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

Internal chipping #14

Closed
gadomski opened this issue Dec 21, 2014 · 1 comment
Closed

Internal chipping #14

gadomski opened this issue Dec 21, 2014 · 1 comment
Assignees

Comments

@gadomski
Copy link
Owner

Add logic to nonrigid(_lowrank) to break down a large dataset into roughly equally sized chips, later stitching the results of those chip runs back together. This should provide roughly equal results to running the algorithm on the whole dataset, since the nonrigid should allow bending past certain scales.

PDAL has a internal chipper that does about what we want. However, it would be nice to not add big dependency like that. We could extract the chipper for our own purposes, or use some other point-count splitting algorithm.

@gadomski gadomski added this to the v0.2 milestone Dec 21, 2014
@gadomski gadomski modified the milestones: v0.2, v0.3 Jan 23, 2015
@gadomski gadomski self-assigned this Nov 22, 2015
@gadomski
Copy link
Owner Author

gadomski commented Mar 4, 2016

Closing as invalid since the rewrite.

@gadomski gadomski closed this as completed Mar 4, 2016
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