yolov5 TFlite model in Android studio

[ily-R]

Search before asking

• I have searched the YOLOv5 issues and discussions and found no similar questions.

Question

Hello,

was anyone able to convert the trained yolov5 model and use it in Android studio without any metadata issues ?

I am still having issues related to this #5784

Thank you

Additional

No response

[github-actions]

👋 Hello @ily-R, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email [email protected].

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
• Tutorials – https://docs.ultralytics.com/yolov5
• Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

• Ultralytics HUB – https://ultralytics.com/hub
• Vision API – https://ultralytics.com/yolov5
• About Us – https://ultralytics.com/about
• Join Our Team – https://ultralytics.com/work
• Contact Us – https://ultralytics.com/contact

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 YOLOv5 🚀 and Vision AI ⭐!

[glenn-jocher]

@ily-R hi there,

We appreciate your interest in using YOLOv5 for Android development. The issue you've linked regarding metadata compatibility within the TFLite model has been noted, and the team is actively working on resolving it.

Thank you for your patience and understanding as we continue to improve the YOLOv5 experience for all users.

Best regards

[DifferentLee]

@ily-R hi there,

We appreciate your interest in using YOLOv5 for Android development. The issue you've linked regarding metadata compatibility within the TFLite model has been noted, and the team is actively working on resolving it.

Thank you for your patience and understanding as we continue to improve the YOLOv5 experience for all users.

Best regards

@glenn-jocher Hi there. Is there a solution now for the issue you've linked regarding metadata compatibility within the TFLite model for Android Studio?

[glenn-jocher]

Hi @DifferentLee,

As of now, there hasn't been an official update resolving the metadata compatibility issue with the TFLite model in Android Studio. We recommend keeping an eye on the repository for any updates or fixes that may address this issue.

Thank you for your continued patience! 😊

Best regards.