Need post-processing steps for the tensorflowlite model

[MarcoHuixxx]

Search before asking

• I have searched the HUB issues and found no similar feature requests.

Description

Refer to #556 , I get the float32 output but I cannot find the post-process steps for the output in the Ultralytics docs.

Use case

No response

Additional

No response

[UltralyticsAssistant]

@MarcoHuixxx hello! Thank you for reaching out with your question. 😊

For post-processing steps after obtaining the float32 output from your TensorFlow Lite model, you'll typically need to apply certain operations such as non-maximum suppression (NMS) to filter out overlapping detections and thresholding to remove low-confidence predictions.

While we don't provide explicit code examples, you can find general guidance on post-processing in our documentation. Please visit the Ultralytics HUB Docs and look for sections related to model inference and output interpretation. These sections should give you an overview of the typical post-processing workflow.

If you need further clarification or assistance, feel free to ask. The YOLO community and the Ultralytics team are always here to help!

[github-actions]

👋 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 ⭐