Comments (1)
@ZYJIQVV hello!
Thank you for reaching out. To disable the Weights & Biases (wandb) integration in YOLOv8, you can set the --logger
argument to None
when running your training or other tasks. This will prevent wandb from initializing and eliminate the prompts you're encountering.
Here's an example of how to do this:
yolo train data=coco128.yaml model=yolov8n.pt epochs=100 imgsz=640 logger=None
Or, if you're using the Python API:
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n.pt')
# Train the model with wandb disabled
results = model.train(data='coco128.yaml', epochs=100, imgsz=640, logger=None)
This should help you avoid the wandb prompts and save you some time and energy. If you have any other questions or run into further issues, feel free to ask!
from ultralytics.
Related Issues (20)
- Process group init fails when training YOLOv8 after successful tunning [Databricks] [single node GPU] HOT 4
- Train with single gpu HOT 3
- Yolo8-OnnxRuntime-CPP-Inference awful output HOT 6
- confusion matrix single HOT 3
- How to add the bounding box values to the labels text files during prediction with a trained YOLO-V8 instance segmentation model? HOT 4
- Class imabalance dataloader HOT 1
- Replace confidence score for forward pass for. yolov8. Default is 0.25 HOT 5
- The Yolov8 model is wrong in predicting probability HOT 9
- Superfluous line in Model HOT 2
- Re train yolov8n.pt to detect more objects from a custom dataset? HOT 23
- image 1/1 D:\yolov8\ultralytics-main\ultralytics\assets\bus.jpg: 640x480 (no detections), 510.2ms Speed: 15.5ms preprocess, 510.2ms inference, 18.0ms postprocess per image at shape (1, 3, 640, 480) HOT 4
- Issues with using dataset which is not is square dimensions. HOT 4
- Whether to support anchor-base HOT 3
- How can i plot the loss and mAP diagram after training yolov8 ? HOT 6
- YOLOv10 NCNN export HOT 2
- segmentation HOT 1
- unexpected freezed layer HOT 4
- KeyError When Customization to YOLOv8 Model: HOT 11
- YOLOv10 export: Setting simplify=True raise exception HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ultralytics.