message: Corrected typo in py_histogram_begins tutorial
diff: @@ -46,7 +46,7 @@ histograms](http://docs.opencv.org/doc/tutorials/imgproc/histograms/histogram_ca
  So what you do is simply split the whole histogram to 16 sub-parts and value of each sub-part is the
  sum of all pixel count in it. This each sub-part is called "BIN". In first case, number of bins
  -where 256 (one for each pixel) while in second case, it is only 16. BINS is represented by the term
  +were 256 (one for each pixel) while in second case, it is only 16. BINS is represented by the term
  **histSize** in OpenCV docs.
  **DIMS** : It is the number of parameters for which we collect the data. In this case, we collect
  