Comments (3)
Thanks! It makes sense...
Please, feel free of opening a pull-request with those exact changes, so you can be sure that they are included exactly as you have tested them (and to keep you as a contributor for the records!).
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Awesome. Thanks will do
On Sep 26, 2016 3:10 PM, "Jose Luis Blanco-Claraco" <
[email protected]> wrote:
Thanks! It makes sense...
Please, feel free of opening a pull-request with those exact changes, so
you can be sure that they are included exactly as you have tested them (and
to keep you as a contributor for the records!).—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
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I've applied the changes and issued a pull request. The pull request status says: "Failure: The Travis CI build failed". Do these changes conflict with some other part of the code?
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Related Issues (20)
- Radius search for dynamic adaptor HOT 1
- Request for Support with Copy and Move Semantics for KDTree in nanoflann Library HOT 1
- Support KNN search within radius HOT 2
- Performance issues with RKNNResultSet HOT 2
- What't the the meaning of function accum_dist?
- the Strange code in middleSplit_()
- In debug mode, knnsearch will trigger _CONTAINER_DEBUG_LEVEL HOT 5
- What is correct implementation in order to query farthest(not closest) point?
- Version wasn't bumped since 1.5.1 HOT 1
- vcpkg
- KDTreeEigenMatrixAdaptor Build Index Issue after the Update 1.5.0 HOT 1
- How to add new distance metrics?
- When the number of point clouds is more than 400K,why does my code slow down?
- parallel query ? HOT 4
- Ordered indices returned from radius searches?
- rknnSearch input arg radius or radius squared?
- E: Unable to locate package libnanoflann-dev HOT 1
- Fastest Way to radiusSearch a Vector of Query Points
- use node index access instead of pointers
- findNeighbors does not sort results HOT 1
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