how to change a label's name? about ultralytics HOT 8 CLOSED

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Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

from ultralytics.

and now i haven't learned to train a new model, just due to my task, i do this operation

from ultralytics.

and now i haven't learned to train a new model, just due to my task, i do this operation
i run it on ubuntu20.04, and use it with pip install

from ultralytics.

Hello!

If you've updated the label names in your coco8.yaml file but still see the old names during predictions, it's likely that the model you are using (yolov8n.pt) was trained with the original label names and thus retains them internally.

For immediate changes in label names without retraining, you can manually adjust the names attribute of your model after loading it, before running predictions. Here's a quick Python snippet to help you do that:

from ultralytics import YOLO

# Load your model
model = YOLO('/home/zp/test/yolov8n.pt')

# Update class names directly
model.names = {71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'Rotor', 75: 'vase', 76: 'scissors'}

# Now run prediction
results = model.predict(source='/home/zp/图片', save=True, show=True)

This way, you can ensure the predictions use the updated labels. Let me know if this helps or if you have any more questions!

from ultralytics.

Hello!

If you've updated the label names in your coco8.yaml file but still see the old names during predictions, it's likely that the model you are using (yolov8n.pt) was trained with the original label names and thus retains them internally.

For immediate changes in label names without retraining, you can manually adjust the names attribute of your model after loading it, before running predictions. Here's a quick Python snippet to help you do that:

from ultralytics import YOLO

# Load your model
model = YOLO('/home/zp/test/yolov8n.pt')

# Update class names directly
model.names = {71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'Rotor', 75: 'vase', 76: 'scissors'}

# Now run prediction
results = model.predict(source='/home/zp/图片', save=True, show=True)

This way, you can ensure the predictions use the updated labels. Let me know if this helps or if you have any more questions!
thank you very much！i can realize my goal now！

from ultralytics.

Hello!

I'm glad to hear that the solution worked for you! If you have any more questions or need further assistance as you continue working with the YOLO models, feel free to reach out. Happy detecting! 🚀

from ultralytics.

Hello!

I'm glad to hear that the solution worked for you! If you have any more questions or need further assistance as you continue working with the YOLO models, feel free to reach out. Happy detecting! 🚀

thank you for your help！i am glad to join such a big family! i have a new problem today and i just raise a new question in community! wishes for your reply!

from ultralytics.

Hello!

It's great to have you in the community! I'll take a look at your new question and respond there shortly. Keep the queries coming, and we're here to help! 🌟

Happy detecting!

from ultralytics.