Hi MoveNet developers,
I’ve been following MoveNet for a while I love how you guys are creating really useful and performant model to be used in mobile applications. I have a use case where I would like to fine-tune/modify the model. (e.g. modify number of key point, provide more targeted training from custom dataset)
Is there any plan to open source/enable fine tuning on MoveNet models? I’m relatively new to ML field (coming from SW) and looking at TFHub suggests that it’s not fine-tunable. (I did try to import/inspect the model on TF and yeah it looked pretty blackbox) I searched around open source implementation and there’s one written in PyTorch,
I’ve no idea how accurate this implementation is, but I guess I have few options.
- Use PyTorch implementation as baseline
- Port this implementation/build in TF
- Ask original devs for generosity
Let me know what you guys have planned, and any suggestions!