o W h<'@s4ddlmZmZmZddlmZGdddeZdS)) BaseSolutionSolutionAnnotatorSolutionResults)colorscs@eZdZdZfddZddZddZdd Zd d ZZ S) ObjectCountera A class to manage the counting of objects in a real-time video stream based on their tracks. This class extends the BaseSolution class and provides functionality for counting objects moving in and out of a specified region in a video stream. It supports both polygonal and linear regions for counting. Attributes: in_count (int): Counter for objects moving inward. out_count (int): Counter for objects moving outward. counted_ids (List[int]): List of IDs of objects that have been counted. classwise_counts (Dict[str, Dict[str, int]]): Dictionary for counts, categorized by object class. region_initialized (bool): Flag indicating whether the counting region has been initialized. show_in (bool): Flag to control display of inward count. show_out (bool): Flag to control display of outward count. Methods: count_objects: Counts objects within a polygonal or linear region. store_classwise_counts: Initializes class-wise counts if not already present. display_counts: Displays object counts on the frame. process: Processes input data (frames or object tracks) and updates counts. Examples: >>> counter = ObjectCounter() >>> frame = cv2.imread("frame.jpg") >>> results = counter.process(frame) >>> print(f"Inward count: {counter.in_count}, Outward count: {counter.out_count}") c sXtjdi|d|_d|_g|_i|_d|_|jd|_|jd|_ |j d|_ dS)zSInitializes the ObjectCounter class for real-time object counting in video streams.rFshow_inshow_outN) super__init__in_count out_count counted_idsclasswise_countsregion_initializedCFGrr line_widthmargin)selfkwargs __class__r X/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/solutions/object_counter.pyr $s  zObjectCounter.__init__c Cs|dus ||jvr dSt|jdkr||j}||||grt|jdd|jddt|jdd|jddkrv|d|dkr`|jd7_|j|j|dd7<nI|j d7_ |j|j|dd7<n3|d|dkr|jd7_|j|j|dd7<n|j d7_ |j|j|dd7<|j |dSdSt|jdkr@| |j}| | |rBtdd|jDtdd|jD}td d|jDtd d|jD}||kr|d|dks ||kr#|d|dkr#|jd7_|j|j|dd7<n|j d7_ |j|j|dd7<|j |dSdSdS) ap Counts objects within a polygonal or linear region based on their tracks. Args: current_centroid (Tuple[float, float]): Current centroid coordinates (x, y) in the current frame. track_id (int): Unique identifier for the tracked object. prev_position (Tuple[float, float]): Last frame position coordinates (x, y) of the track. cls (int): Class index for classwise count updates. Examples: >>> counter = ObjectCounter() >>> track_line = {1: [100, 200], 2: [110, 210], 3: [120, 220]} >>> box = [130, 230, 150, 250] >>> track_id_num = 1 >>> previous_position = (120, 220) >>> class_to_count = 0 # In COCO model, class 0 = person >>> counter.count_objects((140, 240), track_id_num, previous_position, class_to_count) Nr rINOUTcs|]}|dVqdS)rNr .0pr r r az.ObjectCounter.count_objects..csr)rNr rr r rr!br")rlenregion LineString intersectsabsr rnamesrappendPolygoncontainsPointmaxmin) rcurrent_centroidtrack_id prev_positionclslinepolygon region_width region_heightr r r count_objects2sD @ (( zObjectCounter.count_objectscCs.|j||jvrddd|j|j|<dSdS)a Initialize class-wise counts for a specific object class if not already present. Args: cls (int): Class index for classwise count updates. Examples: >>> counter = ObjectCounter() >>> counter.store_classwise_counts(0) # Initialize counts for class index 0 >>> print(counter.classwise_counts) {'person': {'IN': 0, 'OUT': 0}} r)rrN)r(r)rr2r r rstore_classwise_countsqs z$ObjectCounter.store_classwise_countscs:fddjD}|rj||ddjdSdS)a< Display object counts on the input image or frame. Args: plot_im (numpy.ndarray): The image or frame to display counts on. Examples: >>> counter = ObjectCounter() >>> frame = cv2.imread("image.jpg") >>> counter.display_counts(frame) c sni|]3\}}|ddks|ddkrt|jr!dt|dnddjr/dt|dndqS)rrrzIN  zOUT )str capitalizerrstrip)rkeyvaluerr r s$z0ObjectCounter.display_counts..)h)rErEN)ritems annotatordisplay_analyticsr)rplot_im labels_dictr r@rdisplay_countss zObjectCounter.display_countsc Cs<|js |d|_||t||jd|_|jj|jd|jddt|j |j |j |j D]P\}}}}|jj |||||t|dd||||||d|dd|d|d df}d }t|j|dkrw|j|d }|||||q/|j}||||t||j|j|jt|j d S) a[ Process input data (frames or object tracks) and update object counts. This method initializes the counting region, extracts tracks, draws bounding boxes and regions, updates object counts, and displays the results on the input image. Args: im0 (numpy.ndarray): The input image or frame to be processed. Returns: (SolutionResults): Contains processed image `im0`, 'in_count' (int, count of objects entering the region), 'out_count' (int, count of objects exiting the region), 'classwise_count' (dict, per-class object count), and 'total_tracks' (int, total number of tracked objects). Examples: >>> counter = ObjectCounter() >>> frame = cv2.imread("path/to/image.jpg") >>> results = counter.process(frame) T)r)rBr{r )reg_ptscolor thickness)labelrNrrN)rIr rclasswise_count total_tracks)rinitialize_regionextract_tracksrrrG draw_regionr$zipboxes track_idsclssconfs box_labeladjust_box_labelrstore_tracking_historyr8r# track_historyr7resultrKdisplay_outputrr rr) rim0boxr0r2confr/r1rIr r rprocesss6 ""  (   zObjectCounter.process) __name__ __module__ __qualname____doc__r r7r8rKrf __classcell__r r rrrs ?rN)ultralytics.solutions.solutionsrrrultralytics.utils.plottingrrr r r rs