update

ultralytics/solutions/object_counter.py

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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 LineString, Point, Polygon
+
+
+class ObjectCounter:
+    """A class to manage the counting of objects in a real-time video stream based on their tracks."""
+
+    def __init__(self):
+        """Initializes the Counter with default values for various tracking and counting parameters."""
+
+        # Mouse events
+        self.is_drawing = False
+        self.selected_point = None
+
+        # Region & Line Information
+        self.reg_pts = [(20, 400), (1260, 400)]
+        self.line_dist_thresh = 15
+        self.counting_region = None
+        self.region_color = (255, 0, 255)
+        self.region_thickness = 5
+
+        # Image and annotation Information
+        self.im0 = None
+        self.tf = None
+        self.view_img = False
+        self.view_in_counts = True
+        self.view_out_counts = True
+
+        self.names = None  # Classes names
+        self.annotator = None  # Annotator
+        self.window_name = "Ultralytics YOLOv8 Object Counter"
+
+        # Object counting Information
+        self.in_counts = 0
+        self.out_counts = 0
+        self.counting_dict = {}
+        self.count_txt_thickness = 0
+        self.count_txt_color = (0, 0, 0)
+        self.count_color = (255, 255, 255)
+
+        # Tracks info
+        self.track_history = defaultdict(list)
+        self.track_thickness = 2
+        self.draw_tracks = False
+        self.track_color = (0, 255, 0)
+
+        # Check if environment support imshow
+        self.env_check = check_imshow(warn=True)
+
+    def set_args(
+        self,
+        classes_names,
+        reg_pts,
+        count_reg_color=(255, 0, 255),
+        line_thickness=2,
+        track_thickness=2,
+        view_img=False,
+        view_in_counts=True,
+        view_out_counts=True,
+        draw_tracks=False,
+        count_txt_thickness=2,
+        count_txt_color=(0, 0, 0),
+        count_color=(255, 255, 255),
+        track_color=(0, 255, 0),
+        region_thickness=5,
+        line_dist_thresh=15,
+    ):
+        """
+        Configures the Counter's image, bounding box line thickness, and counting region points.
+
+        Args:
+            line_thickness (int): Line thickness for bounding boxes.
+            view_img (bool): Flag to control whether to display the video stream.
+            view_in_counts (bool): Flag to control whether to display the incounts on video stream.
+            view_out_counts (bool): Flag to control whether to display the outcounts on video stream.
+            reg_pts (list): Initial list of points defining the counting region.
+            classes_names (dict): Classes names
+            track_thickness (int): Track thickness
+            draw_tracks (Bool): draw tracks
+            count_txt_thickness (int): Text thickness for object counting display
+            count_txt_color (RGB color): count text color value
+            count_color (RGB color): count text background color value
+            count_reg_color (RGB color): Color of object counting region
+            track_color (RGB color): color for tracks
+            region_thickness (int): Object counting Region thickness
+            line_dist_thresh (int): Euclidean Distance threshold for line counter
+        """
+        self.tf = line_thickness
+        self.view_img = view_img
+        self.view_in_counts = view_in_counts
+        self.view_out_counts = view_out_counts
+        self.track_thickness = track_thickness
+        self.draw_tracks = draw_tracks
+
+        # Region and line selection
+        if len(reg_pts) == 2:
+            print("Line Counter Initiated.")
+            self.reg_pts = reg_pts
+            self.counting_region = LineString(self.reg_pts)
+        elif len(reg_pts) >= 3:
+            print("Region Counter Initiated.")
+            self.reg_pts = reg_pts
+            self.counting_region = Polygon(self.reg_pts)
+        else:
+            print("Invalid Region points provided, region_points must be 2 for lines or >= 3 for polygons.")
+            print("Using Line Counter Now")
+            self.counting_region = LineString(self.reg_pts)
+
+        self.names = classes_names
+        self.track_color = track_color
+        self.count_txt_thickness = count_txt_thickness
+        self.count_txt_color = count_txt_color
+        self.count_color = count_color
+        self.region_color = count_reg_color
+        self.region_thickness = region_thickness
+        self.line_dist_thresh = line_dist_thresh
+
+    def mouse_event_for_region(self, event, x, y, flags, params):
+        """
+        This function is designed to move region with mouse events in a real-time video stream.
+
+        Args:
+            event (int): The type of mouse event (e.g., cv2.EVENT_MOUSEMOVE, cv2.EVENT_LBUTTONDOWN, etc.).
+            x (int): The x-coordinate of the mouse pointer.
+            y (int): The y-coordinate of the mouse pointer.
+            flags (int): Any flags associated with the event (e.g., cv2.EVENT_FLAG_CTRLKEY,
+                cv2.EVENT_FLAG_SHIFTKEY, etc.).
+            params (dict): Additional parameters you may want to pass to the function.
+        """
+        if event == cv2.EVENT_LBUTTONDOWN:
+            for i, point in enumerate(self.reg_pts):
+                if (
+                    isinstance(point, (tuple, list))
+                    and len(point) >= 2
+                    and (abs(x - point[0]) < 10 and abs(y - point[1]) < 10)
+                ):
+                    self.selected_point = i
+                    self.is_drawing = True
+                    break
+
+        elif event == cv2.EVENT_MOUSEMOVE:
+            if self.is_drawing and self.selected_point is not None:
+                self.reg_pts[self.selected_point] = (x, y)
+                self.counting_region = Polygon(self.reg_pts)
+
+        elif event == cv2.EVENT_LBUTTONUP:
+            self.is_drawing = False
+            self.selected_point = None
+
+    def extract_and_process_tracks(self, tracks):
+        """Extracts and processes tracks for object counting in a video stream."""
+
+        # Annotator Init and region drawing
+        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"{track_id}:{self.names[cls]}", color=colors(int(track_id), True))
+
+                # Draw Tracks
+                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 self.draw_tracks:
+                    self.annotator.draw_centroid_and_tracks(
+                        track_line, color=self.track_color, track_thickness=self.track_thickness
+                    )
+
+                prev_position = self.track_history[track_id][-2] if len(self.track_history[track_id]) > 1 else None
+                centroid = Point((box[:2] + box[2:]) / 2)
+
+                # Count objects
+                if len(self.reg_pts) >= 3:  # any polygon
+                    is_inside = self.counting_region.contains(centroid)
+                    current_position = "in" if is_inside else "out"
+
+                    if prev_position is not None:
+                        if self.counting_dict[track_id] != current_position and is_inside:
+                            self.in_counts += 1
+                            self.counting_dict[track_id] = "in"
+                        elif self.counting_dict[track_id] != current_position and not is_inside:
+                            self.out_counts += 1
+                            self.counting_dict[track_id] = "out"
+                        else:
+                            self.counting_dict[track_id] = current_position
+
+                    else:
+                        self.counting_dict[track_id] = current_position
+
+                elif len(self.reg_pts) == 2:
+                    if prev_position is not None:
+                        is_inside = (box[0] - prev_position[0]) * (
+                            self.counting_region.centroid.x - prev_position[0]
+                        ) > 0
+                        current_position = "in" if is_inside else "out"
+
+                        if self.counting_dict[track_id] != current_position and is_inside:
+                            self.in_counts += 1
+                            self.counting_dict[track_id] = "in"
+                        elif self.counting_dict[track_id] != current_position and not is_inside:
+                            self.out_counts += 1
+                            self.counting_dict[track_id] = "out"
+                        else:
+                            self.counting_dict[track_id] = current_position
+                    else:
+                        self.counting_dict[track_id] = None
+
+        incount_label = f"In Count : {self.in_counts}"
+        outcount_label = f"OutCount : {self.out_counts}"
+
+        # Display counts based on user choice
+        counts_label = None
+        if not self.view_in_counts and not self.view_out_counts:
+            counts_label = None
+        elif not self.view_in_counts:
+            counts_label = outcount_label
+        elif not self.view_out_counts:
+            counts_label = incount_label
+        else:
+            counts_label = f"{incount_label} {outcount_label}"
+
+        if counts_label is not None:
+            self.annotator.count_labels(
+                counts=counts_label,
+                count_txt_size=self.count_txt_thickness,
+                txt_color=self.count_txt_color,
+                color=self.count_color,
+            )
+
+    def display_frames(self):
+        """Display frame."""
+        if self.env_check:
+            self.annotator.draw_region(reg_pts=self.reg_pts, color=self.region_color, thickness=self.region_thickness)
+            cv2.namedWindow(self.window_name)
+            if len(self.reg_pts) == 4:  # only add mouse event If user drawn region
+                cv2.setMouseCallback(self.window_name, self.mouse_event_for_region, {"region_points": self.reg_pts})
+            cv2.imshow(self.window_name, self.im0)
+            # Break Window
+            if cv2.waitKey(1) & 0xFF == ord("q"):
+                return
+
+    def start_counting(self, im0, tracks):
+        """
+        Main function to start the object counting 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 image
+        self.extract_and_process_tracks(tracks)  # draw region even if no objects
+
+        if self.view_img:
+            self.display_frames()
+        return self.im0
+
+
+if __name__ == "__main__":
+    ObjectCounter()