fixed #1140 and made some other updates of features2d docs
This commit is contained in:
@@ -5,10 +5,6 @@ Object Categorization
|
||||
|
||||
This section describes approaches based on local 2D features and used to categorize objects.
|
||||
|
||||
.. index:: BOWTrainer
|
||||
|
||||
.. _BOWTrainer:
|
||||
|
||||
BOWTrainer
|
||||
----------
|
||||
.. ocv:class:: BOWTrainer
|
||||
@@ -36,9 +32,6 @@ Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. ::
|
||||
...
|
||||
};
|
||||
|
||||
|
||||
.. index:: BOWTrainer::add
|
||||
|
||||
BOWTrainer::add
|
||||
-------------------
|
||||
.. ocv:function:: void BOWTrainer::add( const Mat& descriptors )
|
||||
@@ -47,7 +40,6 @@ BOWTrainer::add
|
||||
|
||||
:param descriptors: Descriptors to add to a training set. Each row of the ``descriptors`` matrix is a descriptor.
|
||||
|
||||
.. index:: BOWTrainer::getDescriptors
|
||||
|
||||
BOWTrainer::getDescriptors
|
||||
------------------------------
|
||||
@@ -83,7 +75,8 @@ BOWKMeansTrainer
|
||||
----------------
|
||||
.. ocv:class:: BOWKMeansTrainer
|
||||
|
||||
:ref:`kmeans` -based class to train visual vocabulary using the *bag of visual words* approach ::
|
||||
:ref:`kmeans` -based class to train visual vocabulary using the *bag of visual words* approach.
|
||||
::
|
||||
|
||||
class BOWKMeansTrainer : public BOWTrainer
|
||||
{
|
||||
@@ -100,14 +93,11 @@ BOWKMeansTrainer
|
||||
...
|
||||
};
|
||||
|
||||
BOWKMeansTrainer::BOWKMeansTrainer
|
||||
----------------
|
||||
.. ocv:function:: BOWKMeansTrainer::BOWKMeansTrainer( int clusterCount, const TermCriteria& termcrit=TermCriteria(), int attempts=3, int flags=KMEANS_PP_CENTERS );
|
||||
|
||||
To understand constructor parameters, see
|
||||
:ref:`kmeans` function
|
||||
arguments.
|
||||
|
||||
.. index:: BOWImgDescriptorExtractor
|
||||
|
||||
.. _BOWImgDescriptorExtractor:
|
||||
To understand constructor parameters, see :ref:`kmeans` function arguments.
|
||||
|
||||
BOWImgDescriptorExtractor
|
||||
-------------------------
|
||||
|
||||
Reference in New Issue
Block a user