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

serialise in_volume for CatmaidNeuronLists #33

Closed
schlegelp opened this issue May 3, 2018 · 1 comment
Closed

serialise in_volume for CatmaidNeuronLists #33

schlegelp opened this issue May 3, 2018 · 1 comment

Comments

@schlegelp
Copy link
Collaborator

Currently, neurons are processed sequentially. Querying intersection for all points at once might could potentially speed up the whole process.

@schlegelp
Copy link
Collaborator Author

Testing showed that intersection using pyoctree's rayIntersection() does scale linearly and bringing the data into the right format does not generate much overhead. As result, querying all points at once does not speed up intersection calculations.

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

1 participant