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| comments: true | |
| description: Distance Calculation Using Ultralytics YOLOv8 | |
| keywords: Ultralytics, YOLOv8, Object Detection, Distance Calculation, Object Tracking, Notebook, IPython Kernel, CLI, Python SDK | |
| # Distance Calculation using Ultralytics YOLOv8 🚀 | |
| ## What is Distance Calculation? | |
| Measuring the gap between two objects is known as distance calculation within a specified space. In the case of [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics), the bounding box centroid is employed to calculate the distance for bounding boxes highlighted by the user. | |
| <p align="center"> | |
| <br> | |
| <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/LE8am1QoVn4" | |
| title="YouTube video player" frameborder="0" | |
| allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" | |
| allowfullscreen> | |
| </iframe> | |
| <br> | |
| <strong>Watch:</strong> Distance Calculation using Ultralytics YOLOv8 | |
| </p> | |
| ## Visuals | |
| | Distance Calculation using Ultralytics YOLOv8 | | |
| |:-----------------------------------------------------------------------------------------------------------------------------------------------:| | |
| |  | | |
| ## Advantages of Distance Calculation? | |
| - **Localization Precision:** Enhances accurate spatial positioning in computer vision tasks. | |
| - **Size Estimation:** Allows estimation of physical sizes for better contextual understanding. | |
| - **Scene Understanding:** Contributes to a 3D understanding of the environment for improved decision-making. | |
| ???+ tip "Distance Calculation" | |
| - Click on any two bounding boxes with Left Mouse click for distance calculation | |
| !!! Example "Distance Calculation using YOLOv8 Example" | |
| === "Video Stream" | |
| ```python | |
| from ultralytics import YOLO | |
| from ultralytics.solutions import distance_calculation | |
| import cv2 | |
| model = YOLO("yolov8n.pt") | |
| names = model.model.names | |
| cap = cv2.VideoCapture("path/to/video/file.mp4") | |
| assert cap.isOpened(), "Error reading video file" | |
| w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS)) | |
| # Video writer | |
| video_writer = cv2.VideoWriter("distance_calculation.avi", | |
| cv2.VideoWriter_fourcc(*'mp4v'), | |
| fps, | |
| (w, h)) | |
| # Init distance-calculation obj | |
| dist_obj = distance_calculation.DistanceCalculation() | |
| dist_obj.set_args(names=names, view_img=True) | |
| while cap.isOpened(): | |
| success, im0 = cap.read() | |
| if not success: | |
| print("Video frame is empty or video processing has been successfully completed.") | |
| break | |
| tracks = model.track(im0, persist=True, show=False) | |
| im0 = dist_obj.start_process(im0, tracks) | |
| video_writer.write(im0) | |
| cap.release() | |
| video_writer.release() | |
| cv2.destroyAllWindows() | |
| ``` | |
| ???+ tip "Note" | |
| - Mouse Right Click will delete all drawn points | |
| - Mouse Left Click can be used to draw points | |
| ### Optional Arguments `set_args` | |
| | Name | Type | Default | Description | | |
| |------------------|--------|-----------------|--------------------------------------------------------| | |
| | `names` | `dict` | `None` | Classes names | | |
| | `view_img` | `bool` | `False` | Display frames with counts | | |
| | `line_thickness` | `int` | `2` | Increase bounding boxes thickness | | |
| | `line_color` | `RGB` | `(255, 255, 0)` | Line Color for centroids mapping on two bounding boxes | | |
| | `centroid_color` | `RGB` | `(255, 0, 255)` | Centroid color for each bounding box | | |
| ### Arguments `model.track` | |
| | Name | Type | Default | Description | | |
| |-----------|---------|----------------|-------------------------------------------------------------| | |
| | `source` | `im0` | `None` | source directory for images or videos | | |
| | `persist` | `bool` | `False` | persisting tracks between frames | | |
| | `tracker` | `str` | `botsort.yaml` | Tracking method 'bytetrack' or 'botsort' | | |
| | `conf` | `float` | `0.3` | Confidence Threshold | | |
| | `iou` | `float` | `0.5` | IOU Threshold | | |
| | `classes` | `list` | `None` | filter results by class, i.e. classes=0, or classes=[0,2,3] | | |
| | `verbose` | `bool` | `True` | Display the object tracking results | | |