Comments (2)
@fyy378 hi there! It looks like the interface during your training is displaying messy visuals. This could be caused by various factors such as improper data formatting, misconfigured parameters, or a bug in the code. To better assist you, it would be helpful to know more about your system setup and the specific commands or configurations you are using for training. Additionally, have you checked the training documentation for any potential issues? The YOLOv5 documentation at https://docs.ultralytics.com/yolov5/ provides detailed guidance that might help troubleshoot your training interface. Once we have more information, we can work together to identify and resolve this issue.
from yolov5.
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
from yolov5.
Related Issues (20)
- Confusion Matrix HOT 7
- 🚀 Feature Request: Simplified Method for Changing Label Names in YOLOv5 Model HOT 3
- where is yolov5 v7.0 --trian in export.py? HOT 3
- MESSES MY SYSTEM HOT 6
- Per Detection class accuracy on validation set HOT 5
- how to find why mAP suddenly increased HOT 6
- Parameters Fusion HOT 9
- Parameters Fusion HOT 2
- A question about bbox normalization HOT 3
- Unable to train model on VisDrone HOT 7
- Author, do you have a complete Python version that reads the engine model of Tensorrt to infer strength segmentation code, which is a simple version of the official inference code. It can be run in just one file without calling too many Python files or libraries HOT 2
- Android uses YOLOv5 segmentation HOT 4
- yolov5 Tensortt errors ? HOT 11
- about physical memory and virtual memory HOT 2
- _clip_augmented: clarifications required HOT 5
- After training my own dataset, the labels of pt model inference and engine model inference are inconsistent. HOT 4
- How to Show Real-Time Detection of Multiple Streams Using Titled Display Windows in Yolov5? HOT 5
- Class scores from TFlite model's output data don't add up to 1 HOT 5
- Model size is doubled when exporting model to onnx/torchscript HOT 3
- Labelling Objects Occluded objects in Extreme Environment HOT 5
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 yolov5.