We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
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 text was updated successfully, but these errors were encountered:
The feature p16 here might be a good choice
p16
Tracking-Anything-with-DEVA/deva/model/big_modules.py
Line 185 in b4387fe
Sorry, something went wrong.
No branches or pull requests
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 text was updated successfully, but these errors were encountered: