HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Update YOLO11 Actions and Docs (#16596)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Ultralytics Assistant 2024-10-01 16:58:12 +02:00 • committed by GitHub
parent 51e93d6111
commit 97f38409fb
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
124 changed files with 1948 additions and 1948 deletions
Download patch file Download diff file Expand all files Collapse all files

38
docs/en/guides/distance-calculation.md
View file

@ -1,14 +1,14 @@
---
comments: true
description: Learn how to calculate distances between objects using Ultralytics YOLOv8 for accurate spatial positioning and scene understanding.
keywords: Ultralytics, YOLOv8, distance calculation, computer vision, object tracking, spatial positioning
description: Learn how to calculate distances between objects using Ultralytics YOLO11 for accurate spatial positioning and scene understanding.
keywords: Ultralytics, YOLO11, distance calculation, computer vision, object tracking, spatial positioning
---
# Distance Calculation using Ultralytics YOLOv8
# 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 YOLOv8](https://github.com/ultralytics/ultralytics), the [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroid is employed to calculate the distance for bounding boxes highlighted by the user.
Measuring the gap between two objects is known as distance calculation within a specified space. In the case of [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics), the [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroid is employed to calculate the distance for bounding boxes highlighted by the user.
<p align="center">
<br>
@ -18,14 +18,14 @@ Measuring the gap between two objects is known as distance calculation within a
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Distance Calculation using Ultralytics YOLOv8
<strong>Watch:</strong> Distance Calculation using Ultralytics YOLO11
</p>
## Visuals
| Distance Calculation using Ultralytics YOLOv8 |
| Distance Calculation using Ultralytics YOLO11 |
| :---------------------------------------------------------------------------------------------------------------------------: |
| ![Ultralytics YOLOv8 Distance Calculation](https://github.com/ultralytics/docs/releases/download/0/distance-calculation.avif) |
| ![Ultralytics YOLO11 Distance Calculation](https://github.com/ultralytics/docs/releases/download/0/distance-calculation.avif) |
## Advantages of Distance Calculation?
@ -36,7 +36,7 @@ Measuring the gap between two objects is known as distance calculation within a
- Click on any two bounding boxes with Left Mouse click for distance calculation
!!! example "Distance Calculation using YOLOv8 Example"
!!! example "Distance Calculation using YOLO11 Example"
=== "Video Stream"
@ -45,7 +45,7 @@ Measuring the gap between two objects is known as distance calculation within a
from ultralytics import YOLO, solutions
model = YOLO("yolov8n.pt")
model = YOLO("yolo11n.pt")
names = model.model.names
cap = cv2.VideoCapture("path/to/video/file.mp4")
@ -98,29 +98,29 @@ Measuring the gap between two objects is known as distance calculation within a
## FAQ
### How do I calculate distances between objects using Ultralytics YOLOv8?
### How do I calculate distances between objects using Ultralytics YOLO11?
To calculate distances between objects using [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics), 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](#distance-calculation-using-ultralytics-yolov8).
To calculate distances between objects using [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics), 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](#distance-calculation-using-ultralytics-yolo11).
### What are the advantages of using distance calculation with Ultralytics YOLOv8?
### What are the advantages of using distance calculation with Ultralytics YOLO11?
Using distance calculation with Ultralytics YOLOv8 offers several advantages:
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 YOLOv8?
### 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 YOLOv8. The process involves capturing video frames using [OpenCV](https://www.ultralytics.com/glossary/opencv), running YOLOv8 [object detection](https://www.ultralytics.com/glossary/object-detection), and using the `DistanceCalculation` class to calculate distances between objects in successive frames. For a detailed implementation, see the [video stream example](#distance-calculation-using-ultralytics-yolov8).
Yes, you can perform distance calculation in real-time video streams with Ultralytics YOLO11. The process involves capturing video frames using [OpenCV](https://www.ultralytics.com/glossary/opencv), running YOLO11 [object detection](https://www.ultralytics.com/glossary/object-detection), and using the `DistanceCalculation` class to calculate distances between objects in successive frames. For a detailed implementation, see the [video stream example](#distance-calculation-using-ultralytics-yolo11).
### How do I delete points drawn during distance calculation using Ultralytics YOLOv8?
### How do I delete points drawn during distance calculation using Ultralytics YOLO11?
To delete points drawn during distance calculation with Ultralytics YOLOv8, 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](#distance-calculation-using-ultralytics-yolov8).
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](#distance-calculation-using-ultralytics-yolo11).
### What are the key arguments for initializing the DistanceCalculation class in Ultralytics YOLOv8?
### What are the key arguments for initializing the DistanceCalculation class in Ultralytics YOLO11?
The key arguments for initializing the `DistanceCalculation` class in Ultralytics YOLOv8 include:
The key arguments for initializing the `DistanceCalculation` class in Ultralytics YOLO11 include:
- `names`: Dictionary mapping class indices to class names.
- `view_img`: Flag to indicate if the video stream should be displayed.