Add "Export to executorch" to Ultralytics HUB #19342
Replies: 2 comments
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👋 Hello @agoransson, thank you for your suggestion and for being part of the Ultralytics community 🚀! We love hearing feedback and ideas to improve the experience for our users. If this feature request relates to any current limitations or specific use cases, feel free to provide additional details to help guide the team. The PyTorch Export-to-Executorch Tutorial you referenced is a great start, and we appreciate you pointing this out! For now, we recommend ensuring you're running the latest pip install -U ultralytics Additionally, if you're already experimenting with custom export options, we'd love to hear about your findings or challenges. The Ultralytics HUB is still evolving, and any insights you can share will be invaluable 😊. If you’re looking for more resources:
Rest assured, this is an automated response 🤖, but our engineering team will review your request and provide further input soon. Thank you for contributing to making Ultralytics even better! 🚀 |
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You can export YOLO models to various formats, including TorchScript, which might serve as a starting point for your Executorch needs, and you can explore other export options like ONNX or TensorFlow Lite as described in the Ultralytics documentation on Export mode. |
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Hello, it would be very good to be able to easily export to executorch from the Ultralytics HUB.
https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html
Thanks.
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