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doc: added maxSize parameter to CascadeClassifier::detectMultiScale
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@ -188,7 +188,7 @@ CascadeClassifier::detectMultiScale
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Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
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Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
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.. ocv:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
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.. 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())
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.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize]]]]]) -> objects
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.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize]]]]]) -> objects
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.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image, rejectLevels, levelWeights[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize[, outputRejectLevels]]]]]]) -> objects
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.. ocv:pyfunction:: cv2.CascadeClassifier.detectMultiScale(image, rejectLevels, levelWeights[, scaleFactor[, minNeighbors[, flags[, minSize[, maxSize[, outputRejectLevels]]]]]]) -> objects
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@ -211,6 +211,8 @@ Detects objects of different sizes in the input image. The detected objects are
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:param minSize: Minimum possible object size. Objects smaller than that are ignored.
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:param minSize: Minimum possible object size. Objects smaller than that are ignored.
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:param maxSize: Maximum possible object size. Objects larger than that are ignored.
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CascadeClassifier::setImage
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CascadeClassifier::setImage
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