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work on features2d python interface

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This commit is contained in:
Alexander Mordvintsev 2012-07-11 17:13:43 +00:00
parent ffd283b7d5
commit c5669448a3
2 changed files with 7 additions and 7 deletions
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4
modules/features2d/include/opencv2/features2d/features2d.hpp
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@ -1093,10 +1093,10 @@ protected:
* For efficiency, BruteForceMatcher is templated on the distance metric.
* For float descriptors, a common choice would be cv::L2<float>.
*/
class CV_EXPORTS BFMatcher : public DescriptorMatcher
class CV_EXPORTS_W BFMatcher : public DescriptorMatcher
{
public:
BFMatcher( int normType, bool crossCheck=false );
CV_WRAP BFMatcher( int normType, bool crossCheck=false );
virtual ~BFMatcher() {}
virtual bool isMaskSupported() const { return true; }

10
modules/nonfree/include/opencv2/nonfree/features2d.hpp
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@ -58,15 +58,15 @@ namespace cv
class CV_EXPORTS_W SIFT : public Feature2D
{
public:
explicit SIFT( int nfeatures=0, int nOctaveLayers=3,
CV_WRAP explicit SIFT( int nfeatures=0, int nOctaveLayers=3,
double contrastThreshold=0.04, double edgeThreshold=10,
double sigma=1.6);
//! returns the descriptor size in floats (128)
int descriptorSize() const;
CV_WRAP int descriptorSize() const;
//! returns the descriptor type
int descriptorType() const;
CV_WRAP int descriptorType() const;
//! finds the keypoints using SIFT algorithm
void operator()(InputArray img, InputArray mask,
@ -121,10 +121,10 @@ public:
CV_WRAP int descriptorType() const;
//! finds the keypoints using fast hessian detector used in SURF
CV_WRAP_AS(detect) void operator()(InputArray img, InputArray mask,
void operator()(InputArray img, InputArray mask,
CV_OUT vector<KeyPoint>& keypoints) const;
//! finds the keypoints and computes their descriptors. Optionally it can compute descriptors for the user-provided keypoints
CV_WRAP_AS(detect) void operator()(InputArray img, InputArray mask,
void operator()(InputArray img, InputArray mask,
CV_OUT vector<KeyPoint>& keypoints,
OutputArray descriptors,
bool useProvidedKeypoints=false) const;