From 5868875ab9b1b8fa7467850e7e122da8c45ade85 Mon Sep 17 00:00:00 2001 From: Kirill Kornyakov Date: Mon, 1 Aug 2011 08:23:03 +0000 Subject: [PATCH] doc: added maxSize parameter to CascadeClassifier::detectMultiScale --- modules/objdetect/doc/cascade_classification.rst | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/modules/objdetect/doc/cascade_classification.rst b/modules/objdetect/doc/cascade_classification.rst index 9db8e89156..a5d9619750 100644 --- a/modules/objdetect/doc/cascade_classification.rst +++ b/modules/objdetect/doc/cascade_classification.rst @@ -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& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size()) +.. ocv:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector& 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 -- GitLab