roboflow / notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
https://roboflow.com/models
5.29k stars 820 forks source link

predict next bbox #151

Closed concrete13377 closed 1 year ago

concrete13377 commented 1 year ago

Hello! Thank you for your notebook https://github.com/roboflow/notebooks/blob/main/notebooks/how-to-track-football-players.ipynb Could you please help me understand if it is possible to predict bbox with tracker if detection is missing for 1 frame? For example model detected successfully object on frames 1 2 3 4 5, but on frame 6 model failed to detect it and gave 0 detections. Can I get the estimation of bbox of this object from Bytetrack based on its internal state? What is the best way to do that without just linearly interpolating bbox coordinates?

github-actions[bot] commented 1 year ago

👋 Hello @concrete13377, thank you for leaving an issue on Roboflow Notebooks.

🐞 Bug reports

If you are filing a bug report, please be as detailed as possible. This will help us more easily diagnose and resolve the problem you are facing. To learn more about contributing, check out our Contributing Guidelines.

If you require support with custom code that is not part of Roboflow Notebooks, please reach out on the Roboflow Forum or on the GitHub Discussions page associated with this repository.

💬 Get in touch

Do you have more questions about Roboflow that we haven't responded to yet? Feel free to ask them on the Roboflow Discuss forum. Our developer advocates and community team actively respond to questions there.

To ask questions about Notebooks, head over to the GitHub Discussions section of this repository.

concrete13377 commented 1 year ago

Also, I don't understand this part in the notebook. Shouldn't you use the tracks from the tracker as the final detections? image

SkalskiP commented 1 year ago

Hi, @concrete13377 👋🏻 Let's convert that issue into a discussion first.