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Merge branch 4.x
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@@ -279,10 +279,14 @@ public:
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@param sigma The sigma of the Gaussian applied to the input image at the octave \#0. If your image
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is captured with a weak camera with soft lenses, you might want to reduce the number.
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@param enable_precise_upscale Whether to enable precise upscaling in the scale pyramid, which maps
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index \f$\texttt{x}\f$ to \f$\texttt{2x}\f$. This prevents localization bias. The option
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is disabled by default.
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*/
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CV_WRAP static Ptr<SIFT> create(int nfeatures = 0, int nOctaveLayers = 3,
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double contrastThreshold = 0.04, double edgeThreshold = 10,
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double sigma = 1.6);
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double sigma = 1.6, bool enable_precise_upscale = false);
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/** @brief Create SIFT with specified descriptorType.
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@param nfeatures The number of best features to retain. The features are ranked by their scores
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@@ -306,10 +310,14 @@ public:
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is captured with a weak camera with soft lenses, you might want to reduce the number.
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@param descriptorType The type of descriptors. Only CV_32F and CV_8U are supported.
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@param enable_precise_upscale Whether to enable precise upscaling in the scale pyramid, which maps
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index \f$\texttt{x}\f$ to \f$\texttt{2x}\f$. This prevents localization bias. The option
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is disabled by default.
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*/
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CV_WRAP static Ptr<SIFT> create(int nfeatures, int nOctaveLayers,
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double contrastThreshold, double edgeThreshold,
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double sigma, int descriptorType);
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double sigma, int descriptorType, bool enable_precise_upscale = false);
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CV_WRAP virtual String getDefaultName() const CV_OVERRIDE;
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