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

Dejavu tuning #37

Closed
denis-stepanov opened this issue Sep 2, 2022 · 1 comment · Fixed by #38
Closed

Dejavu tuning #37

denis-stepanov opened this issue Sep 2, 2022 · 1 comment · Fixed by #38
Assignees
Labels
enhancement New feature or request
Milestone

Comments

@denis-stepanov
Copy link
Owner

So far AdVent used default Dejavu setup. Dejavu has a number of parameters which could be tuned; this could probably improve recognition. One potential path to explore is increasing fingerprinting density, because we have very short tracks to process.

@denis-stepanov denis-stepanov added the enhancement New feature or request label Sep 2, 2022
@denis-stepanov denis-stepanov added this to the 1.4.0 milestone Sep 2, 2022
@denis-stepanov denis-stepanov self-assigned this Sep 2, 2022
@denis-stepanov denis-stepanov linked a pull request Sep 10, 2022 that will close this issue
@denis-stepanov
Copy link
Owner Author

Results documented in README.md. New patch version of Dejavu 1.3.0 was released. AdVent-DB database had to be regenerated because of these changes; hopefully, for good.

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

Successfully merging a pull request may close this issue.

1 participant