254 lines
10 KiB
Python
Executable File
254 lines
10 KiB
Python
Executable File
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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from __future__ import annotations
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import argparse
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from collections import defaultdict
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from pathlib import Path
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from typing import Any
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import cv2
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import numpy as np
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from shapely.geometry import Polygon
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from shapely.geometry.point import Point
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from ultralytics import YOLO
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from ultralytics.utils.files import increment_path
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from ultralytics.utils.plotting import Annotator, colors
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track_history = defaultdict(list)
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current_region = None
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counting_regions = [
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{
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"name": "Ultralytics YOLO Polygon Region",
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"polygon": Polygon([(50, 80), (250, 20), (450, 80), (400, 350), (100, 350)]), # Polygon points
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"counts": 0,
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"dragging": False,
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"region_color": (255, 42, 4), # BGR Value
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"text_color": (255, 255, 255), # Region Text Color
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},
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{
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"name": "Ultralytics YOLO Rectangle Region",
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"polygon": Polygon([(200, 250), (440, 250), (440, 550), (200, 550)]), # Polygon points
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"counts": 0,
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"dragging": False,
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"region_color": (37, 255, 225), # BGR Value
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"text_color": (0, 0, 0), # Region Text Color
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},
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]
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def mouse_callback(event: int, x: int, y: int, flags: int, param: Any) -> None:
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"""Handle mouse events for region manipulation in the video frame.
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This function enables interactive region selection and dragging functionality for counting regions. It responds to
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mouse button down, move, and up events to allow users to select and reposition counting regions in real-time.
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Args:
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event (int): The mouse event type (e.g., cv2.EVENT_LBUTTONDOWN, cv2.EVENT_MOUSEMOVE).
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x (int): The x-coordinate of the mouse pointer.
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y (int): The y-coordinate of the mouse pointer.
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flags (int): Additional flags passed by OpenCV.
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param (Any): Additional parameters passed to the callback.
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Examples:
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Set up mouse callback for interactive region manipulation
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>>> cv2.setMouseCallback("window_name", mouse_callback)
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"""
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global current_region
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# Mouse left button down event
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if event == cv2.EVENT_LBUTTONDOWN:
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for region in counting_regions:
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if region["polygon"].contains(Point((x, y))):
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current_region = region
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current_region["dragging"] = True
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current_region["offset_x"] = x
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current_region["offset_y"] = y
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# Mouse move event
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elif event == cv2.EVENT_MOUSEMOVE:
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if current_region is not None and current_region["dragging"]:
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dx = x - current_region["offset_x"]
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dy = y - current_region["offset_y"]
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current_region["polygon"] = Polygon(
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[(p[0] + dx, p[1] + dy) for p in current_region["polygon"].exterior.coords]
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)
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current_region["offset_x"] = x
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current_region["offset_y"] = y
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# Mouse left button up event
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elif event == cv2.EVENT_LBUTTONUP:
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if current_region is not None and current_region["dragging"]:
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current_region["dragging"] = False
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def run(
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weights: str = "yolo11n.pt",
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source: str | None = None,
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device: str = "cpu",
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view_img: bool = False,
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save_img: bool = False,
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exist_ok: bool = False,
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classes: list[int] | None = None,
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line_thickness: int = 2,
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track_thickness: int = 2,
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region_thickness: int = 2,
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) -> None:
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"""Run object detection and counting within specified regions using YOLO and ByteTrack.
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This function performs real-time object detection, tracking, and counting within user-defined polygonal or
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rectangular regions. It supports interactive region manipulation, multiple counting areas, and both live viewing and
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video saving capabilities.
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Args:
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weights (str): Path to the YOLO model weights file.
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source (str | None): Path to the input video file.
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device (str): Processing device specification ('cpu', '0', '1', etc.).
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view_img (bool): Display results in a live window.
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save_img (bool): Save processed video to file.
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exist_ok (bool): Overwrite existing output files without incrementing.
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classes (list[int], optional): Specific class IDs to detect and track.
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line_thickness (int): Thickness of bounding box lines.
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track_thickness (int): Thickness of object tracking lines.
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region_thickness (int): Thickness of counting region boundaries.
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Examples:
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Run region counting with default settings
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>>> run(source="video.mp4", view_img=True)
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Run with custom model and specific classes
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>>> run(weights="yolo11s.pt", source="traffic.mp4", classes=[0, 2, 3], device="0")
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"""
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vid_frame_count = 0
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# Check source path
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if not Path(source).exists():
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raise FileNotFoundError(f"Source path '{source}' does not exist.")
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# Setup Model
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model = YOLO(f"{weights}")
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model.to("cuda") if device == "0" else model.to("cpu")
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# Extract classes names
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names = model.names
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# Video setup
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videocapture = cv2.VideoCapture(source)
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frame_width = int(videocapture.get(3))
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frame_height = int(videocapture.get(4))
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fps = int(videocapture.get(5))
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fourcc = cv2.VideoWriter_fourcc(*"mp4v")
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# Output setup
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save_dir = increment_path(Path("ultralytics_rc_output") / "exp", exist_ok)
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save_dir.mkdir(parents=True, exist_ok=True)
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video_writer = cv2.VideoWriter(str(save_dir / f"{Path(source).stem}.avi"), fourcc, fps, (frame_width, frame_height))
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# Iterate over video frames
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while videocapture.isOpened():
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success, frame = videocapture.read()
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if not success:
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break
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vid_frame_count += 1
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# Extract the results
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results = model.track(frame, persist=True, classes=classes)
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if results[0].boxes.is_track:
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boxes = results[0].boxes.xyxy.cpu()
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track_ids = results[0].boxes.id.int().cpu().tolist()
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clss = results[0].boxes.cls.cpu().tolist()
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annotator = Annotator(frame, line_width=line_thickness, example=str(names))
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for box, track_id, cls in zip(boxes, track_ids, clss):
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annotator.box_label(box, str(names[cls]), color=colors(cls, True))
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bbox_center = (box[0] + box[2]) / 2, (box[1] + box[3]) / 2 # Bbox center
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track = track_history[track_id] # Tracking Lines plot
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track.append((float(bbox_center[0]), float(bbox_center[1])))
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if len(track) > 30:
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track.pop(0)
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points = np.hstack(track).astype(np.int32).reshape((-1, 1, 2))
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cv2.polylines(frame, [points], isClosed=False, color=colors(cls, True), thickness=track_thickness)
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# Check if detection inside region
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for region in counting_regions:
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if region["polygon"].contains(Point((bbox_center[0], bbox_center[1]))):
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region["counts"] += 1
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# Draw regions (Polygons/Rectangles)
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for region in counting_regions:
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region_label = str(region["counts"])
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region_color = region["region_color"]
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region_text_color = region["text_color"]
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polygon_coordinates = np.array(region["polygon"].exterior.coords, dtype=np.int32)
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centroid_x, centroid_y = int(region["polygon"].centroid.x), int(region["polygon"].centroid.y)
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text_size, _ = cv2.getTextSize(
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region_label, cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.7, thickness=line_thickness
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)
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text_x = centroid_x - text_size[0] // 2
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text_y = centroid_y + text_size[1] // 2
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cv2.rectangle(
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frame,
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(text_x - 5, text_y - text_size[1] - 5),
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(text_x + text_size[0] + 5, text_y + 5),
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region_color,
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-1,
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)
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cv2.putText(
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frame, region_label, (text_x, text_y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, region_text_color, line_thickness
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)
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cv2.polylines(frame, [polygon_coordinates], isClosed=True, color=region_color, thickness=region_thickness)
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if view_img:
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if vid_frame_count == 1:
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cv2.namedWindow("Ultralytics YOLO Region Counter Movable")
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cv2.setMouseCallback("Ultralytics YOLO Region Counter Movable", mouse_callback)
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cv2.imshow("Ultralytics YOLO Region Counter Movable", frame)
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if save_img:
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video_writer.write(frame)
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for region in counting_regions: # Reinitialize count for each region
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region["counts"] = 0
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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del vid_frame_count
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video_writer.release()
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videocapture.release()
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cv2.destroyAllWindows()
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def parse_opt() -> argparse.Namespace:
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"""Parse command line arguments for the region counting application."""
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parser = argparse.ArgumentParser()
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parser.add_argument("--weights", type=str, default="yolo11n.pt", help="initial weights path")
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parser.add_argument("--device", default="", help="cuda device, i.e. 0 or 0,1,2,3 or cpu")
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parser.add_argument("--source", type=str, required=True, help="video file path")
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parser.add_argument("--view-img", action="store_true", help="show results")
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parser.add_argument("--save-img", action="store_true", help="save results")
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parser.add_argument("--exist-ok", action="store_true", help="existing project/name ok, do not increment")
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parser.add_argument("--classes", nargs="+", type=int, help="filter by class: --classes 0, or --classes 0 2 3")
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parser.add_argument("--line-thickness", type=int, default=2, help="bounding box thickness")
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parser.add_argument("--track-thickness", type=int, default=2, help="Tracking line thickness")
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parser.add_argument("--region-thickness", type=int, default=4, help="Region thickness")
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return parser.parse_args()
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def main(options: argparse.Namespace) -> None:
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"""Execute the main region counting functionality with the provided options."""
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run(**vars(options))
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if __name__ == "__main__":
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opt = parse_opt()
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main(opt)
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