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grid-adapted feature detector made a proper Algorithm (ticket #1874)
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@ -508,13 +508,15 @@ public:
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* gridRows Grid rows count.
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* gridCols Grid column count.
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*/
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CV_WRAP GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector,
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CV_WRAP GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector=0,
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int maxTotalKeypoints=1000,
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int gridRows=4, int gridCols=4 );
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// TODO implement read/write
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virtual bool empty() const;
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AlgorithmInfo* info() const;
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protected:
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virtual void detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask=Mat() ) const;
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@ -133,15 +133,22 @@ CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense",
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obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
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obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale));
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CV_INIT_ALGORITHM(GridAdaptedFeatureDetector, "Feature2D.Grid",
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obj.info()->addParam(obj, "detector", (Ptr<Algorithm>&)obj.detector);
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obj.info()->addParam(obj, "maxTotalKeypoints", obj.maxTotalKeypoints);
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obj.info()->addParam(obj, "gridRows", obj.gridRows);
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obj.info()->addParam(obj, "gridCols", obj.gridCols));
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bool initModule_features2d(void)
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{
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Ptr<Algorithm> brief = createBriefDescriptorExtractor(), orb = createORB(),
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star = createStarDetector(), fastd = createFastFeatureDetector(), mser = createMSER(),
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dense = createDenseFeatureDetector(), gftt = createGFTTDetector(), harris = createHarrisDetector();
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dense = createDenseFeatureDetector(), gftt = createGFTTDetector(),
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harris = createHarrisDetector(), grid = createGridAdaptedFeatureDetector();
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return brief->info() != 0 && orb->info() != 0 && star->info() != 0 &&
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fastd->info() != 0 && mser->info() != 0 && dense->info() != 0 &&
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gftt->info() != 0 && harris->info() != 0;
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gftt->info() != 0 && harris->info() != 0 && grid->info() != 0;
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}
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}
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