mirror of
https://github.com/opencv/opencv.git
synced 2026-07-31 00:03:03 +04:00
added improved ORB implementation, convex-convex polygon intersection, eigen2x2 low-level function ...
This commit is contained in:
Vadim Pisarevsky
@@ -422,16 +422,15 @@ public:
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struct CV_EXPORTS CommonParams
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{
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enum { DEFAULT_N_LEVELS = 3, DEFAULT_FIRST_LEVEL = 0};
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enum { DEFAULT_N_LEVELS = 3, DEFAULT_FIRST_LEVEL = 0, HARRIS_SCORE=0, FAST_SCORE=1 };
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/** default constructor */
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CommonParams(float scale_factor = 1.2f, unsigned n_levels = DEFAULT_N_LEVELS, int edge_threshold = 31,
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unsigned first_level = DEFAULT_FIRST_LEVEL) :
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unsigned first_level = DEFAULT_FIRST_LEVEL, int WTA_K=2, int score_type=HARRIS_SCORE) :
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scale_factor_(scale_factor), n_levels_(n_levels), first_level_(first_level >= n_levels ? 0 : first_level),
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edge_threshold_(edge_threshold)
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edge_threshold_(edge_threshold), WTA_K_(WTA_K), score_type_(score_type)
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{
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// No other patch size is supported right now
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patch_size_ = 31;
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patch_size_ = 31;
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}
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void read(const FileNode& fn);
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void write(FileStorage& fs) const;
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@@ -444,12 +443,16 @@ public:
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* if 1, that means we will also look at the image scale_factor_ times bigger
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*/
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unsigned first_level_;
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/** How far from the boundary the points should be */
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/** How far from the boundary the points should be. */
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int edge_threshold_;
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/** How many random points are used to produce each cell of the descriptor (2, 3, 4 ...) */
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int WTA_K_;
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/** Type of the score to use (FAST, HARRIS, ...) */
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int score_type_;
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friend class ORB;
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protected:
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/** The size of the patch that will be used for orientation and comparisons */
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/** The size of the patch that will be used for orientation and comparisons (only 31 is supported)*/
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int patch_size_;
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};
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@@ -483,8 +486,12 @@ public:
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void
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operator()(const cv::Mat &image, const cv::Mat &mask, std::vector<cv::KeyPoint> & keypoints, cv::Mat & descriptors,
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bool useProvidedKeypoints = false);
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void read(const FileNode& fn);
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void write(FileStorage& fs) const;
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private:
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/** The size of the patch used when comparing regions in the patterns */
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static const int kKernelWidth = 5;
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@@ -539,28 +546,20 @@ private:
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/** Parameters tuning ORB */
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CommonParams params_;
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/** size of the half patch used for orientation computation, see Rosin - 1999 - Measuring Corner Properties */
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int half_patch_size_;
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/** pre-computed offsets used for the Harris verification, one vector per scale */
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std::vector<std::vector<int> > orientation_horizontal_offsets_;
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std::vector<std::vector<int> > orientation_vertical_offsets_;
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/** The steps of the integral images for each scale */
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std::vector<size_t> integral_image_steps_;
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vector<size_t> integral_image_steps_;
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/** The number of desired features per scale */
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std::vector<size_t> n_features_per_level_;
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vector<size_t> n_features_per_level_;
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/** The overall number of desired features */
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size_t n_features_;
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/** the end of a row in a circular patch */
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std::vector<int> u_max_;
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/** The patterns for each level (the patterns are the same, but not their offset */
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class OrbPatterns;
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std::vector<OrbPatterns*> patterns_;
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/** The circular region to compute a feature orientation */
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vector<int> u_max_;
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/** Points to compute BRIEF descriptors from */
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vector<Point> pattern;
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};
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/*!
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@@ -1551,10 +1550,6 @@ protected:
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private:
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/** the ORB object we use for the computations */
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mutable ORB orb_;
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/** The parameters used */
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ORB::CommonParams params_;
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/** the number of features that need to be retrieved */
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unsigned n_features_;
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};
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class CV_EXPORTS SimpleBlobDetector : public cv::FeatureDetector
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@@ -1953,8 +1948,6 @@ protected:
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private:
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/** the ORB object we use for the computations */
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mutable ORB orb_;
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/** The parameters used */
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ORB::CommonParams params_;
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};
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/*
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@@ -2157,6 +2150,17 @@ struct CV_EXPORTS Hamming
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typedef Hamming HammingLUT;
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template<int cellsize> struct CV_EXPORTS HammingMultilevel
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{
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typedef unsigned char ValueType;
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typedef int ResultType;
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ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
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{
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return normHamming(a, b, size, cellsize);
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}
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};
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/****************************************************************************************\
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* DMatch *
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\****************************************************************************************/
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@@ -63,7 +63,6 @@ void DescriptorExtractor::compute( const Mat& image, vector<KeyPoint>& keypoints
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return;
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}
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KeyPointsFilter::runByImageBorder( keypoints, image.size(), 0 );
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KeyPointsFilter::runByKeypointSize( keypoints, std::numeric_limits<float>::epsilon() );
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@@ -247,8 +246,7 @@ int SurfDescriptorExtractor::descriptorType() const
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/** Default constructor */
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OrbDescriptorExtractor::OrbDescriptorExtractor(ORB::CommonParams params) :
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params_(params)
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OrbDescriptorExtractor::OrbDescriptorExtractor(ORB::CommonParams params)
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{
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orb_ = ORB(0, params);
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}
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@@ -260,16 +258,15 @@ void OrbDescriptorExtractor::computeImpl(const cv::Mat& image, std::vector<cv::K
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}
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void OrbDescriptorExtractor::read(const cv::FileNode& fn)
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{
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params_.read(fn);
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orb_ = ORB(0, params_);
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orb_.read(fn);
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}
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void OrbDescriptorExtractor::write(cv::FileStorage& fs) const
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{
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params_.write(fs);
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orb_.write(fs);
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}
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int OrbDescriptorExtractor::descriptorSize() const
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{
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return ORB::kBytes;
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return orb_.descriptorSize();
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}
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int OrbDescriptorExtractor::descriptorType() const
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{
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@@ -449,43 +449,22 @@ void SurfFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>& keypoi
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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void ORB::CommonParams::read(const FileNode& fn)
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{
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scale_factor_ = fn["scaleFactor"];
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n_levels_ = int(fn["nLevels"]);
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first_level_ = int(fn["firstLevel"]);
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edge_threshold_ = fn["edgeThreshold"];
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patch_size_ = fn["patchSize"];
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}
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void ORB::CommonParams::write(FileStorage& fs) const
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{
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fs << "scaleFactor" << scale_factor_;
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fs << "nLevels" << int(n_levels_);
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fs << "firstLevel" << int(first_level_);
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fs << "edgeThreshold" << int(edge_threshold_);
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fs << "patchSize" << int(patch_size_);
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}
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/** Default constructor
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* @param n_features the number of desired features
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*/
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OrbFeatureDetector::OrbFeatureDetector(size_t n_features, ORB::CommonParams params) :
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params_(params)
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OrbFeatureDetector::OrbFeatureDetector(size_t n_features, ORB::CommonParams params)
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{
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orb_ = ORB(n_features, params);
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}
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void OrbFeatureDetector::read(const FileNode& fn)
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{
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params_.read(fn);
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n_features_ = int(fn["nFeatures"]);
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orb_.read(fn);
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}
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void OrbFeatureDetector::write(FileStorage& fs) const
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{
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params_.write(fs);
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fs << "nFeatures" << int(n_features_);
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orb_.write(fs);
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}
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void OrbFeatureDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoint>& keypoints, const cv::Mat& mask) const
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@@ -138,6 +138,7 @@ static void _prepareImgAndDrawKeypoints( const Mat& img1, const vector<KeyPoint>
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else
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{
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outImg.create( size, CV_MAKETYPE(img1.depth(), 3) );
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outImg = Scalar::all(0);
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outImg1 = outImg( Rect(0, 0, img1.cols, img1.rows) );
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outImg2 = outImg( Rect(img1.cols, 0, img2.cols, img2.rows) );
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@@ -46,6 +46,39 @@
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using namespace cv;
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using namespace std;
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template<typename _Tp> static int solveQuadratic(_Tp a, _Tp b, _Tp c, _Tp& x1, _Tp& x2)
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{
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if( a == 0 )
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{
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if( b == 0 )
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{
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x1 = x2 = 0;
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return c == 0;
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}
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x1 = x2 = -c/b;
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return 1;
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}
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_Tp d = b*b - 4*a*c;
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if( d < 0 )
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{
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x1 = x2 = 0;
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return 0;
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}
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if( d > 0 )
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{
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d = std::sqrt(d);
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double s = 1/(2*a);
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x1 = (-b - d)*s;
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x2 = (-b + d)*s;
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if( x1 > x2 )
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std::swap(x1, x2);
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return 2;
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}
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x1 = x2 = -b/(2*a);
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return 1;
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}
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//for android ndk
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#undef _S
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static inline Point2f applyHomography( const Mat_<double>& H, const Point2f& pt )
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@@ -109,13 +142,13 @@ EllipticKeyPoint::EllipticKeyPoint( const Point2f& _center, const Scalar& _ellip
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center = _center;
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ellipse = _ellipse;
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Mat_<double> M = getSecondMomentsMatrix(_ellipse), eval;
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eigen( M, eval );
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assert( eval.rows == 2 && eval.cols == 1 );
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axes.width = 1.f / (float)sqrt(eval(0,0));
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axes.height = 1.f / (float)sqrt(eval(1,0));
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double ac_b2 = ellipse[0]*ellipse[2] - ellipse[1]*ellipse[1];
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double a = ellipse[0], b = ellipse[1], c = ellipse[2];
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double ac_b2 = a*c - b*b;
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double x1, x2;
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solveQuadratic(1., -(a+c), ac_b2, x1, x2);
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axes.width = (float)(1/sqrt(x1));
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axes.height = (float)(1/sqrt(x2));
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boundingBox.width = (float)sqrt(ellipse[2]/ac_b2);
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boundingBox.height = (float)sqrt(ellipse[0]/ac_b2);
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}
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@@ -370,7 +370,7 @@ void cv::FAST(const Mat& img, std::vector<KeyPoint>& keypoints, int threshold, b
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score > pprev[j-1] && score > pprev[j] && score > pprev[j+1] &&
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score > curr[j-1] && score > curr[j] && score > curr[j+1]) )
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{
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keypoints.push_back(KeyPoint((float)j, (float)(i-1), 6.f, -1, (float)score));
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keypoints.push_back(KeyPoint((float)j, (float)(i-1), 7.f, -1, (float)score));
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}
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}
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}
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@@ -340,10 +340,20 @@ Ptr<DescriptorMatcher> DescriptorMatcher::create( const string& descriptorMatche
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{
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dm = new BruteForceMatcher<Hamming>();
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}
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else if( !descriptorMatcherType.compare( "BruteForce-HammingLUT") )
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else if( !descriptorMatcherType.compare("BruteForce-HammingLUT") )
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{
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dm = new BruteForceMatcher<Hamming>();
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}
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else if( !descriptorMatcherType.compare("BruteForce-Hamming(2)") )
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{
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dm = new BruteForceMatcher<HammingMultilevel<2> >();
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}
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else if( !descriptorMatcherType.compare("BruteForce-Hamming(4)") )
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{
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dm = new BruteForceMatcher<HammingMultilevel<4> >();
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}
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else
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CV_Error( CV_StsBadArg, "Unknown matcher name" );
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return dm;
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}
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+863
-755
File diff suppressed because it is too large
Load Diff
@@ -1,259 +0,0 @@
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//x1,y1,x2,y2
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int ORB::OrbPatterns::bit_pattern_31_[256*4] ={
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8,-3, 9,5/*mean (0), correlation (0)*/,
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4,2, 7,-12/*mean (1.12461e-05), correlation (0.0437584)*/,
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-11,9, -8,2/*mean (3.37382e-05), correlation (0.0617409)*/,
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7,-12, 12,-13/*mean (5.62303e-05), correlation (0.0636977)*/,
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2,-13, 2,12/*mean (0.000134953), correlation (0.085099)*/,
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1,-7, 1,6/*mean (0.000528565), correlation (0.0857175)*/,
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-2,-10, -2,-4/*mean (0.0188821), correlation (0.0985774)*/,
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-13,-13, -11,-8/*mean (0.0363135), correlation (0.0899616)*/,
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-13,-3, -12,-9/*mean (0.121806), correlation (0.099849)*/,
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10,4, 11,9/*mean (0.122065), correlation (0.093285)*/,
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-13,-8, -8,-9/*mean (0.162787), correlation (0.0942748)*/,
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-11,7, -9,12/*mean (0.21561), correlation (0.0974438)*/,
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7,7, 12,6/*mean (0.160583), correlation (0.130064)*/,
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-4,-5, -3,0/*mean (0.228171), correlation (0.132998)*/,
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-13,2, -12,-3/*mean (0.00997526), correlation (0.145926)*/,
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-9,0, -7,5/*mean (0.198234), correlation (0.143636)*/,
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12,-6, 12,-1/*mean (0.0676226), correlation (0.16689)*/,
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-3,6, -2,12/*mean (0.166847), correlation (0.171682)*/,
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-6,-13, -4,-8/*mean (0.101215), correlation (0.179716)*/,
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11,-13, 12,-8/*mean (0.200641), correlation (0.192279)*/,
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4,7, 5,1/*mean (0.205106), correlation (0.186848)*/,
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5,-3, 10,-3/*mean (0.234908), correlation (0.192319)*/,
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3,-7, 6,12/*mean (0.0709964), correlation (0.210872)*/,
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-8,-7, -6,-2/*mean (0.0939834), correlation (0.212589)*/,
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-2,11, -1,-10/*mean (0.127778), correlation (0.20866)*/,
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-13,12, -8,10/*mean (0.14783), correlation (0.206356)*/,
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-7,3, -5,-3/*mean (0.182141), correlation (0.198942)*/,
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-4,2, -3,7/*mean (0.188237), correlation (0.21384)*/,
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-10,-12, -6,11/*mean (0.14865), correlation (0.23571)*/,
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5,-12, 6,-7/*mean (0.222312), correlation (0.23324)*/,
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5,-6, 7,-1/*mean (0.229082), correlation (0.23389)*/,
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1,0, 4,-5/*mean (0.241577), correlation (0.215286)*/,
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9,11, 11,-13/*mean (0.00338507), correlation (0.251373)*/,
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4,7, 4,12/*mean (0.131005), correlation (0.257622)*/,
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2,-1, 4,4/*mean (0.152755), correlation (0.255205)*/,
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-4,-12, -2,7/*mean (0.182771), correlation (0.244867)*/,
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-8,-5, -7,-10/*mean (0.186898), correlation (0.23901)*/,
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4,11, 9,12/*mean (0.226226), correlation (0.258255)*/,
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0,-8, 1,-13/*mean (0.0897886), correlation (0.274827)*/,
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-13,-2, -8,2/*mean (0.148774), correlation (0.28065)*/,
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-3,-2, -2,3/*mean (0.153048), correlation (0.283063)*/,
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-6,9, -4,-9/*mean (0.169523), correlation (0.278248)*/,
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8,12, 10,7/*mean (0.225337), correlation (0.282851)*/,
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0,9, 1,3/*mean (0.226687), correlation (0.278734)*/,
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7,-5, 11,-10/*mean (0.00693882), correlation (0.305161)*/,
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-13,-6, -11,0/*mean (0.0227283), correlation (0.300181)*/,
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10,7, 12,1/*mean (0.125517), correlation (0.31089)*/,
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-6,-3, -6,12/*mean (0.131748), correlation (0.312779)*/,
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10,-9, 12,-4/*mean (0.144827), correlation (0.292797)*/,
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-13,8, -8,-12/*mean (0.149202), correlation (0.308918)*/,
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-13,0, -8,-4/*mean (0.160909), correlation (0.310013)*/,
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3,3, 7,8/*mean (0.177755), correlation (0.309394)*/,
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5,7, 10,-7/*mean (0.212337), correlation (0.310315)*/,
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-1,7, 1,-12/*mean (0.214429), correlation (0.311933)*/,
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3,-10, 5,6/*mean (0.235807), correlation (0.313104)*/,
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2,-4, 3,-10/*mean (0.00494827), correlation (0.344948)*/,
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-13,0, -13,5/*mean (0.0549145), correlation (0.344675)*/,
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-13,-7, -12,12/*mean (0.103385), correlation (0.342715)*/,
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-13,3, -11,8/*mean (0.134222), correlation (0.322922)*/,
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-7,12, -4,7/*mean (0.153284), correlation (0.337061)*/,
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6,-10, 12,8/*mean (0.154881), correlation (0.329257)*/,
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-9,-1, -7,-6/*mean (0.200967), correlation (0.33312)*/,
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-2,-5, 0,12/*mean (0.201518), correlation (0.340635)*/,
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-12,5, -7,5/*mean (0.207805), correlation (0.335631)*/,
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3,-10, 8,-13/*mean (0.224438), correlation (0.34504)*/,
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-7,-7, -4,5/*mean (0.239361), correlation (0.338053)*/,
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-3,-2, -1,-7/*mean (0.240744), correlation (0.344322)*/,
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2,9, 5,-11/*mean (0.242949), correlation (0.34145)*/,
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-11,-13, -5,-13/*mean (0.244028), correlation (0.336861)*/,
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-1,6, 0,-1/*mean (0.247571), correlation (0.343684)*/,
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5,-3, 5,2/*mean (0.000697256), correlation (0.357265)*/,
|
||||
-4,-13, -4,12/*mean (0.00213675), correlation (0.373827)*/,
|
||||
-9,-6, -9,6/*mean (0.0126856), correlation (0.373938)*/,
|
||||
-12,-10, -8,-4/*mean (0.0152497), correlation (0.364237)*/,
|
||||
10,2, 12,-3/*mean (0.0299933), correlation (0.345292)*/,
|
||||
7,12, 12,12/*mean (0.0307242), correlation (0.366299)*/,
|
||||
-7,-13, -6,5/*mean (0.0534975), correlation (0.368357)*/,
|
||||
-4,9, -3,4/*mean (0.099865), correlation (0.372276)*/,
|
||||
7,-1, 12,2/*mean (0.117083), correlation (0.364529)*/,
|
||||
-7,6, -5,1/*mean (0.126125), correlation (0.369606)*/,
|
||||
-13,11, -12,5/*mean (0.130364), correlation (0.358502)*/,
|
||||
-3,7, -2,-6/*mean (0.131691), correlation (0.375531)*/,
|
||||
7,-8, 12,-7/*mean (0.160166), correlation (0.379508)*/,
|
||||
-13,-7, -11,-12/*mean (0.167848), correlation (0.353343)*/,
|
||||
1,-3, 12,12/*mean (0.183378), correlation (0.371916)*/,
|
||||
2,-6, 3,0/*mean (0.228711), correlation (0.371761)*/,
|
||||
-4,3, -2,-13/*mean (0.247211), correlation (0.364063)*/,
|
||||
-1,-13, 1,9/*mean (0.249325), correlation (0.378139)*/,
|
||||
7,1, 8,-6/*mean (0.000652272), correlation (0.411682)*/,
|
||||
1,-1, 3,12/*mean (0.00248538), correlation (0.392988)*/,
|
||||
9,1, 12,6/*mean (0.0206815), correlation (0.386106)*/,
|
||||
-1,-9, -1,3/*mean (0.0364485), correlation (0.410752)*/,
|
||||
-13,-13, -10,5/*mean (0.0376068), correlation (0.398374)*/,
|
||||
7,7, 10,12/*mean (0.0424202), correlation (0.405663)*/,
|
||||
12,-5, 12,9/*mean (0.0942645), correlation (0.410422)*/,
|
||||
6,3, 7,11/*mean (0.1074), correlation (0.413224)*/,
|
||||
5,-13, 6,10/*mean (0.109256), correlation (0.408646)*/,
|
||||
2,-12, 2,3/*mean (0.131691), correlation (0.416076)*/,
|
||||
3,8, 4,-6/*mean (0.165081), correlation (0.417569)*/,
|
||||
2,6, 12,-13/*mean (0.171874), correlation (0.408471)*/,
|
||||
9,-12, 10,3/*mean (0.175146), correlation (0.41296)*/,
|
||||
-8,4, -7,9/*mean (0.183682), correlation (0.402956)*/,
|
||||
-11,12, -4,-6/*mean (0.184672), correlation (0.416125)*/,
|
||||
1,12, 2,-8/*mean (0.191487), correlation (0.386696)*/,
|
||||
6,-9, 7,-4/*mean (0.192668), correlation (0.394771)*/,
|
||||
2,3, 3,-2/*mean (0.200157), correlation (0.408303)*/,
|
||||
6,3, 11,0/*mean (0.204588), correlation (0.411762)*/,
|
||||
3,-3, 8,-8/*mean (0.205904), correlation (0.416294)*/,
|
||||
7,8, 9,3/*mean (0.213237), correlation (0.409306)*/,
|
||||
-11,-5, -6,-4/*mean (0.243444), correlation (0.395069)*/,
|
||||
-10,11, -5,10/*mean (0.247672), correlation (0.413392)*/,
|
||||
-5,-8, -3,12/*mean (0.24774), correlation (0.411416)*/,
|
||||
-10,5, -9,0/*mean (0.00213675), correlation (0.454003)*/,
|
||||
8,-1, 12,-6/*mean (0.0293635), correlation (0.455368)*/,
|
||||
4,-6, 6,-11/*mean (0.0404971), correlation (0.457393)*/,
|
||||
-10,12, -8,7/*mean (0.0481107), correlation (0.448364)*/,
|
||||
4,-2, 6,7/*mean (0.050641), correlation (0.455019)*/,
|
||||
-2,0, -2,12/*mean (0.0525978), correlation (0.44338)*/,
|
||||
-5,-8, -5,2/*mean (0.0629667), correlation (0.457096)*/,
|
||||
7,-6, 10,12/*mean (0.0653846), correlation (0.445623)*/,
|
||||
-9,-13, -8,-8/*mean (0.0858749), correlation (0.449789)*/,
|
||||
-5,-13, -5,-2/*mean (0.122402), correlation (0.450201)*/,
|
||||
8,-8, 9,-13/*mean (0.125416), correlation (0.453224)*/,
|
||||
-9,-11, -9,0/*mean (0.130128), correlation (0.458724)*/,
|
||||
1,-8, 1,-2/*mean (0.132467), correlation (0.440133)*/,
|
||||
7,-4, 9,1/*mean (0.132692), correlation (0.454)*/,
|
||||
-2,1, -1,-4/*mean (0.135695), correlation (0.455739)*/,
|
||||
11,-6, 12,-11/*mean (0.142904), correlation (0.446114)*/,
|
||||
-12,-9, -6,4/*mean (0.146165), correlation (0.451473)*/,
|
||||
3,7, 7,12/*mean (0.147627), correlation (0.456643)*/,
|
||||
5,5, 10,8/*mean (0.152901), correlation (0.455036)*/,
|
||||
0,-4, 2,8/*mean (0.167083), correlation (0.459315)*/,
|
||||
-9,12, -5,-13/*mean (0.173234), correlation (0.454706)*/,
|
||||
0,7, 2,12/*mean (0.18312), correlation (0.433855)*/,
|
||||
-1,2, 1,7/*mean (0.185504), correlation (0.443838)*/,
|
||||
5,11, 7,-9/*mean (0.185706), correlation (0.451123)*/,
|
||||
3,5, 6,-8/*mean (0.188968), correlation (0.455808)*/,
|
||||
-13,-4, -8,9/*mean (0.191667), correlation (0.459128)*/,
|
||||
-5,9, -3,-3/*mean (0.193196), correlation (0.458364)*/,
|
||||
-4,-7, -3,-12/*mean (0.196536), correlation (0.455782)*/,
|
||||
6,5, 8,0/*mean (0.1972), correlation (0.450481)*/,
|
||||
-7,6, -6,12/*mean (0.199438), correlation (0.458156)*/,
|
||||
-13,6, -5,-2/*mean (0.211224), correlation (0.449548)*/,
|
||||
1,-10, 3,10/*mean (0.211718), correlation (0.440606)*/,
|
||||
4,1, 8,-4/*mean (0.213034), correlation (0.443177)*/,
|
||||
-2,-2, 2,-13/*mean (0.234334), correlation (0.455304)*/,
|
||||
2,-12, 12,12/*mean (0.235684), correlation (0.443436)*/,
|
||||
-2,-13, 0,-6/*mean (0.237674), correlation (0.452525)*/,
|
||||
4,1, 9,3/*mean (0.23962), correlation (0.444824)*/,
|
||||
-6,-10, -3,-5/*mean (0.248459), correlation (0.439621)*/,
|
||||
-3,-13, -1,1/*mean (0.249505), correlation (0.456666)*/,
|
||||
7,5, 12,-11/*mean (0.00119208), correlation (0.495466)*/,
|
||||
4,-2, 5,-7/*mean (0.00372245), correlation (0.484214)*/,
|
||||
-13,9, -9,-5/*mean (0.00741116), correlation (0.499854)*/,
|
||||
7,1, 8,6/*mean (0.0208952), correlation (0.499773)*/,
|
||||
7,-8, 7,6/*mean (0.0220085), correlation (0.501609)*/,
|
||||
-7,-4, -7,1/*mean (0.0233806), correlation (0.496568)*/,
|
||||
-8,11, -7,-8/*mean (0.0236505), correlation (0.489719)*/,
|
||||
-13,6, -12,-8/*mean (0.0268781), correlation (0.503487)*/,
|
||||
2,4, 3,9/*mean (0.0323324), correlation (0.501938)*/,
|
||||
10,-5, 12,3/*mean (0.0399235), correlation (0.494029)*/,
|
||||
-6,-5, -6,7/*mean (0.0420153), correlation (0.486579)*/,
|
||||
8,-3, 9,-8/*mean (0.0548021), correlation (0.484237)*/,
|
||||
2,-12, 2,8/*mean (0.0616622), correlation (0.496642)*/,
|
||||
-11,-2, -10,3/*mean (0.0627755), correlation (0.498563)*/,
|
||||
-12,-13, -7,-9/*mean (0.0829622), correlation (0.495491)*/,
|
||||
-11,0, -10,-5/*mean (0.0843342), correlation (0.487146)*/,
|
||||
5,-3, 11,8/*mean (0.0929937), correlation (0.502315)*/,
|
||||
-2,-13, -1,12/*mean (0.113327), correlation (0.48941)*/,
|
||||
-1,-8, 0,9/*mean (0.132119), correlation (0.467268)*/,
|
||||
-13,-11, -12,-5/*mean (0.136269), correlation (0.498771)*/,
|
||||
-10,-2, -10,11/*mean (0.142173), correlation (0.498714)*/,
|
||||
-3,9, -2,-13/*mean (0.144141), correlation (0.491973)*/,
|
||||
2,-3, 3,2/*mean (0.14892), correlation (0.500782)*/,
|
||||
-9,-13, -4,0/*mean (0.150371), correlation (0.498211)*/,
|
||||
-4,6, -3,-10/*mean (0.152159), correlation (0.495547)*/,
|
||||
-4,12, -2,-7/*mean (0.156152), correlation (0.496925)*/,
|
||||
-6,-11, -4,9/*mean (0.15749), correlation (0.499222)*/,
|
||||
6,-3, 6,11/*mean (0.159211), correlation (0.503821)*/,
|
||||
-13,11, -5,5/*mean (0.162427), correlation (0.501907)*/,
|
||||
11,11, 12,6/*mean (0.16652), correlation (0.497632)*/,
|
||||
7,-5, 12,-2/*mean (0.169141), correlation (0.484474)*/,
|
||||
-1,12, 0,7/*mean (0.169456), correlation (0.495339)*/,
|
||||
-4,-8, -3,-2/*mean (0.171457), correlation (0.487251)*/,
|
||||
-7,1, -6,7/*mean (0.175), correlation (0.500024)*/,
|
||||
-13,-12, -8,-13/*mean (0.175866), correlation (0.497523)*/,
|
||||
-7,-2, -6,-8/*mean (0.178273), correlation (0.501854)*/,
|
||||
-8,5, -6,-9/*mean (0.181107), correlation (0.494888)*/,
|
||||
-5,-1, -4,5/*mean (0.190227), correlation (0.482557)*/,
|
||||
-13,7, -8,10/*mean (0.196739), correlation (0.496503)*/,
|
||||
1,5, 5,-13/*mean (0.19973), correlation (0.499759)*/,
|
||||
1,0, 10,-13/*mean (0.204465), correlation (0.49873)*/,
|
||||
9,12, 10,-1/*mean (0.209334), correlation (0.49063)*/,
|
||||
5,-8, 10,-9/*mean (0.211134), correlation (0.503011)*/,
|
||||
-1,11, 1,-13/*mean (0.212), correlation (0.499414)*/,
|
||||
-9,-3, -6,2/*mean (0.212168), correlation (0.480739)*/,
|
||||
-1,-10, 1,12/*mean (0.212731), correlation (0.502523)*/,
|
||||
-13,1, -8,-10/*mean (0.21327), correlation (0.489786)*/,
|
||||
8,-11, 10,-6/*mean (0.214159), correlation (0.488246)*/,
|
||||
2,-13, 3,-6/*mean (0.216993), correlation (0.50287)*/,
|
||||
7,-13, 12,-9/*mean (0.223639), correlation (0.470502)*/,
|
||||
-10,-10, -5,-7/*mean (0.224089), correlation (0.500852)*/,
|
||||
-10,-8, -8,-13/*mean (0.228666), correlation (0.502629)*/,
|
||||
4,-6, 8,5/*mean (0.22906), correlation (0.498305)*/,
|
||||
3,12, 8,-13/*mean (0.233378), correlation (0.503825)*/,
|
||||
-4,2, -3,-3/*mean (0.234323), correlation (0.476692)*/,
|
||||
5,-13, 10,-12/*mean (0.236392), correlation (0.475462)*/,
|
||||
4,-13, 5,-1/*mean (0.236842), correlation (0.504132)*/,
|
||||
-9,9, -4,3/*mean (0.236977), correlation (0.497739)*/,
|
||||
0,3, 3,-9/*mean (0.24314), correlation (0.499398)*/,
|
||||
-12,1, -6,1/*mean (0.243297), correlation (0.489447)*/,
|
||||
3,2, 4,-8/*mean (0.00155196), correlation (0.553496)*/,
|
||||
-10,-10, -10,9/*mean (0.00239541), correlation (0.54297)*/,
|
||||
8,-13, 12,12/*mean (0.0034413), correlation (0.544361)*/,
|
||||
-8,-12, -6,-5/*mean (0.003565), correlation (0.551225)*/,
|
||||
2,2, 3,7/*mean (0.00835583), correlation (0.55285)*/,
|
||||
10,6, 11,-8/*mean (0.00885065), correlation (0.540913)*/,
|
||||
6,8, 8,-12/*mean (0.0101552), correlation (0.551085)*/,
|
||||
-7,10, -6,5/*mean (0.0102227), correlation (0.533635)*/,
|
||||
-3,-9, -3,9/*mean (0.0110211), correlation (0.543121)*/,
|
||||
-1,-13, -1,5/*mean (0.0113473), correlation (0.550173)*/,
|
||||
-3,-7, -3,4/*mean (0.0140913), correlation (0.554774)*/,
|
||||
-8,-2, -8,3/*mean (0.017049), correlation (0.55461)*/,
|
||||
4,2, 12,12/*mean (0.01778), correlation (0.546921)*/,
|
||||
2,-5, 3,11/*mean (0.0224022), correlation (0.549667)*/,
|
||||
6,-9, 11,-13/*mean (0.029161), correlation (0.546295)*/,
|
||||
3,-1, 7,12/*mean (0.0303081), correlation (0.548599)*/,
|
||||
11,-1, 12,4/*mean (0.0355151), correlation (0.523943)*/,
|
||||
-3,0, -3,6/*mean (0.0417904), correlation (0.543395)*/,
|
||||
4,-11, 4,12/*mean (0.0487292), correlation (0.542818)*/,
|
||||
2,-4, 2,1/*mean (0.0575124), correlation (0.554888)*/,
|
||||
-10,-6, -8,1/*mean (0.0594242), correlation (0.544026)*/,
|
||||
-13,7, -11,1/*mean (0.0597391), correlation (0.550524)*/,
|
||||
-13,12, -11,-13/*mean (0.0608974), correlation (0.55383)*/,
|
||||
6,0, 11,-13/*mean (0.065126), correlation (0.552006)*/,
|
||||
0,-1, 1,4/*mean (0.074224), correlation (0.546372)*/,
|
||||
-13,3, -9,-2/*mean (0.0808592), correlation (0.554875)*/,
|
||||
-9,8, -6,-3/*mean (0.0883378), correlation (0.551178)*/,
|
||||
-13,-6, -8,-2/*mean (0.0901035), correlation (0.548446)*/,
|
||||
5,-9, 8,10/*mean (0.0949843), correlation (0.554694)*/,
|
||||
2,7, 3,-9/*mean (0.0994152), correlation (0.550979)*/,
|
||||
-1,-6, -1,-1/*mean (0.10045), correlation (0.552714)*/,
|
||||
9,5, 11,-2/*mean (0.100686), correlation (0.552594)*/,
|
||||
11,-3, 12,-8/*mean (0.101091), correlation (0.532394)*/,
|
||||
3,0, 3,5/*mean (0.101147), correlation (0.525576)*/,
|
||||
-1,4, 0,10/*mean (0.105263), correlation (0.531498)*/,
|
||||
3,-6, 4,5/*mean (0.110785), correlation (0.540491)*/,
|
||||
-13,0, -10,5/*mean (0.112798), correlation (0.536582)*/,
|
||||
5,8, 12,11/*mean (0.114181), correlation (0.555793)*/,
|
||||
8,9, 9,-6/*mean (0.117431), correlation (0.553763)*/,
|
||||
7,-4, 8,-12/*mean (0.118522), correlation (0.553452)*/,
|
||||
-10,4, -10,9/*mean (0.12094), correlation (0.554785)*/,
|
||||
7,3, 12,4/*mean (0.122582), correlation (0.555825)*/,
|
||||
9,-7, 10,-2/*mean (0.124978), correlation (0.549846)*/,
|
||||
7,0, 12,-2/*mean (0.127002), correlation (0.537452)*/,
|
||||
-1,-6, 0,-11/*mean (0.127148), correlation (0.547401)*/
|
||||
};
|
||||
Reference in New Issue
Block a user