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

Improve computational speed for multi person estimation #34

Closed
Tobias-Fischer opened this issue Sep 18, 2019 · 2 comments · Fixed by #39
Closed

Improve computational speed for multi person estimation #34

Tobias-Fischer opened this issue Sep 18, 2019 · 2 comments · Fixed by #39

Comments

@Tobias-Fischer
Copy link
Owner

At the moment the frame rate drops considerably when more than 3 people or so are in the scene. Let's find out where the bottleneck is and improve the speed.

@Tobias-Fischer
Copy link
Owner Author

@ngageorange and I have been working on this - the https://github.com/Tobias-Fischer/rt_gene/tree/modularised branch uses https://github.com/cleardusk/3DDFA for landmark extraction which was the main bottleneck. The overall pipeline is much faster now.

There is still room for improvement by passing batches of images to the gaze estimator, rather than doing the inference one-by-one.

@ahmed-alhindawi
Copy link
Collaborator

batching can now be found in the modularised branch. Multiperson setup works nicely there too.

@Tobias-Fischer Tobias-Fischer mentioned this issue Oct 8, 2019
5 tasks
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

Successfully merging a pull request may close this issue.

2 participants