naming}
+\section{Namespace cv and Function Naming}
 
 All the newly introduced classes and functions are placed into \texttt{cv} namespace. Therefore, to access this functionality from your code, use \texttt{cv::} specifier or \texttt{"using namespace cv;"} directive:
 \begin{lstlisting}

doc/core_utilities_system_functions.tex

@@ -646,18 +646,18 @@ public:
     // various constructors and the copy operation
     Exception() { code = 0; line = 0; }
     Exception(int _code, const string& _err,
-              const string& _func, const string& _file, int _line);newline
+              const string& _func, const string& _file, int _line);
-    Exception(const Exception& exc);newline
+    Exception(const Exception& exc);
-    Exception& operator = (const Exception& exc);newline
+    Exception& operator = (const Exception& exc);
 
     // the error code
-    int code;newline
+    int code;
     // the error text message
-    string err;newline
+    string err;
     // function name where the error happened
-    string func;newline
+    string func;
     // the source file name where the error happened
-    string file;newline
+    string file;
     // the source file line where the error happened
     int line;
 };

doc/video_motion_tracking.tex

@@ -905,14 +905,14 @@ Kalman filter class
 class KalmanFilter
 {
 public:
-    KalmanFilter();newline
+    KalmanFilter();
-    KalmanFilter(int dynamParams, int measureParams, int controlParams=0);newline
+    KalmanFilter(int dynamParams, int measureParams, int controlParams=0);
-    void init(int dynamParams, int measureParams, int controlParams=0);newline
+    void init(int dynamParams, int measureParams, int controlParams=0);
     // predicts statePre from statePost
-    const Mat& predict(const Mat& control=Mat());newline
+    const Mat& predict(const Mat& control=Mat());
     // corrects statePre based on the input measurement vector
     // and stores the result to statePost. 
-    const Mat& correct(const Mat& measurement);newline
+    const Mat& correct(const Mat& measurement);
 
     Mat statePre;           // predicted state (x'(k)):
                             //    x(k)=A*x(k-1)+B*u(k)

modules/ml/src/data.cpp

@@ -139,14 +139,13 @@ static char *fgets_chomp(char *str, int n, FILE *stream)
 }
 
 
-int CvMLData :: read_csv(const char* filename)
+int CvMLData::read_csv(const char* filename)
 {
-    const int M = 50000;
+    const int M = 1000000;
     const char str_delimiter[3] = { ' ', delimiter, '\0' };
     FILE* file = 0;
     CvMemStorage* storage;
     CvSeq* seq;
-    char *buf;
     char *ptr;
     float* el_ptr;
     CvSeqReader reader;
@@ -161,7 +160,8 @@ int CvMLData :: read_csv(const char* filename)
         return -1;
 
     // read the first line and determine the number of variables
-    buf = new char[M];
+    std::vector<char> _buf(M);
+    char* buf = &_buf[0];
     if( !fgets_chomp( buf, M, file ))
     {
         fclose(file);
@@ -242,7 +242,6 @@ int CvMLData :: read_csv(const char* filename)
 
     cvReleaseMemStorage( &storage );
     delete []el_ptr;
-    delete []buf;
     return 0;
 }