Skip to content
New issue

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

Learning menu disabled #479

Open
Gabriel-Bercaru opened this issue Feb 10, 2022 · 2 comments
Open

Learning menu disabled #479

Gabriel-Bercaru opened this issue Feb 10, 2022 · 2 comments

Comments

@Gabriel-Bercaru
Copy link

Hello, I cloned this repository and launched nova.exe. I've imported a video and manually annotated a small part of it (at the beginning) with different discrete label (5 predefined labels used).

The goal is to use CML to automatically produce an annotation for the rest of the video, however the LEARNING menu appears gray and I cannot expand, in order to choose Complete Current Annotation (as described in the docs: https://rawgit.com/hcmlab/nova/master/docs/index.html#annotation-completion).

Can you please give some pointers on what might go wrong? Thank you!

@tobiasbaur
Copy link
Member

Hello, in order to run the CML step you need to run NOVA in database mode (https://rawgit.com/hcmlab/nova/master/docs/index.html#database)

Best, Tobias

@Gabriel-Bercaru
Copy link
Author

Hi
Thanks for the previous answer, I have been able to perform the database setup and enabled the CML menu.
I could automatically annotate an .mp4 file using the emovoice chain available under bin/cml/chains/video.
However I would also like to extract features from the video frames and use them with a neural classifier (such as VGG or RESNET-50) for emotion classification from video.

Is this possible? If so, are there any sample chain files which implement the usage of a neural classifier? An example of a trainer template file would also be helpful (I've seen that the documentation lacks this section - https://rawgit.com/hcmlab/nova/master/docs/index.html#cl-trainer-templates).
Thank you!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants