j?^ddlmZddlZddlZddlmZmZmZddl m Z GddeZ dS))AnyN) BaseSolutionSolutionAnnotatorSolutionResults)colorscFeZdZdZdeddffd ZdejdefdZ xZ S) TrackZoneaA class to manage region-based object tracking in a video stream. This class extends the BaseSolution class and provides functionality for tracking objects within a specific region defined by a polygonal area. Objects outside the region are excluded from tracking. Attributes: region (np.ndarray): The polygonal region for tracking, represented as a convex hull of points. line_width (int): Width of the lines used for drawing bounding boxes and region boundaries. names (list[str]): List of class names that the model can detect. boxes (list[np.ndarray]): Bounding boxes of tracked objects. track_ids (list[int]): Unique identifiers for each tracked object. clss (list[int]): Class indices of tracked objects. Methods: process: Process each frame of the video, applying region-based tracking. extract_tracks: Extract tracking information from the input frame. display_output: Display the processed output. Examples: >>> tracker = TrackZone() >>> frame = cv2.imread("frame.jpg") >>> results = tracker.process(frame) >>> cv2.imshow("Tracked Frame", results.plot_im) kwargsreturnNc tjdi|gd}tjt j|jp|tj|_d|_dS)zInitialize the TrackZone class for tracking objects within a defined region in video streams. Args: **kwargs (Any): Additional keyword arguments passed to the parent class. ))Kr )5r )r)r r)dtypeN) super__init__cv2 convexHullnparrayregionint32mask)selfr default_region __class__s d/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/solutions/trackzone.pyrzTrackZone.__init__&sc ""6"""EEEnRXdk.K^SUS[%\%\%\]]  im0c t||j}|jGtj|dddddf|_t j|j|jgdt j|||j}| |t j ||jgdd|jdz t|j |j |j|jD]C\}}}}|||||| t%|d D|}||t+|t-|j  S) aProcess the input frame to track objects within a defined region. This method initializes the annotator, creates a mask for the specified region, extracts tracks only from the masked area, and updates tracking information. Objects outside the region are ignored. Args: im0 (np.ndarray): The input image or frame to be processed. Returns: (SolutionResults): Contains processed image `plot_im` and `total_tracks` (int) representing the total number of tracked objects within the defined region. Examples: >>> tracker = TrackZone() >>> frame = cv2.imread("path/to/image.jpg") >>> results = tracker.process(frame) ) line_widthNr)rT)r#r#r#)isClosedcolor thickness)track_id)labelr&)plot_im total_tracks)rr"rr zeros_likerfillPolyr bitwise_andextract_tracks polylineszipboxes track_idsclssconfs box_labeladjust_box_labelrresultdisplay_outputrlen) rr annotator masked_frameboxr(clsconfr*s rprocesszTrackZone.process1sw$&cdoFFF 9  c!!!QQQ'l33DI LT[M3 7 7 7sCdi@@@  L))) cDK=4Z^ZilmZmnnnn),DJ SWS](^(^   $C3   400dX0NNV\]egkVlVl     ""$$ G$$$wS=P=PQQQQr) __name__ __module__ __qualname____doc__rrrndarrayrr@ __classcell__)rs@rr r s2        'R2:'R/'R'R'R'R'R'R'R'Rrr ) typingrrnumpyrultralytics.solutions.solutionsrrrultralytics.utils.plottingrr rrrrKs \\\\\\\\\\------LRLRLRLRLR LRLRLRLRLRr