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| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| from collections import defaultdict | |
| import cv2 | |
| from ultralytics.utils.checks import check_imshow, check_requirements | |
| from ultralytics.utils.plotting import Annotator, colors | |
| check_requirements("shapely>=2.0.0") | |
| from shapely.geometry import Point, Polygon | |
| class QueueManager: | |
| """A class to manage the queue in a real-time video stream based on object tracks.""" | |
| def __init__( | |
| self, | |
| classes_names, | |
| reg_pts=None, | |
| line_thickness=2, | |
| track_thickness=2, | |
| view_img=False, | |
| region_color=(255, 0, 255), | |
| view_queue_counts=True, | |
| draw_tracks=False, | |
| count_txt_color=(255, 255, 255), | |
| track_color=None, | |
| region_thickness=5, | |
| fontsize=0.7, | |
| ): | |
| """ | |
| Initializes the QueueManager with specified parameters for tracking and counting objects. | |
| Args: | |
| classes_names (dict): A dictionary mapping class IDs to class names. | |
| reg_pts (list of tuples, optional): Points defining the counting region polygon. Defaults to a predefined | |
| rectangle. | |
| line_thickness (int, optional): Thickness of the annotation lines. Defaults to 2. | |
| track_thickness (int, optional): Thickness of the track lines. Defaults to 2. | |
| view_img (bool, optional): Whether to display the image frames. Defaults to False. | |
| region_color (tuple, optional): Color of the counting region lines (BGR). Defaults to (255, 0, 255). | |
| view_queue_counts (bool, optional): Whether to display the queue counts. Defaults to True. | |
| draw_tracks (bool, optional): Whether to draw tracks of the objects. Defaults to False. | |
| count_txt_color (tuple, optional): Color of the count text (BGR). Defaults to (255, 255, 255). | |
| track_color (tuple, optional): Color of the tracks. If None, different colors will be used for different | |
| tracks. Defaults to None. | |
| region_thickness (int, optional): Thickness of the counting region lines. Defaults to 5. | |
| fontsize (float, optional): Font size for the text annotations. Defaults to 0.7. | |
| """ | |
| # Mouse events state | |
| self.is_drawing = False | |
| self.selected_point = None | |
| # Region & Line Information | |
| self.reg_pts = reg_pts if reg_pts is not None else [(20, 60), (20, 680), (1120, 680), (1120, 60)] | |
| self.counting_region = ( | |
| Polygon(self.reg_pts) if len(self.reg_pts) >= 3 else Polygon([(20, 60), (20, 680), (1120, 680), (1120, 60)]) | |
| ) | |
| self.region_color = region_color | |
| self.region_thickness = region_thickness | |
| # Image and annotation Information | |
| self.im0 = None | |
| self.tf = line_thickness | |
| self.view_img = view_img | |
| self.view_queue_counts = view_queue_counts | |
| self.fontsize = fontsize | |
| self.names = classes_names # Class names | |
| self.annotator = None # Annotator | |
| self.window_name = "Ultralytics YOLOv8 Queue Manager" | |
| # Object counting Information | |
| self.counts = 0 | |
| self.count_txt_color = count_txt_color | |
| # Tracks info | |
| self.track_history = defaultdict(list) | |
| self.track_thickness = track_thickness | |
| self.draw_tracks = draw_tracks | |
| self.track_color = track_color | |
| # Check if environment supports imshow | |
| self.env_check = check_imshow(warn=True) | |
| def extract_and_process_tracks(self, tracks): | |
| """Extracts and processes tracks for queue management in a video stream.""" | |
| # Initialize annotator and draw the queue region | |
| self.annotator = Annotator(self.im0, self.tf, self.names) | |
| if tracks[0].boxes.id is not None: | |
| boxes = tracks[0].boxes.xyxy.cpu() | |
| clss = tracks[0].boxes.cls.cpu().tolist() | |
| track_ids = tracks[0].boxes.id.int().cpu().tolist() | |
| # Extract tracks | |
| for box, track_id, cls in zip(boxes, track_ids, clss): | |
| # Draw bounding box | |
| self.annotator.box_label(box, label=f"{self.names[cls]}#{track_id}", color=colors(int(track_id), True)) | |
| # Update track history | |
| track_line = self.track_history[track_id] | |
| track_line.append((float((box[0] + box[2]) / 2), float((box[1] + box[3]) / 2))) | |
| if len(track_line) > 30: | |
| track_line.pop(0) | |
| # Draw track trails if enabled | |
| if self.draw_tracks: | |
| self.annotator.draw_centroid_and_tracks( | |
| track_line, | |
| color=self.track_color or colors(int(track_id), True), | |
| track_thickness=self.track_thickness, | |
| ) | |
| prev_position = self.track_history[track_id][-2] if len(self.track_history[track_id]) > 1 else None | |
| # Check if the object is inside the counting region | |
| if len(self.reg_pts) >= 3: | |
| is_inside = self.counting_region.contains(Point(track_line[-1])) | |
| if prev_position is not None and is_inside: | |
| self.counts += 1 | |
| # Display queue counts | |
| label = f"Queue Counts : {str(self.counts)}" | |
| if label is not None: | |
| self.annotator.queue_counts_display( | |
| label, | |
| points=self.reg_pts, | |
| region_color=self.region_color, | |
| txt_color=self.count_txt_color, | |
| ) | |
| self.counts = 0 # Reset counts after displaying | |
| self.display_frames() | |
| def display_frames(self): | |
| """Displays the current frame with annotations.""" | |
| if self.env_check: | |
| self.annotator.draw_region(reg_pts=self.reg_pts, thickness=self.region_thickness, color=self.region_color) | |
| cv2.namedWindow(self.window_name) | |
| cv2.imshow(self.window_name, self.im0) | |
| # Close window on 'q' key press | |
| if cv2.waitKey(1) & 0xFF == ord("q"): | |
| return | |
| def process_queue(self, im0, tracks): | |
| """ | |
| Main function to start the queue management process. | |
| Args: | |
| im0 (ndarray): Current frame from the video stream. | |
| tracks (list): List of tracks obtained from the object tracking process. | |
| """ | |
| self.im0 = im0 # Store the current frame | |
| self.extract_and_process_tracks(tracks) # Extract and process tracks | |
| if self.view_img: | |
| self.display_frames() # Display the frame if enabled | |
| return self.im0 | |
| if __name__ == "__main__": | |
| classes_names = {0: "person", 1: "car"} # example class names | |
| queue_manager = QueueManager(classes_names) | |