ml_svm_tutorials version note added

Added note to point out code is for version 3.0 despite compatibility of
tutorial > version 2.0

diff --git a/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown b/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown
index 6bc5abb..5cc4bc5 100644 (file)
--- a/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown
+++ b/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.markdown
@@ -94,6 +94,8 @@ the weight vector \f$\beta\f$ and the bias \f$\beta_{0}\f$ of the optimal hyperp
 Source Code
 -----------
 
+@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html#introductiontosvms)
+
 @include cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
 
 Explanation

diff --git a/doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown b/doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown
index 4f8f8f3..68f4d44 100644 (file)
--- a/doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown
+++ b/doc/tutorials/ml/non_linear_svms/non_linear_svms.markdown
@@ -89,6 +89,9 @@ Source Code
 You may also find the source code in `samples/cpp/tutorial_code/ml/non_linear_svms` folder of the OpenCV source library or
 [download it from here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
 
+@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code
+using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/doc/tutorials/ml/non_linear_svms/non_linear_svms.html#nonlinearsvms)
+
 @include cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
 
 Explanation