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Merge pull request #2278 from KonstantinMatskevich:ocl_toinputarray

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This commit is contained in:
Andrey Pavlenko
2014-02-06 12:55:04 +04:00
committed by OpenCV Buildbot
parent 721d0145e0 bdfa9fa14a
commit b6675ee2a8
23 changed files with 217 additions and 170 deletions
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78
modules/features2d/include/opencv2/features2d.hpp
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@@ -156,7 +156,7 @@ public:
* keypoints The input keypoints. Keypoints for which a descriptor cannot be computed are removed.
* descriptors Copmputed descriptors. Row i is the descriptor for keypoint i.
*/
CV_WRAP void compute( const Mat& image, CV_OUT CV_IN_OUT std::vector<KeyPoint>& keypoints, CV_OUT Mat& descriptors ) const;
CV_WRAP void compute( InputArray image, CV_OUT CV_IN_OUT std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
/*
* Compute the descriptors for a keypoints collection detected in image collection.
@@ -165,7 +165,7 @@ public:
* Keypoints for which a descriptor cannot be computed are removed.
* descriptors Descriptor collection. descriptors[i] are descriptors computed for set keypoints[i].
*/
void compute( const std::vector<Mat>& images, std::vector<std::vector<KeyPoint> >& keypoints, std::vector<Mat>& descriptors ) const;
void compute( InputArrayOfArrays images, std::vector<std::vector<KeyPoint> >& keypoints, OutputArrayOfArrays descriptors ) const;
CV_WRAP virtual int descriptorSize() const = 0;
CV_WRAP virtual int descriptorType() const = 0;
@@ -176,7 +176,7 @@ public:
CV_WRAP static Ptr<DescriptorExtractor> create( const String& descriptorExtractorType );
protected:
virtual void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const = 0;
virtual void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const = 0;
/*
* Remove keypoints within borderPixels of an image edge.
@@ -207,7 +207,7 @@ public:
OutputArray descriptors,
bool useProvidedKeypoints=false ) const = 0;
CV_WRAP void compute( const Mat& image, CV_OUT CV_IN_OUT std::vector<KeyPoint>& keypoints, CV_OUT Mat& descriptors ) const;
CV_WRAP void compute( InputArray image, CV_OUT CV_IN_OUT std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
// Create feature detector and descriptor extractor by name.
CV_WRAP static Ptr<Feature2D> create( const String& name );
@@ -252,7 +252,7 @@ public:
protected:
void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
void computeKeypointsNoOrientation(InputArray image, InputArray mask, std::vector<KeyPoint>& keypoints) const;
@@ -337,7 +337,7 @@ public:
protected:
void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
CV_PROP_RW int nfeatures;
@@ -403,9 +403,9 @@ public:
};
protected:
virtual void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
virtual void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
void buildPattern();
uchar meanIntensity( const Mat& image, const Mat& integral, const float kp_x, const float kp_y,
uchar meanIntensity( InputArray image, InputArray integral, const float kp_x, const float kp_y,
const unsigned int scale, const unsigned int rot, const unsigned int point ) const;
bool orientationNormalized; //true if the orientation is normalized, false otherwise
@@ -609,7 +609,7 @@ protected:
};
virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
virtual void findBlobs(const Mat &image, const Mat &binaryImage, std::vector<Center> &centers) const;
virtual void findBlobs(InputArray image, InputArray binaryImage, std::vector<Center> &centers) const;
Params params;
AlgorithmInfo* info() const;
@@ -850,7 +850,7 @@ public:
virtual bool empty() const;
protected:
virtual void computeImpl( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
virtual void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
Ptr<DescriptorExtractor> descriptorExtractor;
};
@@ -879,9 +879,9 @@ public:
AlgorithmInfo* info() const;
protected:
virtual void computeImpl(const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors) const;
virtual void computeImpl(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const;
typedef void(*PixelTestFn)(const Mat&, const std::vector<KeyPoint>&, Mat&);
typedef void(*PixelTestFn)(InputArray, const std::vector<KeyPoint>&, OutputArray);
int bytes_;
PixelTestFn test_fn_;
@@ -1214,7 +1214,7 @@ public:
* If inheritor class need perform such prefiltering the method add() must be overloaded.
* In the other class methods programmer has access to the train keypoints by a constant link.
*/
virtual void add( const std::vector<Mat>& images,
virtual void add( InputArrayOfArrays images,
std::vector<std::vector<KeyPoint> >& keypoints );
const std::vector<Mat>& getTrainImages() const;
@@ -1243,10 +1243,10 @@ public:
* trainKeypoints Keypoints from the train image
*/
// Classify keypoints from query image under one train image.
void classify( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints ) const;
void classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
InputArray trainImage, std::vector<KeyPoint>& trainKeypoints ) const;
// Classify keypoints from query image under train image collection.
void classify( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints );
void classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints );
/*
* Group of methods to match keypoints from image pair.
@@ -1254,32 +1254,32 @@ public:
* train() method is called here.
*/
// Find one best match for each query descriptor (if mask is empty).
void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
void match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
std::vector<DMatch>& matches, const Mat& mask=Mat() ) const;
// Find k best matches for each query keypoint (in increasing order of distances).
// compactResult is used when mask is not empty. If compactResult is false matches
// vector will have the same size as queryDescriptors rows.
// If compactResult is true matches vector will not contain matches for fully masked out query descriptors.
void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
void knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
std::vector<std::vector<DMatch> >& matches, int k,
const Mat& mask=Mat(), bool compactResult=false ) const;
// Find best matches for each query descriptor which have distance less than maxDistance (in increasing order of distances).
void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
void radiusMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
std::vector<std::vector<DMatch> >& matches, float maxDistance,
const Mat& mask=Mat(), bool compactResult=false ) const;
/*
* Group of methods to match keypoints from one image to image set.
* See description of similar methods for matching image pair above.
*/
void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
void match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<DMatch>& matches, const std::vector<Mat>& masks=std::vector<Mat>() );
void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
void knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, int k,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
void radiusMatch(InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, float maxDistance,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
@@ -1303,10 +1303,10 @@ protected:
// In fact the matching is implemented only by the following two methods. These methods suppose
// that the class object has been trained already. Public match methods call these methods
// after calling train().
virtual void knnMatchImpl( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, int k,
const std::vector<Mat>& masks, bool compactResult ) = 0;
virtual void radiusMatchImpl( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, float maxDistance,
const std::vector<Mat>& masks, bool compactResult ) = 0;
/*
@@ -1365,7 +1365,7 @@ public:
VectorDescriptorMatcher( const Ptr<DescriptorExtractor>& extractor, const Ptr<DescriptorMatcher>& matcher );
virtual ~VectorDescriptorMatcher();
virtual void add( const std::vector<Mat>& imgCollection,
virtual void add( InputArrayOfArrays imgCollection,
std::vector<std::vector<KeyPoint> >& pointCollection );
virtual void clear();
@@ -1381,10 +1381,10 @@ public:
virtual Ptr<GenericDescriptorMatcher> clone( bool emptyTrainData=false ) const;
protected:
virtual void knnMatchImpl( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, int k,
const std::vector<Mat>& masks, bool compactResult );
virtual void radiusMatchImpl( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
std::vector<std::vector<DMatch> >& matches, float maxDistance,
const std::vector<Mat>& masks, bool compactResult );
@@ -1411,19 +1411,19 @@ struct CV_EXPORTS DrawMatchesFlags
};
// Draw keypoints.
CV_EXPORTS_W void drawKeypoints( const Mat& image, const std::vector<KeyPoint>& keypoints, CV_OUT Mat& outImage,
CV_EXPORTS_W void drawKeypoints( InputArray image, const std::vector<KeyPoint>& keypoints, InputOutputArray outImage,
const Scalar& color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT );
// Draws matches of keypints from two images on output image.
CV_EXPORTS_W void drawMatches( const Mat& img1, const std::vector<KeyPoint>& keypoints1,
const Mat& img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<DMatch>& matches1to2, CV_OUT Mat& outImg,
CV_EXPORTS_W void drawMatches( InputArray img1, const std::vector<KeyPoint>& keypoints1,
InputArray img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<DMatch>& matches1to2, InputOutputArray outImg,
const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1),
const std::vector<char>& matchesMask=std::vector<char>(), int flags=DrawMatchesFlags::DEFAULT );
CV_EXPORTS_AS(drawMatchesKnn) void drawMatches( const Mat& img1, const std::vector<KeyPoint>& keypoints1,
const Mat& img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<std::vector<DMatch> >& matches1to2, CV_OUT Mat& outImg,
CV_EXPORTS_AS(drawMatchesKnn) void drawMatches( InputArray img1, const std::vector<KeyPoint>& keypoints1,
InputArray img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<std::vector<DMatch> >& matches1to2, InputOutputArray outImg,
const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1),
const std::vector<std::vector<char> >& matchesMask=std::vector<std::vector<char> >(), int flags=DrawMatchesFlags::DEFAULT );
@@ -1518,9 +1518,9 @@ public:
void setVocabulary( const Mat& vocabulary );
const Mat& getVocabulary() const;
void compute( const Mat& image, std::vector<KeyPoint>& keypoints, Mat& imgDescriptor,
void compute( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray imgDescriptor,
std::vector<std::vector<int> >* pointIdxsOfClusters=0, Mat* descriptors=0 );
void compute( const Mat& keypointDescriptors, Mat& imgDescriptor,
void compute( InputArray keypointDescriptors, OutputArray imgDescriptor,
std::vector<std::vector<int> >* pointIdxsOfClusters=0 );
// compute() is not constant because DescriptorMatcher::match is not constant