From: Lorena García Date: Thu, 3 Sep 2015 05:38:25 +0000 (+0200) Subject: ml_svm_tutorials version note added X-Git-Tag: accepted/tizen/6.0/unified/20201030.111113~2239^2~1 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=c1392f64a44c92b0e932b48aae2ba1017fccfaef;p=platform%2Fupstream%2Fopencv.git 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 --- 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 --- 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