ultralytics/docs/en/guides/distance-calculation.md

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true	Learn how to calculate distances between objects using Ultralytics YOLO11 for accurate spatial positioning and scene understanding.	Ultralytics, YOLO11, distance calculation, computer vision, object tracking, spatial positioning

Distance Calculation using Ultralytics YOLO11

What is Distance Calculation?

Measuring the gap between two objects is known as distance calculation within a specified space. In the case of Ultralytics YOLO11, the bounding box centroid is employed to calculate the distance for bounding boxes highlighted by the user.

Watch: Distance Calculation using Ultralytics YOLO11

Visuals

Distance Calculation using Ultralytics YOLO11

Advantages of Distance Calculation?

• Localization Precision: Enhances accurate spatial positioning in computer vision tasks.
• Size Estimation: Allows estimation of object size for better contextual understanding.

???+ tip "Distance Calculation"

- Click on any two bounding boxes with Left Mouse click for distance calculation
- Mouse Right Click will delete all drawn points
- Mouse Left Click can be used to draw points

???+ warning "Distance is Estimate"

    Distance will be an estimate and may not be fully accurate, as it is calculated using 2-dimensional data,
    which lacks information about the object's depth.

!!! example "Distance Calculation using Ultralytics YOLO"

=== "Python"

    ```python
    import cv2

    from ultralytics import solutions

    cap = cv2.VideoCapture("Path/to/video/file.mp4")
    assert cap.isOpened(), "Error reading video file"

    # Video writer
    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 = cv2.VideoWriter("distance_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

    # Initialize distance calculation object
    distancecalculator = solutions.DistanceCalculation(
        model="yolo11n.pt",  # path to the YOLO11 model file.
        show=True,  # display the output
    )

    # Process video
    while cap.isOpened():
        success, im0 = cap.read()

        if not success:
            print("Video frame is empty or processing is complete.")
            break

        results = distancecalculator(im0)

        print(results)  # access the output

        video_writer.write(results.plot_im)  # write the processed frame.

    cap.release()
    video_writer.release()
    cv2.destroyAllWindows()  # destroy all opened windows
    ```

DistanceCalculation() Arguments

Here's a table with the DistanceCalculation arguments:

{% from "macros/solutions-args.md" import param_table %} {{ param_table(["model"]) }}

You can also make use of various track arguments in the DistanceCalculation solution.

{% from "macros/track-args.md" import param_table %} {{ param_table(["tracker", "conf", "iou", "classes", "verbose", "device"]) }}

Moreover, the following visualization arguments are available:

{% from "macros/visualization-args.md" import param_table %} {{ param_table(["show", "line_width"]) }}

FAQ

How do I calculate distances between objects using Ultralytics YOLO11?

To calculate distances between objects using Ultralytics YOLO11, you need to identify the bounding box centroids of the detected objects. This process involves initializing the DistanceCalculation class from Ultralytics' solutions module and using the model's tracking outputs to calculate the distances. You can refer to the implementation in the distance calculation example.

What are the advantages of using distance calculation with Ultralytics YOLO11?

Using distance calculation with Ultralytics YOLO11 offers several advantages:

• Localization Precision: Provides accurate spatial positioning for objects.
• Size Estimation: Helps estimate physical sizes, contributing to better contextual understanding.
• Scene Understanding: Enhances 3D scene comprehension, aiding improved decision-making in applications like autonomous driving and surveillance.

Can I perform distance calculation in real-time video streams with Ultralytics YOLO11?

Yes, you can perform distance calculation in real-time video streams with Ultralytics YOLO11. The process involves capturing video frames using OpenCV, running YOLO11 object detection, and using the DistanceCalculation class to calculate distances between objects in successive frames. For a detailed implementation, see the video stream example.

How do I delete points drawn during distance calculation using Ultralytics YOLO11?

To delete points drawn during distance calculation with Ultralytics YOLO11, you can use a right mouse click. This action will clear all the points you have drawn. For more details, refer to the note section under the distance calculation example.

What are the key arguments for initializing the DistanceCalculation class in Ultralytics YOLO11?

The key arguments for initializing the DistanceCalculation class in Ultralytics YOLO11 include:

• model: Model file path.

For an exhaustive list and default values, see the arguments of DistanceCalculation.