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

Feature Extraction #12

Closed
Camillo4eyes opened this issue Oct 3, 2022 · 3 comments
Closed

Feature Extraction #12

Camillo4eyes opened this issue Oct 3, 2022 · 3 comments

Comments

@Camillo4eyes
Copy link

Hi, can you provide more informations about the feature extraction? I would like to use this fantastic model on my dataset but I don't know how to extract the features to feed to the encoder.

@ChinaYi
Copy link
Owner

ChinaYi commented Oct 6, 2022

We used the pretrained I3D model on Kinetics. Then we used a window of size 21 around each frame, i.e. [t-10, t+10] to extract frame-wise features. For more details about the features please check this repo https://github.com/ahsaniqbal/Kinetics-FeatureExtractor

@Camillo4eyes
Copy link
Author

So, considering a stack size (or window size) of 21, the extracted features will have size (n_frames / 21) x 1024, right? (which then, by concatenating the stram RGB and flow will become (n_frames / 64) * 2048). Didn't you use any step between one window and another? Sorry for the many questions, but I'm really curious and I really want to use this model!

@Camillo4eyes Camillo4eyes reopened this Nov 9, 2022
@ChinaYi
Copy link
Owner

ChinaYi commented Nov 17, 2022

Sorry for my late response :) really got some busy days. We do not use any step between windows since we have to collect features per-frame with full fps rate.

@ChinaYi ChinaYi closed this as completed Dec 10, 2022
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