some more changes
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@@ -2674,10 +2674,10 @@ protected:
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// loaded with DescriptorOneWay::Initialize, kd tree is used for finding minimum distances.
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virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
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std::vector<std::vector<DMatch> >& matches, int k,
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const std::vector<Mat>& masks, bool compactResult );
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InputArrayOfArrays masks, bool compactResult );
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virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
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std::vector<std::vector<DMatch> >& matches, float maxDistance,
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const std::vector<Mat>& masks, bool compactResult );
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InputArrayOfArrays masks, bool compactResult );
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Ptr<OneWayDescriptorBase> base;
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Params params;
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@@ -2737,10 +2737,10 @@ public:
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protected:
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virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
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std::vector<std::vector<DMatch> >& matches, int k,
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const std::vector<Mat>& masks, bool compactResult );
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InputArrayOfArrays masks, bool compactResult );
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virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
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std::vector<std::vector<DMatch> >& matches, float maxDistance,
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const std::vector<Mat>& masks, bool compactResult );
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InputArrayOfArrays masks, bool compactResult );
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void trainFernClassifier();
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void calcBestProbAndMatchIdx( const Mat& image, const Point2f& pt,
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