Getting Bounding Box Information with live webcam

[TanJingXuan-06]

from ultralytics import YOLO
import cv2

Load your model

model = YOLO("C:/Users/user/Downloads/best.pt")

Perform object detection on webcam feed (source="0" refers to the default webcam)

results = model.predict(source=0, show=True)

Extract bounding boxes, classes, names, and confidences

boxes = results[0].boxes.xyxy.tolist()
classes = results[0].boxes.cls.tolist()
names = results[0].names
confidences = results[0].boxes.conf.tolist()
print("Hi")

Iterate through the results

for box, cls, conf in zip(boxes, classes, confidences):
x1, y1, x2, y2 = box
confidence = conf
detected_class = cls
name = names[int(cls)]

Hi, the above is my code, my code can detect the objects but I want to get a live update on the bounding box information. I want to constantly get the bounding box information while I am getting this output:

[UltralyticsAssistant]

👋 Hello @TanJingXuan-06, thank you for reaching out to Ultralytics 🚀! We're glad to see your interest in getting live bounding box information.

For new users, we suggest visiting the Docs where you can explore various Python and CLI examples, which might already cover your use case.

If this is a 🐛 Bug Report, please ensure you provide a minimum reproducible example to assist us in debugging.

If you're facing a challenge with custom training or implementation, provide detailed information and confirm you're following our Tips for Best Training Results.

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Upgrade

To ensure your issue is not already addressed, make sure you're using the latest ultralytics version. Upgrade in a Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

YOLOv8 operates seamlessly in any of the following environments:

• Notebooks with free GPU access:
• Google Cloud Deep Learning VM: Refer to the GCP Quickstart Guide
• Amazon Deep Learning AMI: Follow the AWS Quickstart Guide
• Docker Image: Refer to the Docker Quickstart Guide

Status

If the badge above is green, all CI tests are passing, confirming proper operation across platforms.

This is an automated response. An Ultralytics engineer will assist you shortly. Thank you for your patience 😊!

[glenn-jocher]

To continuously update bounding box information, place your detection and extraction code inside a loop that processes each frame from the webcam. This will ensure you receive live updates.