CV_PROP_RW 179 apps/traincascade/old_ml.hpp CV_PROP_RW double min_val; CV_PROP_RW 180 apps/traincascade/old_ml.hpp CV_PROP_RW double max_val; CV_PROP_RW 181 apps/traincascade/old_ml.hpp CV_PROP_RW double step; CV_PROP_RW 299 apps/traincascade/old_ml.hpp CV_PROP_RW int svm_type; CV_PROP_RW 300 apps/traincascade/old_ml.hpp CV_PROP_RW int kernel_type; CV_PROP_RW 301 apps/traincascade/old_ml.hpp CV_PROP_RW double degree; // for poly CV_PROP_RW 302 apps/traincascade/old_ml.hpp CV_PROP_RW double gamma; // for poly/rbf/sigmoid/chi2 CV_PROP_RW 303 apps/traincascade/old_ml.hpp CV_PROP_RW double coef0; // for poly/sigmoid CV_PROP_RW 305 apps/traincascade/old_ml.hpp CV_PROP_RW double C; // for CV_SVM_C_SVC, CV_SVM_EPS_SVR and CV_SVM_NU_SVR CV_PROP_RW 306 apps/traincascade/old_ml.hpp CV_PROP_RW double nu; // for CV_SVM_NU_SVC, CV_SVM_ONE_CLASS, and CV_SVM_NU_SVR CV_PROP_RW 307 apps/traincascade/old_ml.hpp CV_PROP_RW double p; // for CV_SVM_EPS_SVR CV_PROP_RW 309 apps/traincascade/old_ml.hpp CV_PROP_RW CvTermCriteria term_crit; // termination criteria CV_PROP_RW 632 apps/traincascade/old_ml.hpp CV_PROP_RW int max_categories; CV_PROP_RW 633 apps/traincascade/old_ml.hpp CV_PROP_RW int max_depth; CV_PROP_RW 634 apps/traincascade/old_ml.hpp CV_PROP_RW int min_sample_count; CV_PROP_RW 635 apps/traincascade/old_ml.hpp CV_PROP_RW int cv_folds; CV_PROP_RW 636 apps/traincascade/old_ml.hpp CV_PROP_RW bool use_surrogates; CV_PROP_RW 637 apps/traincascade/old_ml.hpp CV_PROP_RW bool use_1se_rule; CV_PROP_RW 638 apps/traincascade/old_ml.hpp CV_PROP_RW bool truncate_pruned_tree; CV_PROP_RW 639 apps/traincascade/old_ml.hpp CV_PROP_RW float regression_accuracy; CV_PROP_RW 905 apps/traincascade/old_ml.hpp CV_PROP_RW bool calc_var_importance; // true <=> RF processes variable importance CV_PROP_RW 906 apps/traincascade/old_ml.hpp CV_PROP_RW int nactive_vars; CV_PROP_RW 907 apps/traincascade/old_ml.hpp CV_PROP_RW CvTermCriteria term_crit; CV_PROP_RW 1047 apps/traincascade/old_ml.hpp CV_PROP_RW int boost_type; CV_PROP_RW 1048 apps/traincascade/old_ml.hpp CV_PROP_RW int weak_count; CV_PROP_RW 1049 apps/traincascade/old_ml.hpp CV_PROP_RW int split_criteria; CV_PROP_RW 1050 apps/traincascade/old_ml.hpp CV_PROP_RW double weight_trim_rate; CV_PROP_RW 1228 apps/traincascade/old_ml.hpp CV_PROP_RW int weak_count; CV_PROP_RW 1229 apps/traincascade/old_ml.hpp CV_PROP_RW int loss_function_type; CV_PROP_RW 1230 apps/traincascade/old_ml.hpp CV_PROP_RW float subsample_portion; CV_PROP_RW 1231 apps/traincascade/old_ml.hpp CV_PROP_RW float shrinkage; CV_PROP_RW 1795 apps/traincascade/old_ml.hpp CV_PROP_RW CvTermCriteria term_crit; CV_PROP_RW 1796 apps/traincascade/old_ml.hpp CV_PROP_RW int train_method; CV_PROP_RW 1799 apps/traincascade/old_ml.hpp CV_PROP_RW double bp_dw_scale, bp_moment_scale; CV_PROP_RW 1802 apps/traincascade/old_ml.hpp CV_PROP_RW double rp_dw0, rp_dw_plus, rp_dw_minus, rp_dw_min, rp_dw_max; CV_PROP_RW 692 modules/core/include/opencv2/core/types.hpp CV_PROP_RW Point2f pt; //!< coordinates of the keypoints CV_PROP_RW 693 modules/core/include/opencv2/core/types.hpp CV_PROP_RW float size; //!< diameter of the meaningful keypoint neighborhood CV_PROP_RW 694 modules/core/include/opencv2/core/types.hpp CV_PROP_RW float angle; //!< computed orientation of the keypoint (-1 if not applicable); CV_PROP_RW 697 modules/core/include/opencv2/core/types.hpp CV_PROP_RW float response; //!< the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling CV_PROP_RW 698 modules/core/include/opencv2/core/types.hpp CV_PROP_RW int octave; //!< octave (pyramid layer) from which the keypoint has been extracted CV_PROP_RW 699 modules/core/include/opencv2/core/types.hpp CV_PROP_RW int class_id; //!< object class (if the keypoints need to be clustered by an object they belong to) CV_PROP_RW 735 modules/core/include/opencv2/core/types.hpp CV_PROP_RW int queryIdx; // query descriptor index CV_PROP_RW 736 modules/core/include/opencv2/core/types.hpp CV_PROP_RW int trainIdx; // train descriptor index CV_PROP_RW 737 modules/core/include/opencv2/core/types.hpp CV_PROP_RW int imgIdx; // train image index CV_PROP_RW 739 modules/core/include/opencv2/core/types.hpp CV_PROP_RW float distance; CV_PROP_RW 853 modules/core/include/opencv2/core/types.hpp CV_PROP_RW double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; CV_PROP_RW 858 modules/core/include/opencv2/core/types.hpp CV_PROP_RW double mu20, mu11, mu02, mu30, mu21, mu12, mu03; CV_PROP_RW 863 modules/core/include/opencv2/core/types.hpp CV_PROP_RW double nu20, nu11, nu02, nu30, nu21, nu12, nu03; CV_PROP_RW 525 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float thresholdStep; CV_PROP_RW 526 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minThreshold; CV_PROP_RW 527 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float maxThreshold; CV_PROP_RW 528 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW size_t minRepeatability; CV_PROP_RW 529 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minDistBetweenBlobs; CV_PROP_RW 531 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW bool filterByColor; CV_PROP_RW 532 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW uchar blobColor; CV_PROP_RW 534 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW bool filterByArea; CV_PROP_RW 535 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minArea, maxArea; CV_PROP_RW 537 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW bool filterByCircularity; CV_PROP_RW 538 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minCircularity, maxCircularity; CV_PROP_RW 540 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW bool filterByInertia; CV_PROP_RW 541 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minInertiaRatio, maxInertiaRatio; CV_PROP_RW 543 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW bool filterByConvexity; CV_PROP_RW 544 modules/features2d/include/opencv2/features2d.hpp CV_PROP_RW float minConvexity, maxConvexity; CV_PROP_RW 99 modules/features2d/src/brisk.cpp CV_PROP_RW int threshold; CV_PROP_RW 100 modules/features2d/src/brisk.cpp CV_PROP_RW int octaves; CV_PROP_RW 91 modules/ml/src/kdtree.hpp CV_PROP_RW int normType; //!< type of the distance (cv::NORM_L1 or cv::NORM_L2) used for search. Initially set to cv::NORM_L2, but you can modify it CV_PROP_RW 365 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat statePre; //!< predicted state (x'(k)): x(k)=A*x(k-1)+B*u(k) CV_PROP_RW 366 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat statePost; //!< corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k)) CV_PROP_RW 367 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat transitionMatrix; //!< state transition matrix (A) CV_PROP_RW 368 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat controlMatrix; //!< control matrix (B) (not used if there is no control) CV_PROP_RW 369 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat measurementMatrix; //!< measurement matrix (H) CV_PROP_RW 370 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat processNoiseCov; //!< process noise covariance matrix (Q) CV_PROP_RW 371 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat measurementNoiseCov;//!< measurement noise covariance matrix (R) CV_PROP_RW 372 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat errorCovPre; //!< priori error estimate covariance matrix (P'(k)): P'(k)=A*P(k-1)*At + Q)*/ CV_PROP_RW 373 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat gain; //!< Kalman gain matrix (K(k)): K(k)=P'(k)*Ht*inv(H*P'(k)*Ht+R) CV_PROP_RW 374 modules/video/include/opencv2/video/tracking.hpp CV_PROP_RW Mat errorCovPost; //!< posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k)