94 lines
4.2 KiB
C
94 lines
4.2 KiB
C
#ifndef _OPENCV3_VIDEO_H_
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#define _OPENCV3_VIDEO_H_
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#ifdef __cplusplus
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#include <opencv2/opencv.hpp>
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#include <opencv2/video.hpp>
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extern "C" {
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#endif
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#include "core.h"
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#ifdef __cplusplus
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typedef cv::Ptr<cv::BackgroundSubtractorMOG2>* BackgroundSubtractorMOG2;
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typedef cv::Ptr<cv::BackgroundSubtractorKNN>* BackgroundSubtractorKNN;
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typedef cv::Ptr<cv::Tracker>* Tracker;
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typedef cv::Ptr<cv::TrackerMIL>* TrackerMIL;
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typedef cv::Ptr<cv::TrackerGOTURN>* TrackerGOTURN;
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typedef cv::KalmanFilter* KalmanFilter;
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#else
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typedef void* BackgroundSubtractorMOG2;
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typedef void* BackgroundSubtractorKNN;
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typedef void* Tracker;
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typedef void* TrackerMIL;
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typedef void* TrackerGOTURN;
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typedef void* KalmanFilter;
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#endif
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BackgroundSubtractorMOG2 BackgroundSubtractorMOG2_Create();
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BackgroundSubtractorMOG2 BackgroundSubtractorMOG2_CreateWithParams(int history, double varThreshold, bool detectShadows);
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void BackgroundSubtractorMOG2_Close(BackgroundSubtractorMOG2 b);
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void BackgroundSubtractorMOG2_Apply(BackgroundSubtractorMOG2 b, Mat src, Mat dst);
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BackgroundSubtractorKNN BackgroundSubtractorKNN_Create();
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BackgroundSubtractorKNN BackgroundSubtractorKNN_CreateWithParams(int history, double dist2Threshold, bool detectShadows);
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void BackgroundSubtractorKNN_Close(BackgroundSubtractorKNN b);
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void BackgroundSubtractorKNN_Apply(BackgroundSubtractorKNN b, Mat src, Mat dst);
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void CalcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status, Mat err);
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void CalcOpticalFlowPyrLKWithParams(Mat prevImg, Mat nextImg, Mat prevPts, Mat nextPts, Mat status, Mat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold);
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void CalcOpticalFlowFarneback(Mat prevImg, Mat nextImg, Mat flow, double pyrScale, int levels,
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int winsize, int iterations, int polyN, double polySigma, int flags);
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double FindTransformECC(Mat templateImage, Mat inputImage, Mat warpMatrix, int motionType, TermCriteria criteria, Mat inputMask, int gaussFiltSize);
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bool Tracker_Init(Tracker self, Mat image, Rect boundingBox);
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bool Tracker_Update(Tracker self, Mat image, Rect* boundingBox);
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TrackerMIL TrackerMIL_Create();
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void TrackerMIL_Close(TrackerMIL self);
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KalmanFilter KalmanFilter_New(int dynamParams, int measureParams);
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KalmanFilter KalmanFilter_NewWithParams(int dynamParams, int measureParams, int controlParams, int type);
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void KalmanFilter_Close(KalmanFilter kf);
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void KalmanFilter_Init(KalmanFilter kf, int dynamParams, int measureParams);
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void KalmanFilter_InitWithParams(KalmanFilter kf, int dynamParams, int measureParams, int controlParams, int type);
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Mat KalmanFilter_Predict(KalmanFilter kf);
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Mat KalmanFilter_PredictWithParams(KalmanFilter kf, Mat control);
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Mat KalmanFilter_Correct(KalmanFilter kf, Mat measurement);
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Mat KalmanFilter_GetStatePre(KalmanFilter kf);
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Mat KalmanFilter_GetStatePost(KalmanFilter kf);
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Mat KalmanFilter_GetTransitionMatrix(KalmanFilter kf);
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Mat KalmanFilter_GetControlMatrix(KalmanFilter kf);
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Mat KalmanFilter_GetMeasurementMatrix(KalmanFilter kf);
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Mat KalmanFilter_GetProcessNoiseCov(KalmanFilter kf);
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Mat KalmanFilter_GetMeasurementNoiseCov(KalmanFilter kf);
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Mat KalmanFilter_GetErrorCovPre(KalmanFilter kf);
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Mat KalmanFilter_GetGain(KalmanFilter kf);
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Mat KalmanFilter_GetErrorCovPost(KalmanFilter kf);
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Mat KalmanFilter_GetTemp1(KalmanFilter kf);
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Mat KalmanFilter_GetTemp2(KalmanFilter kf);
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Mat KalmanFilter_GetTemp3(KalmanFilter kf);
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Mat KalmanFilter_GetTemp4(KalmanFilter kf);
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Mat KalmanFilter_GetTemp5(KalmanFilter kf);
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void KalmanFilter_SetStatePre(KalmanFilter kf, Mat statePre);
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void KalmanFilter_SetStatePost(KalmanFilter kf, Mat statePost);
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void KalmanFilter_SetTransitionMatrix(KalmanFilter kf, Mat transitionMatrix);
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void KalmanFilter_SetControlMatrix(KalmanFilter kf, Mat controlMatrix);
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void KalmanFilter_SetMeasurementMatrix(KalmanFilter kf, Mat measurementMatrix);
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void KalmanFilter_SetProcessNoiseCov(KalmanFilter kf, Mat processNoiseCov);
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void KalmanFilter_SetMeasurementNoiseCov(KalmanFilter kf, Mat measurementNoiseCov);
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void KalmanFilter_SetErrorCovPre(KalmanFilter kf, Mat errorCovPre);
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void KalmanFilter_SetGain(KalmanFilter kf, Mat gain);
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void KalmanFilter_SetErrorCovPost(KalmanFilter kf, Mat errorCovPost);
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#ifdef __cplusplus
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}
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#endif
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#endif //_OPENCV3_VIDEO_H_
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