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initModule_line_descriptor added
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biagio montesano
@@ -56,49 +56,62 @@
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namespace cv
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{
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CV_EXPORTS bool initModule_line_descriptor();
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class CV_EXPORTS_W KeyLine
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{
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public:
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/* orientation of the line */
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CV_PROP_RW float angle;
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CV_PROP_RW
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float angle;
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/* object ID, that can be used to cluster keylines by the line they represent */
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CV_PROP_RW int class_id;
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CV_PROP_RW
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int class_id;
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/* octave (pyramid layer), from which the keyline has been extracted */
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CV_PROP_RW int octave;
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CV_PROP_RW
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int octave;
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/* coordinates of the middlepoint */
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CV_PROP_RW Point pt;
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CV_PROP_RW
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Point pt;
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/* the response, by which the strongest keylines have been selected.
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It's represented by the ratio between line's length and maximum between
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image's width and height */
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CV_PROP_RW float response;
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CV_PROP_RW
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float response;
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/* minimum area containing line */
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CV_PROP_RW float size;
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CV_PROP_RW
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float size;
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/* lines's extremes in original image */
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CV_PROP_RW float startPointX;
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CV_PROP_RW float startPointY;
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CV_PROP_RW float endPointX;
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CV_PROP_RW float endPointY;
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CV_PROP_RW
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float startPointX;CV_PROP_RW
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float startPointY;CV_PROP_RW
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float endPointX;CV_PROP_RW
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float endPointY;
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/* line's extremes in image it was extracted from */
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CV_PROP_RW float sPointInOctaveX;
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CV_PROP_RW float sPointInOctaveY;
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CV_PROP_RW float ePointInOctaveX;
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CV_PROP_RW float ePointInOctaveY;
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CV_PROP_RW
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float sPointInOctaveX;CV_PROP_RW
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float sPointInOctaveY;CV_PROP_RW
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float ePointInOctaveX;CV_PROP_RW
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float ePointInOctaveY;
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/* the length of line */
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CV_PROP_RW float lineLength;
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CV_PROP_RW
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float lineLength;
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/* number of pixels covered by the line */
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CV_PROP_RW int numOfPixels;
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CV_PROP_RW
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int numOfPixels;
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/* constructor */
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CV_WRAP KeyLine()
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CV_WRAP
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KeyLine()
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{
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}
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};
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@@ -128,10 +141,12 @@ class CV_EXPORTS_W BinaryDescriptor : public Algorithm
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int ksize_;
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/* read parameters from a FileNode object and store them (struct function) */
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CV_WRAP void read( const FileNode& fn );
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CV_WRAP
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void read( const FileNode& fn );
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/* store parameters to a FileStorage object (struct function) */
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CV_WRAP void write( FileStorage& fs ) const;
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CV_WRAP
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void write( FileStorage& fs ) const;
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};
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@@ -140,32 +155,37 @@ class CV_EXPORTS_W BinaryDescriptor : public Algorithm
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BinaryDescriptor( const BinaryDescriptor::Params ¶meters = BinaryDescriptor::Params() );
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/* constructors with smart pointers */
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CV_WRAP static Ptr<BinaryDescriptor> createBinaryDescriptor();
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CV_WRAP static Ptr<BinaryDescriptor> createBinaryDescriptor( Params parameters );
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CV_WRAP
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static Ptr<BinaryDescriptor> createBinaryDescriptor();CV_WRAP
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static Ptr<BinaryDescriptor> createBinaryDescriptor( Params parameters );
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/* destructor */
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~BinaryDescriptor();
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/* setters and getters */
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CV_WRAP int getNumOfOctaves();
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CV_WRAP void setNumOfOctaves( int octaves );
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CV_WRAP int getWidthOfBand();
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CV_WRAP void setWidthOfBand( int width );
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CV_WRAP int getReductionRatio();
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CV_WRAP void setReductionRatio( int rRatio );
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CV_WRAP
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int getNumOfOctaves();CV_WRAP
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void setNumOfOctaves( int octaves );CV_WRAP
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int getWidthOfBand();CV_WRAP
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void setWidthOfBand( int width );CV_WRAP
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int getReductionRatio();CV_WRAP
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void setReductionRatio( int rRatio );
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/* reads parameters from a FileNode object and store them (class function ) */
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CV_WRAP virtual void read( const cv::FileNode& fn );
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CV_WRAP
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virtual void read( const cv::FileNode& fn );
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/* stores parameters to a FileStorage object (class function) */
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CV_WRAP virtual void write( cv::FileStorage& fs ) const;
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CV_WRAP
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virtual void write( cv::FileStorage& fs ) const;
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/* requires line detection (only one image) */
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CV_WRAP
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void detect( const Mat& image, CV_OUT std::vector<KeyLine>& keypoints, const Mat& mask = Mat() );
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/* requires line detection (more than one image) */
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CV_WRAP void detect( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, const std::vector<Mat>& masks =
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CV_WRAP
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void detect( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, const std::vector<Mat>& masks =
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std::vector<Mat>() ) const;
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/* requires descriptors computation (only one image) */
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@@ -173,17 +193,21 @@ class CV_EXPORTS_W BinaryDescriptor : public Algorithm
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void compute( const Mat& image, CV_OUT CV_IN_OUT std::vector<KeyLine>& keylines, CV_OUT Mat& descriptors, bool returnFloatDescr = false ) const;
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/* requires descriptors computation (more than one image) */
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CV_WRAP void compute( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, std::vector<Mat>& descriptors, bool returnFloatDescr =
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CV_WRAP
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void compute( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, std::vector<Mat>& descriptors, bool returnFloatDescr =
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false ) const;
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/* returns descriptor size */
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CV_WRAP int descriptorSize() const;
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CV_WRAP
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int descriptorSize() const;
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/* returns data type */
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CV_WRAP int descriptorType() const;
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CV_WRAP
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int descriptorType() const;
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/* returns norm mode */
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CV_WRAP int defaultNorm() const;
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CV_WRAP
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int defaultNorm() const;
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/* definition of operator () */
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CV_WRAP_AS(detectAndCompute)
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@@ -236,20 +260,23 @@ class CV_EXPORTS_W LSDDetector : public Algorithm
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public:
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/* constructor */
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CV_WRAP LSDDetector()
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CV_WRAP
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LSDDetector()
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{
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}
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;
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/* constructor with smart pointer */
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CV_WRAP static Ptr<LSDDetector> createLSDDetector();
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CV_WRAP
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static Ptr<LSDDetector> createLSDDetector();
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/* requires line detection (only one image) */
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CV_WRAP
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void detect( const Mat& image, CV_OUT std::vector<KeyLine>& keypoints, int scale, int numOctaves, const Mat& mask = Mat() );
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/* requires line detection (more than one image) */
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CV_WRAP void detect( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, int scale, int numOctaves,
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CV_WRAP
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void detect( const std::vector<Mat>& images, std::vector<std::vector<KeyLine> >& keylines, int scale, int numOctaves,
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const std::vector<Mat>& masks = std::vector<Mat>() ) const;
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private:
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@@ -273,47 +300,58 @@ class CV_EXPORTS_W BinaryDescriptorMatcher : public Algorithm
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public:
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/* for every input descriptor,
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find the best matching one (for a pair of images) */
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CV_WRAP void match( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<DMatch>& matches, const Mat& mask = Mat() ) const;
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CV_WRAP
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void match( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<DMatch>& matches, const Mat& mask = Mat() ) const;
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/* for every input descriptor,
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find the best matching one (from one image to a set) */
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CV_WRAP void match( const Mat& queryDescriptors, std::vector<DMatch>& matches, const std::vector<Mat>& masks = std::vector<Mat>() );
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CV_WRAP
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void match( const Mat& queryDescriptors, std::vector<DMatch>& matches, const std::vector<Mat>& masks = std::vector<Mat>() );
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/* for every input descriptor,
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find the best k matching descriptors (for a pair of images) */
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CV_WRAP void knnMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<std::vector<DMatch> >& matches, int k, const Mat& mask = Mat(),
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CV_WRAP
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void knnMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<std::vector<DMatch> >& matches, int k, const Mat& mask = Mat(),
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bool compactResult = false ) const;
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/* for every input descriptor,
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find the best k matching descriptors (from one image to a set) */
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CV_WRAP void knnMatch( const Mat& queryDescriptors, std::vector<std::vector<DMatch> >& matches, int k, const std::vector<Mat>& masks = std::vector<Mat>(),
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CV_WRAP
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void knnMatch( const Mat& queryDescriptors, std::vector<std::vector<DMatch> >& matches, int k, const std::vector<Mat>& masks = std::vector<Mat>(),
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bool compactResult = false );
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/* for every input descriptor, find all the ones falling in a
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certain matching radius (for a pair of images) */
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CV_WRAP void radiusMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<std::vector<DMatch> >& matches, float maxDistance,
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CV_WRAP
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void radiusMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, std::vector<std::vector<DMatch> >& matches, float maxDistance,
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const Mat& mask = Mat(), bool compactResult = false ) const;
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/* for every input descriptor, find all the ones falling in a
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certain matching radius (from one image to a set) */
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CV_WRAP void radiusMatch( const Mat& queryDescriptors, std::vector<std::vector<DMatch> >& matches, float maxDistance, const std::vector<Mat>& masks =
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CV_WRAP
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void radiusMatch( const Mat& queryDescriptors, std::vector<std::vector<DMatch> >& matches, float maxDistance, const std::vector<Mat>& masks =
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std::vector<Mat>(),
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bool compactResult = false );
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/* store new descriptors to be inserted in dataset */
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CV_WRAP void add( const std::vector<Mat>& descriptors );
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CV_WRAP
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void add( const std::vector<Mat>& descriptors );
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/* store new descriptors into dataset */
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CV_WRAP void train();
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CV_WRAP
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void train();
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/* constructor with smart pointer */
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CV_WRAP static Ptr<BinaryDescriptorMatcher> createBinaryDescriptorMatcher();
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CV_WRAP
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static Ptr<BinaryDescriptorMatcher> createBinaryDescriptorMatcher();
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/* clear dataset and internal data */
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CV_WRAP void clear();
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CV_WRAP
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void clear();
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/* constructor */
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CV_WRAP BinaryDescriptorMatcher();
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CV_WRAP
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BinaryDescriptorMatcher();
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/* destructor */
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~BinaryDescriptorMatcher()
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