o W hw@sDddlZddlZddlmZmZmZddlmZGdddeZdS)N) BaseSolutionSolutionAnnotatorSolutionResults)colorscs0eZdZdZfddZddZddZZS)DistanceCalculationa A class to calculate distance between two objects in a real-time video stream based on their tracks. This class extends BaseSolution to provide functionality for selecting objects and calculating the distance between them in a video stream using YOLO object detection and tracking. Attributes: left_mouse_count (int): Counter for left mouse button clicks. selected_boxes (Dict[int, List[float]]): Dictionary to store selected bounding boxes and their track IDs. centroids (List[List[int]]): List to store centroids of selected bounding boxes. Methods: mouse_event_for_distance: Handles mouse events for selecting objects in the video stream. process: Processes video frames and calculates the distance between selected objects. Examples: >>> distance_calc = DistanceCalculation() >>> frame = cv2.imread("frame.jpg") >>> results = distance_calc.process(frame) >>> cv2.imshow("Distance Calculation", results.plot_im) >>> cv2.waitKey(0) c s(tjdi|d|_i|_g|_dS)zZInitializes the DistanceCalculation class for measuring object distances in video streams.rN)super__init__left_mouse_countselected_boxes centroids)selfkwargs __class__r^/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/solutions/distance_calculation.pyr #s zDistanceCalculation.__init__cCs|tjkrK|jd7_|jdkrGt|j|jD]0\}}|d|kr*|dkrFnq|d|kr:|dkrFnq||jvrF||j|<qdSdS|tjkrXi|_d|_dSdS)a Handles mouse events to select regions in a real-time video stream for distance calculation. Args: event (int): Type of mouse event (e.g., cv2.EVENT_MOUSEMOVE, cv2.EVENT_LBUTTONDOWN). x (int): X-coordinate of the mouse pointer. y (int): Y-coordinate of the mouse pointer. flags (int): Flags associated with the event (e.g., cv2.EVENT_FLAG_CTRLKEY, cv2.EVENT_FLAG_SHIFTKEY). param (Any): Additional parameters passed to the function. Examples: >>> # Assuming 'dc' is an instance of DistanceCalculation >>> cv2.setMouseCallback("window_name", dc.mouse_event_for_distance) rN)cv2EVENT_LBUTTONDOWNr zipboxes track_idsr EVENT_RBUTTONDOWN)r eventxyflagsparamboxtrack_idrrrmouse_event_for_distance,s  J   z,DistanceCalculation.mouse_event_for_distancec CsL||t||jd}d}t|j|j|j|jD]0\}}}}|j|t t |d| |||dt |j dkrI|j D] }||krH||j |<q=qt |j dkr|jdd|j Dt|jdd|jddd|jdd|jddd}|||jg|_|} || td |jt| |t |jd S) a Processes a video frame and calculates the distance between two selected bounding boxes. This method extracts tracks from the input frame, annotates bounding boxes, and calculates the distance between two user-selected objects if they have been chosen. Args: im0 (numpy.ndarray): The input image frame to process. Returns: (SolutionResults): Contains processed image `plot_im`, `total_tracks` (int) representing the total number of tracked objects, and `pixels_distance` (float) representing the distance between selected objects in pixels. Examples: >>> import numpy as np >>> from ultralytics.solutions import DistanceCalculation >>> dc = DistanceCalculation() >>> frame = np.random.randint(0, 255, (480, 640, 3), dtype=np.uint8) >>> results = dc.process(frame) >>> print(f"Distance: {results.pixels_distance:.2f} pixels") ) line_widthrT)colorlabelrcSs<g|]}t|d|ddt|d|ddgqS)rrrr)int).0r rrr ns<z/DistanceCalculation.process..rzUltralytics Solutions)plot_impixels_distance total_tracks)extract_tracksrr#rrrclssconfs box_labelrr&adjust_box_labellenr keysr extendvaluesmathsqrtplot_distance_and_lineresultdisplay_outputrsetMouseCallbackr"r) r im0 annotatorr*r r!clsconftrk_idr)rrrprocessFs. "$ > zDistanceCalculation.process)__name__ __module__ __qualname____doc__r r"r@ __classcell__rrrrr s   r) r5rultralytics.solutions.solutionsrrrultralytics.utils.plottingrrrrrrs