Closed GuanghaoJin closed 3 months ago
Hi, I'm pretty new to pytorch, i have been using TF and keras until now, but this model's results are very promising!
My question is: how can I get this 256 or 512 size feature vector for each detected object from the model without rewiting the whole model class.
Maybe something in class MaskDecoder?
Thanks in advance
The feature p16 here might be a good choice https://github.com/hkchengrex/Tracking-Anything-with-DEVA/blob/b4387fe31519305fc35d209d022c82a687c6b4bd/deva/model/big_modules.py#L185
p16
Hi, I'm pretty new to pytorch, i have been using TF and keras until now, but this model's results are very promising!
My question is: how can I get this 256 or 512 size feature vector for each detected object from the model without rewiting the whole model class.
Maybe something in class MaskDecoder?
Thanks in advance