o W h@s@ddlZddlZddlmZddlmZmZGdddeZdS)N) ObjectCounter)SolutionAnnotatorSolutionResultscs0eZdZdZfddZddZddZZS)Heatmapa A class to draw heatmaps in real-time video streams based on object tracks. This class extends the ObjectCounter class to generate and visualize heatmaps of object movements in video streams. It uses tracked object positions to create a cumulative heatmap effect over time. Attributes: initialized (bool): Flag indicating whether the heatmap has been initialized. colormap (int): OpenCV colormap used for heatmap visualization. heatmap (np.ndarray): Array storing the cumulative heatmap data. annotator (SolutionAnnotator): Object for drawing annotations on the image. Methods: heatmap_effect: Calculate and update the heatmap effect for a given bounding box. process: Generate and apply the heatmap effect to each frame. Examples: >>> from ultralytics.solutions import Heatmap >>> heatmap = Heatmap(model="yolo11n.pt", colormap=cv2.COLORMAP_JET) >>> frame = cv2.imread("frame.jpg") >>> processed_frame = heatmap.process(frame) c sTtjdi|d|_|jdur||jddurtjn|jd|_d|_ dS)z Initialize the Heatmap class for real-time video stream heatmap generation based on object tracks. Args: **kwargs (Any): Keyword arguments passed to the parent ObjectCounter class. FNcolormap) super__init__ initializedregioninitialize_regionCFGcv2COLORMAP_PARULArheatmap)selfkwargs __class__rQ/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/solutions/heatmap.pyr "s    zHeatmap.__init__c Cstt|\}}}}t||||dd}tt||t||\}}|||dd|||dd} | |k} |j||||f| d7<dS)z Efficiently calculate heatmap area and effect location for applying colormap. Args: box (List[float]): Bounding box coordinates [x0, y0, x1, y1]. N)mapintminnpmeshgridaranger) rboxx0y0x1y1radius_squaredxvyv dist_squared within_radiusrrrheatmap_effect3s  (&zHeatmap.heatmap_effectc Cs|jstj|tjdd|_d|_||t||jd|_t |j |j |j D]U\}}}| ||jdur||jj|jd|jdd||||||d |dd|d |d df}d}t|j|d krt|j|d }|||||q'|j}|jdur|||jjdurt|jdd d tjtj}t||j} t |d| dd }|!|t"||j#|j$|j%t|j dS)a Generate heatmap for each frame using Ultralytics. Args: im0 (np.ndarray): Input image array for processing. Returns: (SolutionResults): Contains processed image `plot_im`, 'in_count' (int, count of objects entering the region), 'out_count' (int, count of objects exiting the region), 'classwise_count' (dict, per-class object count), and 'total_tracks' (int, total number of tracked objects). )dtypegGz?T) line_widthN)hr{r)reg_ptscolor thicknessrg?)plot_imin_count out_countclasswise_count total_tracks)&r r zeros_likefloat32rextract_tracksrr) annotatorzipboxes track_idsclssr'r draw_regionstore_tracking_historystore_classwise_countslen track_history count_objectsresultdisplay_counts track_dataidr normalize NORM_MINMAXastypeuint8 applyColorMapr addWeighteddisplay_outputrr4r5classwise_counts) rim0rtrack_idclscurrent_centroid prev_positionr3normalized_heatmapcolored_heatmaprrrprocessIs@     (     zHeatmap.process)__name__ __module__ __qualname____doc__r r'rY __classcell__rrrrr s  r) rnumpyr$ultralytics.solutions.object_counterrultralytics.solutions.solutionsrrrrrrrs