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some more corrections in the docs
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@@ -62,19 +62,21 @@ FeatureEvaluator::setImage
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------------------------------
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.. cpp:function:: bool FeatureEvaluator::setImage(const Mat& img, Size origWinSize)
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Sets an image where the features are computed??.
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Assigns an image to feature evaluator.
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:param img: Matrix of the type ``CV_8UC1`` containing an image where the features are computed.
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:param origWinSize: Size of training images.
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The method assigns an image, where the features will be computed, to the feature evaluator.
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.. index:: FeatureEvaluator::setWindow
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FeatureEvaluator::setWindow
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-------------------------------
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.. cpp:function:: bool FeatureEvaluator::setWindow(Point p)
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Sets a window in the current image where the features are computed (called by ??).
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Assigns a window in the current image where the features will be computed.
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:param p: Upper left point of the window where the features are computed. Size of the window is equal to the size of training images.
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@@ -128,7 +130,7 @@ The cascade classifier class for object detection ::
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// structure for storing a tree node
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struct CV_EXPORTS DTreeNode
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{
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int featureIdx; // feature index on which is a split??
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int featureIdx; // index of the feature on which we perform the split
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float threshold; // split threshold of ordered features only
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int left; // left child index in the tree nodes array
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int right; // right child index in the tree nodes array
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@@ -270,7 +272,7 @@ CascadeClassifier::runAt
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:param pt: Upper left point of the window where the features are computed. Size of the window is equal to the size of training images.
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The function returns 1 if the cascade classifier detects an object in the given location.
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Otherwise, it returns ``si``, which is an index of the stage that first predicted that the given window is a background image.??
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Otherwise, it returns negated index of the stage at which the candidate has been rejected.
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.. index:: groupRectangles
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