o W h@sDddlZddlZddlmZmZmZddlmZGdddeZ dS)N) BaseSolutionSolutionAnnotatorSolutionResults)colorscs(eZdZdZfddZddZZS) TrackZonea A 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: Processes each frame of the video, applying region-based tracking. extract_tracks: Extracts tracking information from the input frame. display_output: Displays the processed output. Examples: >>> tracker = TrackZone() >>> frame = cv2.imread("frame.jpg") >>> results = tracker.process(frame) >>> cv2.imshow("Tracked Frame", results.plot_im) c s<tjdi|gd}ttj|jp|tjd|_dS)z Initialize the TrackZone class for tracking objects within a defined region in video streams. Args: **kwargs (Any): Additional keyword arguments passed to the parent class. ))r)jr)r:)rr )dtypeN)super__init__cv2 convexHullnparrayregionint32)selfkwargsdefault_region __class__r S/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/solutions/trackzone.pyr %s"zTrackZone.__init__c Cst||jd}t|dddddf}t||jgd}tj|||d}||tj ||jgdd|jdd t |j |j |j |jD]\}}}}|j||j|||d t|dd qE|} || t| t|j d S) a Process 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)maskT)rrr)isClosedcolor thickness)track_id)labelr)plot_im total_tracks)rrr zeros_likerfillPolyr bitwise_andextract_tracks polylineszipboxes track_idsclssconfs box_labeladjust_box_labelrresultdisplay_outputrlen) rim0 annotatorr masked_frameboxr!clsconfr#r r rprocess0s " zTrackZone.process)__name__ __module__ __qualname____doc__r r: __classcell__r r rrr s  r) rnumpyrultralytics.solutions.solutionsrrrultralytics.utils.plottingrrr r r rs