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Like mentioned by Andrei Pavlenko after merging pullrequest #1206, a wrong

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ReST directive was used. Also fixed some other ReST directives that were
not correct and removed some warnings during buildbot checks.
This commit is contained in:
StevenPuttemans
2013-08-06 16:24:09 +02:00
parent b2d1d87ed1
commit ed76b2f98f
41 changed files with 208 additions and 208 deletions
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6
modules/legacy/doc/expectation_maximization.rst
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@@ -5,11 +5,11 @@ This section describes obsolete ``C`` interface of EM algorithm. Details of the
.. highlight:: cpp
.. Sample code::
.. note::
* : An example on using the Expectation Maximalization algorithm can be found at opencv_source_code/samples/cpp/em.cpp
* An example on using the Expectation Maximalization algorithm can be found at opencv_source_code/samples/cpp/em.cpp
* : PYTHON : An example using Expectation Maximalization for Gaussian Mixing can be found at opencv_source_code/samples/python2/gaussian_mix.py
* (Python) An example using Expectation Maximalization for Gaussian Mixing can be found at opencv_source_code/samples/python2/gaussian_mix.py
CvEMParams

4
modules/legacy/doc/feature_detection_and_description.rst
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@@ -75,7 +75,7 @@ Class containing a base structure for ``RTreeClassifier``. ::
void estimateQuantPercForPosteriors(float perc[2]);
};
.. Sample code::
.. note::
* : PYTHON : An example using Randomized Tree training for letter recognition can be found at opencv_source_code/samples/python2/letter_recog.py
@@ -101,7 +101,7 @@ Trains a randomized tree using an input set of keypoints.
:param num_quant_bits: Number of bits used for quantization.
.. Sample code::
.. note::
* : An example on training a Random Tree Classifier for letter recognition can be found at opencv_source_code\samples\cpp\letter_recog.cpp