From eeaf6192e37a7b1e9d449d4a5198c8bc3d7b6eaa Mon Sep 17 00:00:00 2001 From: Maria Dimashova Date: Tue, 11 Oct 2011 14:42:49 +0000 Subject: [PATCH] minor change of doc --- doc/user_guide/ug_traincascade.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/user_guide/ug_traincascade.rst b/doc/user_guide/ug_traincascade.rst index 429c10639..b2073035d 100644 --- a/doc/user_guide/ug_traincascade.rst +++ b/doc/user_guide/ug_traincascade.rst @@ -30,6 +30,7 @@ and ``opencv_haartraining`` can not load a classifier in another format for the Also there are some auxilary utilities related to the cascade classifier training. * ``opencv_createsamples`` is used to prepare the training base of positive samples and the test samples too. ``opencv_createsamples`` produces the positive samples dataset in a format that applicable (supported) both in ``opencv_haartraining`` and ``opencv_traincascade`` applications. + * ``opencv_performance`` may be used to evaluate the quality of the classifier trained by ``opencv_haartraining`` application only. It takes a collection of marked up images, applies the classifier and outputs the performance, i.e. number of found objects, number of missed objects, number of false alarms and other information. Since ``opencv_haartraining`` is obsolete application, only ``opencv_traincascade`` will be described futher. ``opencv_createsamples`` utility is needed