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HorizonRobotics / Sparse4D

MIT License
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Deploying sparse4d to Edge Devices #80

Open AWDawson opened 3 months ago

AWDawson commented 3 months ago

Hi,

I am in the process of deploying sparse4d to edge devices and have a few questions regarding the key considerations to keep in mind during this process.

ONNX Conversion: What are the best practices or specific steps needed to convert sparse4d models to ONNX format? Are there any known issues or common pitfalls that I should be aware of during this conversion?

Deployment vs. Training - Timestamp Diff: I have noticed differences in timestamp diffs during deployment and training, e.g. 0.5s in training and 0.1s in inference. Can you provide insights on how to handle them effectively? Are there any specific configurations or adjustments that need to be made to ensure consistent performance across real-time inference and training?

Any guidance or recommendations would be greatly appreciated. Thank you!

ThomasVonWu commented 1 week ago

This repository may be useful for your deployment:https://github.com/ThomasVonWu/SparseEnd2End