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fix regression issues in Feature2D and DescriptorMatcher interfaces
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1ae27eb696
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@ -153,8 +153,8 @@ public:
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@param masks Masks for each input image specifying where to look for keypoints (optional).
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@param masks Masks for each input image specifying where to look for keypoints (optional).
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masks[i] is a mask for images[i].
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masks[i] is a mask for images[i].
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*/
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*/
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virtual void detect( InputArrayOfArrays images,
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CV_WRAP virtual void detect( InputArrayOfArrays images,
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std::vector<std::vector<KeyPoint> >& keypoints,
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CV_OUT std::vector<std::vector<KeyPoint> >& keypoints,
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InputArrayOfArrays masks=noArray() );
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InputArrayOfArrays masks=noArray() );
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/** @brief Computes the descriptors for a set of keypoints detected in an image (first variant) or image set
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/** @brief Computes the descriptors for a set of keypoints detected in an image (first variant) or image set
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@ -182,8 +182,8 @@ public:
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descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the
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descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the
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descriptor for keypoint j-th keypoint.
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descriptor for keypoint j-th keypoint.
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*/
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*/
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virtual void compute( InputArrayOfArrays images,
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CV_WRAP virtual void compute( InputArrayOfArrays images,
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std::vector<std::vector<KeyPoint> >& keypoints,
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CV_OUT CV_IN_OUT std::vector<std::vector<KeyPoint> >& keypoints,
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OutputArrayOfArrays descriptors );
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OutputArrayOfArrays descriptors );
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/** Detects keypoints and computes the descriptors */
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/** Detects keypoints and computes the descriptors */
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@ -196,6 +196,14 @@ public:
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CV_WRAP virtual int descriptorType() const;
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CV_WRAP virtual int descriptorType() const;
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CV_WRAP virtual int defaultNorm() const;
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CV_WRAP virtual int defaultNorm() const;
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CV_WRAP void write( const String& fileName ) const;
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CV_WRAP void read( const String& fileName );
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virtual void write( FileStorage&) const;
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virtual void read( const FileNode&);
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//! Return true if detector object is empty
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//! Return true if detector object is empty
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CV_WRAP virtual bool empty() const;
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CV_WRAP virtual bool empty() const;
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};
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};
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@ -878,7 +886,7 @@ public:
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returned in the distance increasing order.
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returned in the distance increasing order.
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*/
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*/
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CV_WRAP void radiusMatch( InputArray queryDescriptors, InputArray trainDescriptors,
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CV_WRAP void radiusMatch( InputArray queryDescriptors, InputArray trainDescriptors,
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std::vector<std::vector<DMatch> >& matches, float maxDistance,
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CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
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InputArray mask=noArray(), bool compactResult=false ) const;
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InputArray mask=noArray(), bool compactResult=false ) const;
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/** @overload
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/** @overload
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@ -915,7 +923,7 @@ public:
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false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
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false, the matches vector has the same size as queryDescriptors rows. If compactResult is true,
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the matches vector does not contain matches for fully masked-out query descriptors.
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the matches vector does not contain matches for fully masked-out query descriptors.
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*/
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*/
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void radiusMatch( InputArray queryDescriptors, std::vector<std::vector<DMatch> >& matches, float maxDistance,
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CV_WRAP void radiusMatch( InputArray queryDescriptors, CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
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InputArrayOfArrays masks=noArray(), bool compactResult=false );
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InputArrayOfArrays masks=noArray(), bool compactResult=false );
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@ -154,6 +154,26 @@ void Feature2D::detectAndCompute( InputArray, InputArray,
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CV_Error(Error::StsNotImplemented, "");
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CV_Error(Error::StsNotImplemented, "");
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}
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}
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void Feature2D::write( const String& fileName ) const
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{
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FileStorage fs(fileName, FileStorage::WRITE);
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write(fs);
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}
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void Feature2D::read( const String& fileName )
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{
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FileStorage fs(fileName, FileStorage::READ);
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read(fs.root());
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}
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void Feature2D::write( FileStorage&) const
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{
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}
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void Feature2D::read( const FileNode&)
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{
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}
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int Feature2D::descriptorSize() const
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int Feature2D::descriptorSize() const
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{
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{
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return 0;
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return 0;
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