cv::gapi::ot Namespace Reference

This namespace contains G-API Operation Types for VAS Object Tracking module functionality. More...

Namespaces
namespace	cpu

Classes
struct	ObjectTrackerParams

Typedefs
using	GTrackedInfo = std::tuple< cv::GArray< cv::Rect >, cv::GArray< int32_t >, cv::GArray< uint64_t >, cv::GArray< int > >

Enumerations
enum	TrackingStatus {   NEW = 0 ,   TRACKED ,   LOST }

Functions
std::tuple< cv::GArray< cv::Rect >, cv::GArray< int >, cv::GArray< uint64_t >, cv::GArray< int > >	track (const cv::GFrame &frame, const cv::GArray< cv::Rect > &detected_rects, const cv::GArray< int > &detected_class_labels, float delta)
	Tracks objects with video frames. Overload of track(...) for frame as GFrame.
std::tuple< cv::GArray< cv::Rect >, cv::GArray< int >, cv::GArray< uint64_t >, cv::GArray< int > >	track (const cv::GMat &mat, const cv::GArray< cv::Rect > &detected_rects, const cv::GArray< int > &detected_class_labels, float delta)
	Tracks objects with video frames. If a detected object is overlapped enough with one of tracked object, the tracked object's informationis updated with the input detected object. On the other hand, if a detected object is overlapped with none of tracked objects, the detected object is newly added and ObjectTracker starts to track the object. In zero term tracking type, ObjectTracker clears tracked objects in case that empty list of detected objects is passed in.

Detailed Description

This namespace contains G-API Operation Types for VAS Object Tracking module functionality.

Typedef Documentation

GTrackedInfo

using cv::gapi::ot::GTrackedInfo = typedef std::tuple<cv::GArray<cv::Rect>, cv::GArray<int32_t>, cv::GArray<uint64_t>, cv::GArray<int> >

Enumeration Type Documentation

TrackingStatus

enum cv::gapi::ot::TrackingStatus

Tracking status twin for vas::ot::TrackingStatus

Enumerator
NEW  Python: cv.gapi.ot.NEW	The object is newly added.
TRACKED  Python: cv.gapi.ot.TRACKED	The object is being tracked.
LOST  Python: cv.gapi.ot.LOST	The object gets lost now. The object can be tracked again by specifying detected object manually.

Function Documentation

track() [1/2]

std::tuple< cv::GArray< cv::Rect >, cv::GArray< int >, cv::GArray< uint64_t >, cv::GArray< int > > cv::gapi::ot::track	(	const cv::GFrame &	frame,
		const cv::GArray< cv::Rect > &	detected_rects,
		const cv::GArray< int > &	detected_class_labels,
		float	delta
	)

Python:
	cv.gapi.ot.track(	mat, detected_rects, detected_class_labels, delta	) ->	retval
	cv.gapi.ot.track(	frame, detected_rects, detected_class_labels, delta	) ->	retval

Tracks objects with video frames. Overload of track(...) for frame as GFrame.

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

frame	Input frame.
detected_rects	Detected objects rectangles in the input frame.
detected_class_labels	Detected objects class labels in the input frame.
delta	Frame_delta_t Delta time between two consecutive tracking in seconds. The valid range is [0.005 ~ 0.5].

Returns

Tracking results of target objects.

Tracking results of target objects. cv::GArray<cv::Rect> Array of rectangles for tracked objects. cv::GArray<int32_t> Array of detected objects labels. cv::GArray<uint64_t> Array of tracking IDs for objects. Numbering sequence starts from 1. The value 0 means the tracking ID of this object has not been assigned. cv::GArray<int> Array of tracking statuses for objects.

track() [2/2]

std::tuple< cv::GArray< cv::Rect >, cv::GArray< int >, cv::GArray< uint64_t >, cv::GArray< int > > cv::gapi::ot::track	(	const cv::GMat &	mat,
		const cv::GArray< cv::Rect > &	detected_rects,
		const cv::GArray< int > &	detected_class_labels,
		float	delta
	)

Python:
	cv.gapi.ot.track(	mat, detected_rects, detected_class_labels, delta	) ->	retval
	cv.gapi.ot.track(	frame, detected_rects, detected_class_labels, delta	) ->	retval

Tracks objects with video frames. If a detected object is overlapped enough with one of tracked object, the tracked object's informationis updated with the input detected object. On the other hand, if a detected object is overlapped with none of tracked objects, the detected object is newly added and ObjectTracker starts to track the object. In zero term tracking type, ObjectTracker clears tracked objects in case that empty list of detected objects is passed in.

Parameters

mat	Input frame.
detected_rects	Detected objects rectangles in the input frame.
detected_class_labels	Detected objects class labels in the input frame.
delta	Frame_delta_t Delta time between two consecutive tracking in seconds. The valid range is [0.005 ~ 0.5].

Returns

Tracking results of target objects. cv::GArray<cv::Rect> Array of rectangles for tracked objects. cv::GArray<int32_t> Array of detected objects labels. cv::GArray<uint64_t> Array of tracking IDs for objects. Numbering sequence starts from 1. The value 0 means the tracking ID of this object has not been assigned. cv::GArray<int> Array of tracking statuses for objects.