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#include "precomp.hpp"
#include "fast_score.hpp"

using namespace cv;

Ptr<Feature2D> Feature2D::create( const string& feature2DType )
{
    return Algorithm::create<Feature2D>("Feature2D." + feature2DType);
}

/////////////////////// AlgorithmInfo for various detector & descriptors ////////////////////////////

/* NOTE!!!
   All the AlgorithmInfo-related stuff should be in the same file as initModule_features2d().
   Otherwise, linker may throw away some seemingly unused stuff.
*/

CV_INIT_ALGORITHM(BRISK, "Feature2D.BRISK",
                   obj.info()->addParam(obj, "thres", obj.threshold);
                   obj.info()->addParam(obj, "octaves", obj.octaves))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(BriefDescriptorExtractor, "Feature2D.BRIEF",
                  obj.info()->addParam(obj, "bytes", obj.bytes_))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(FastFeatureDetector, "Feature2D.FAST",
                  obj.info()->addParam(obj, "threshold", obj.threshold);
                  obj.info()->addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression))

CV_INIT_ALGORITHM(FastFeatureDetector2, "Feature2D.FASTX",
                  obj.info()->addParam(obj, "threshold", obj.threshold);
                  obj.info()->addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression);
                  obj.info()->addParam(obj, "type", obj.type))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(StarDetector, "Feature2D.STAR",
                  obj.info()->addParam(obj, "maxSize", obj.maxSize);
                  obj.info()->addParam(obj, "responseThreshold", obj.responseThreshold);
                  obj.info()->addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected);
                  obj.info()->addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized);
                  obj.info()->addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(MSER, "Feature2D.MSER",
                  obj.info()->addParam(obj, "delta", obj.delta);
                  obj.info()->addParam(obj, "minArea", obj.minArea);
                  obj.info()->addParam(obj, "maxArea", obj.maxArea);
                  obj.info()->addParam(obj, "maxVariation", obj.maxVariation);
                  obj.info()->addParam(obj, "minDiversity", obj.minDiversity);
                  obj.info()->addParam(obj, "maxEvolution", obj.maxEvolution);
                  obj.info()->addParam(obj, "areaThreshold", obj.areaThreshold);
                  obj.info()->addParam(obj, "minMargin", obj.minMargin);
                  obj.info()->addParam(obj, "edgeBlurSize", obj.edgeBlurSize))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(ORB, "Feature2D.ORB",
                  obj.info()->addParam(obj, "nFeatures", obj.nfeatures);
                  obj.info()->addParam(obj, "scaleFactor", obj.scaleFactor);
                  obj.info()->addParam(obj, "nLevels", obj.nlevels);
                  obj.info()->addParam(obj, "firstLevel", obj.firstLevel);
                  obj.info()->addParam(obj, "edgeThreshold", obj.edgeThreshold);
                  obj.info()->addParam(obj, "patchSize", obj.patchSize);
                  obj.info()->addParam(obj, "WTA_K", obj.WTA_K);
                  obj.info()->addParam(obj, "scoreType", obj.scoreType))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(FREAK, "Feature2D.FREAK",
                  obj.info()->addParam(obj, "orientationNormalized", obj.orientationNormalized);
                  obj.info()->addParam(obj, "scaleNormalized", obj.scaleNormalized);
                  obj.info()->addParam(obj, "patternScale", obj.patternScale);
                  obj.info()->addParam(obj, "nbOctave", obj.nOctaves))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(GFTTDetector, "Feature2D.GFTT",
                  obj.info()->addParam(obj, "nfeatures", obj.nfeatures);
                  obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel);
                  obj.info()->addParam(obj, "minDistance", obj.minDistance);
                  obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
                  obj.info()->addParam(obj, "k", obj.k))

///////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(SimpleBlobDetector, "Feature2D.SimpleBlob",
                  obj.info()->addParam(obj, "thresholdStep",    obj.params.thresholdStep);
                  obj.info()->addParam(obj, "minThreshold",     obj.params.minThreshold);
                  obj.info()->addParam(obj, "maxThreshold",     obj.params.maxThreshold);
                  obj.info()->addParam_(obj, "minRepeatability", (sizeof(size_t) == sizeof(uint64))?Param::UINT64 : Param::UNSIGNED_INT, &obj.params.minRepeatability, false, 0, 0);
                  obj.info()->addParam(obj, "minDistBetweenBlobs", obj.params.minDistBetweenBlobs);
                  obj.info()->addParam(obj, "filterByColor",    obj.params.filterByColor);
                  obj.info()->addParam(obj, "blobColor",        obj.params.blobColor);
                  obj.info()->addParam(obj, "filterByArea",     obj.params.filterByArea);
                  obj.info()->addParam(obj, "maxArea",          obj.params.maxArea);
                  obj.info()->addParam(obj, "filterByCircularity", obj.params.filterByCircularity);
                  obj.info()->addParam(obj, "maxCircularity",   obj.params.maxCircularity);
                  obj.info()->addParam(obj, "filterByInertia",  obj.params.filterByInertia);
                  obj.info()->addParam(obj, "maxInertiaRatio",  obj.params.maxInertiaRatio);
                  obj.info()->addParam(obj, "filterByConvexity", obj.params.filterByConvexity);
                  obj.info()->addParam(obj, "maxConvexity",     obj.params.maxConvexity);
                  )

///////////////////////////////////////////////////////////////////////////////////////////////////////////

class CV_EXPORTS HarrisDetector : public GFTTDetector
{
public:
    HarrisDetector( int maxCorners=1000, double qualityLevel=0.01, double minDistance=1,
                    int blockSize=3, bool useHarrisDetector=true, double k=0.04 );
    AlgorithmInfo* info() const;
};

inline HarrisDetector::HarrisDetector( int _maxCorners, double _qualityLevel, double _minDistance,
                    int _blockSize, bool _useHarrisDetector, double _k )
    : GFTTDetector( _maxCorners, _qualityLevel, _minDistance, _blockSize, _useHarrisDetector, _k ) {}

CV_INIT_ALGORITHM(HarrisDetector, "Feature2D.HARRIS",
                  obj.info()->addParam(obj, "nfeatures", obj.nfeatures);
                  obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel);
                  obj.info()->addParam(obj, "minDistance", obj.minDistance);
                  obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
                  obj.info()->addParam(obj, "k", obj.k))

////////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense",
                  obj.info()->addParam(obj, "initFeatureScale", obj.initFeatureScale);
                  obj.info()->addParam(obj, "featureScaleLevels", obj.featureScaleLevels);
                  obj.info()->addParam(obj, "featureScaleMul", obj.featureScaleMul);
                  obj.info()->addParam(obj, "initXyStep", obj.initXyStep);
                  obj.info()->addParam(obj, "initImgBound", obj.initImgBound);
                  obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
                  obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale))

CV_INIT_ALGORITHM(GridAdaptedFeatureDetector, "Feature2D.Grid",
                  obj.info()->addParam<FeatureDetector>(obj, "detector", obj.detector, false, 0, 0); // Extra params added to avoid VS2013 fatal error in opencv2/core.hpp (decl. of addParam)
                  obj.info()->addParam(obj, "maxTotalKeypoints", obj.maxTotalKeypoints);
                  obj.info()->addParam(obj, "gridRows", obj.gridRows);
                  obj.info()->addParam(obj, "gridCols", obj.gridCols))

////////////////////////////////////////////////////////////////////////////////////////////////////////////

CV_INIT_ALGORITHM(BFMatcher, "DescriptorMatcher.BFMatcher",
                  obj.info()->addParam(obj, "normType", obj.normType);
                  obj.info()->addParam(obj, "crossCheck", obj.crossCheck))

CV_INIT_ALGORITHM(FlannBasedMatcher, "DescriptorMatcher.FlannBasedMatcher",)

///////////////////////////////////////////////////////////////////////////////////////////////////////////

bool cv::initModule_features2d(void)
{
    bool all = true;
    all &= !BriefDescriptorExtractor_info_auto.name().empty();
    all &= !BRISK_info_auto.name().empty();
    all &= !FastFeatureDetector_info_auto.name().empty();
    all &= !FastFeatureDetector2_info_auto.name().empty();
    all &= !StarDetector_info_auto.name().empty();
    all &= !MSER_info_auto.name().empty();
    all &= !FREAK_info_auto.name().empty();
    all &= !ORB_info_auto.name().empty();
    all &= !GFTTDetector_info_auto.name().empty();
    all &= !HarrisDetector_info_auto.name().empty();
    all &= !DenseFeatureDetector_info_auto.name().empty();
    all &= !GridAdaptedFeatureDetector_info_auto.name().empty();
    all &= !BFMatcher_info_auto.name().empty();
    all &= !FlannBasedMatcher_info_auto.name().empty();

    return all;
}
