Comments (5)
hollance
commented on June 11, 2024
Nice, I didn't know they had released this.
You will have to look at the two tflite files for the front and back model (using Netron, for example) to figure out where the differences are, and then change the PyTorch code.
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ttducqt
commented on June 11, 2024
Will you convert that model soon ? I can't wait it !!! >.<
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hollance
commented on June 11, 2024
I have no plans to do this any time soon. I'm happy to take pull requests, though. ;-)
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ocastan
commented on June 11, 2024
Created the pull request you suggested. It was pretty straightforward thanks to your work (the back model is based on BlazeBlock) and your directions #12
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hollance
commented on June 11, 2024
Awesome, I've merged it into the repo.
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Related Issues (15)
- would u implement training procedure of this model? HOT 1
- Getting error - 'BlazeFace' object has no attribute 'load_weights' HOT 2
- Any thoughts about making a port to PyTorch Mobile? HOT 2
- the front and back has the same anchors? HOT 1
- How to use blazeface.pth?
- infinite loop in _weighted_non_max_suppression HOT 1
- Depth/xyz coordinates
- Intersection max_xy calculation correct? HOT 1
- Inference.ipynb Doesn't load HOT 1
- If three ara any pytorch problem?
- bit exact? HOT 1
- Max vs Min issue HOT 2
- how to use regressor
- testing code? HOT 2
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