video.hpp File Reference

#include <utility>
#include <opencv2/gapi/gkernel.hpp>

Include dependency graph for video.hpp:

Classes
struct	cv::gapi::video::BackgroundSubtractorParams
	Structure for the Background Subtractor operation's initialization parameters. More...
struct	cv::detail::CompileArgTag< cv::gapi::video::BackgroundSubtractorParams >
struct	cv::gapi::KalmanParams
	Structure for the Kalman filter's initialization parameters. More...

Namespaces
namespace	cv
	"black box" representation of the file storage associated with a file on disk.
namespace	cv::detail
namespace	cv::gapi
namespace	cv::gapi::video
	This namespace contains G-API Operations and functions for video-oriented algorithms, like optical flow and background subtraction.

Typedefs
using	cv::gapi::video::GBuildPyrOutput = std::tuple< GArray< GMat >, GScalar >
using	cv::gapi::video::GOptFlowLKOutput = std::tuple< cv::GArray< cv::Point2f >, cv::GArray< uchar >, cv::GArray< float > >

Enumerations
enum	cv::gapi::video::BackgroundSubtractorType {   cv::gapi::video::TYPE_BS_MOG2 ,   cv::gapi::video::TYPE_BS_KNN }

Functions
GMat	cv::gapi::BackgroundSubtractor (const GMat &src, const cv::gapi::video::BackgroundSubtractorParams &bsParams)
	Gaussian Mixture-based or K-nearest neighbours-based Background/Foreground Segmentation Algorithm. The operation generates a foreground mask.
std::tuple< GArray< GMat >, GScalar >	cv::gapi::buildOpticalFlowPyramid (const GMat &img, const Size &winSize, const GScalar &maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true)
	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > >	cv::gapi::calcOpticalFlowPyrLK (const GArray< GMat > &prevPyr, const GArray< GMat > &nextPyr, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4)
std::tuple< GArray< Point2f >, GArray< uchar >, GArray< float > >	cv::gapi::calcOpticalFlowPyrLK (const GMat &prevImg, const GMat &nextImg, const GArray< Point2f > &prevPts, const GArray< Point2f > &predPts, const Size &winSize=Size(21, 21), const GScalar &maxLevel=3, const TermCriteria &criteria=TermCriteria(TermCriteria::COUNT|TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThresh=1e-4)
	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
void	cv::gapi::video::checkParams (const cv::gapi::KalmanParams &kfParams, const cv::GMatDesc &measurement, const cv::GMatDesc &control={})
	cv::gapi::video::G_TYPED_KERNEL (GBackgroundSubtractor,< GMat(GMat, BackgroundSubtractorParams)>, "org.opencv.video.BackgroundSubtractor")
	cv::gapi::video::G_TYPED_KERNEL (GBuildOptFlowPyramid,< GBuildPyrOutput(GMat, Size, GScalar, bool, int, int, bool)>, "org.opencv.video.buildOpticalFlowPyramid")
	cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLK,< GOptFlowLKOutput(GMat, GMat, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLK")
	cv::gapi::video::G_TYPED_KERNEL (GCalcOptFlowLKForPyr,< GOptFlowLKOutput(cv::GArray< cv::GMat >, cv::GArray< cv::GMat >, cv::GArray< cv::Point2f >, cv::GArray< cv::Point2f >, Size, GScalar, TermCriteria, int, double)>, "org.opencv.video.calcOpticalFlowPyrLKForPyr")
	cv::gapi::video::G_TYPED_KERNEL (GKalmanFilter,< GMat(GMat, GOpaque< bool >, GMat, KalmanParams)>, "org.opencv.video.KalmanFilter")
GMat	cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const cv::gapi::KalmanParams &kfParams)
GMat	cv::gapi::KalmanFilter (const GMat &measurement, const GOpaque< bool > &haveMeasurement, const GMat &control, const cv::gapi::KalmanParams &kfParams)
	Standard Kalman filter algorithm http://en.wikipedia.org/wiki/Kalman_filter.