You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
102 lines
5.1 KiB
102 lines
5.1 KiB
--- |
|
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 |
|
import cv2 |
|
from ultralytics import YOLO, solutions |
|
|
|
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 = solutions.DistanceCalculation(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 |
|
|
|
### Arguments `DistanceCalculation()` |
|
|
|
| `Name` | `Type` | `Default` | Description | |
|
|--------------------|---------|-----------------|-----------------------------------------------------------| |
|
| `names` | `dict` | `None` | Dictionary mapping class indices to class names. | |
|
| `pixels_per_meter` | `int` | `10` | Conversion factor from pixels to meters. | |
|
| `view_img` | `bool` | `False` | Flag to indicate if the video stream should be displayed. | |
|
| `line_thickness` | `int` | `2` | Thickness of the lines drawn on the image. | |
|
| `line_color` | `tuple` | `(255, 255, 0)` | Color of the lines drawn on the image (BGR format). | |
|
| `centroid_color` | `tuple` | `(255, 0, 255)` | Color of the centroids drawn (BGR format). | |
|
|
|
### 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 |
|
|
|