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doc: added maxSize parameter to CascadeClassifier::detectMultiScale

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Kirill Kornyakov 2011-08-01 08:23:03 +00:00
parent e746b3e8ae
commit 5868875ab9
1 changed files with 3 additions and 1 deletions
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4
modules/objdetect/doc/cascade_classification.rst
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@ -188,7 +188,7 @@ CascadeClassifier::detectMultiScale
---------------------------------------
Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
.. ocv:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
.. ocv:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size(), Size maxSize=Size())
.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize]]]]]) -> objects
.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image, rejectLevels, levelWeights[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize[, outputRejectLevels]]]]]]) -> objects
@ -211,6 +211,8 @@ Detects objects of different sizes in the input image. The detected objects are
:param minSize: Minimum possible object size. Objects smaller than that are ignored.
:param maxSize: Maximum possible object size. Objects larger than that are ignored.
CascadeClassifier::setImage