Comments (3)
Hello! To display OKS (Object Keypoint Similarity) scores during validation with YOLOv8, you'll need to ensure that your model is configured for pose estimation tasks and that the validation dataset includes keypoint annotations.
If you're using a pose estimation model like YOLOv8n-pose, you can activate OKS scoring by setting the appropriate flag in your validation command. For example:
yolo val model=yolov8n-pose.pt --pose
Make sure your dataset configuration (data.yaml
) includes paths to the keypoint annotations and that the annotations are in the correct format expected by the model.
If you encounter any issues or need further customization, please refer to the pose estimation section in the documentation or reach out again. Happy modeling! 🚀
from ultralytics.
Hello! To display OKS (Object Keypoint Similarity) scores during validation with YOLOv8, you'll need to ensure that your model is configured for pose estimation tasks and that the validation dataset includes keypoint annotations.
If you're using a pose estimation model like YOLOv8n-pose, you can activate OKS scoring by setting the appropriate flag in your validation command. For example:
yolo val model=yolov8n-pose.pt --poseMake sure your dataset configuration (
data.yaml
) includes paths to the keypoint annotations and that the annotations are in the correct format expected by the model.If you encounter any issues or need further customization, please refer to the pose estimation section in the documentation or reach out again. Happy modeling! 🚀
Executing yolo val model=yolov8n-pose.pt --pose
did not get the answer
from ultralytics.
Hello! Thank you for the update and the screenshot. It seems there might be a specific issue with the configuration or the command syntax.
Please ensure that your data.yaml
is correctly set up with the paths to the keypoint annotations and that these annotations are formatted correctly. Also, verify that the model you are using is indeed configured for pose estimation.
If the issue persists, it could be helpful to check the logs for any error messages that might give more insight into what might be going wrong. If you're still stuck, could you please provide the content of your data.yaml
and any error messages you see in the logs? This will help us diagnose the problem more effectively.
Looking forward to your response!
from ultralytics.
Related Issues (20)
- val step slow down during training HOT 3
- Batch inference speed same than looping through a bunch of imgs HOT 1
- Using YOLOv8(seg) with SHAP HOT 5
- yolov8 object_counting in and out doesn't differentiate for defined line HOT 4
- how to set `verbose:false` so that model can predict the batches without printing anything in the terminal HOT 1
- Questions about incremental training HOT 3
- How can I use the segmentation models of previous versions? HOT 3
- yolov8-obb plot train labels maybe error HOT 2
- Error Code 2: Internal Error (Assertion cublasStatus == CUBLAS_STATUS_SUCCESS failed. ) HOT 4
- Yolov10 Can't get attribute 'SCDown' on <module 'ultralytics.nn.modules.block' from 'C:\\Users\\ZHANG\\miniconda3\\lib\\site-packages\\ultralytics\\nn\\modules\\block.py'> HOT 20
- yolov8 -- After the cache is turned on, the memory occupied by reading val data is too large HOT 5
- YOLOv10 Performance Issue: Version 3.12 Fast, But 3.11 and Below Very Slow HOT 8
- yolo8 onnx in opencv HOT 2
- Is OBB available for yolov9 and v10 ? HOT 1
- Clamping in bbox2dist HOT 1
- Question about code of position embedding in rt-detr HOT 5
- 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 2
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.