Very cool project. This request may be similar to issue 10. Is there a way to print the Dense alignment images (yellow + blue=green) shown in the readme? Is Matlab (not free) required?

"Simply use:
imshow(image);
hold on;
pcshow(vertices);
view(2);"

Also (btw), I have seen haar cascades combined with dlib for facial detection speedups:

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Expose raytracing render-path in Armory and document implementation details.

In las file format, vlrs info is crucial to correctly describe point's spatial location.
However, if you try to use pyntcloud.las_header.vlrs, you wouldn't get anything, the value is alway none.

Through your source code, I can see you try to use
data["las_header"] = las.header
But it can not pass vlrs or evlrs info into new object, because in laspy, vlrs info is dynamically obtained afterw

I’m realizing that not all of the API is covered in the documentation. Is there a way we can run sphinx and report the coverage for what is autodoc’d in the docs?

It would be ideal to have this at 100%

Hi, I attached a picture of what I see when I run k3d.plot().display() in a couple of test cases.

It's bla

1. Create 'Cube', 'Cube.001', 'Cube.002'. Create collection 'Collection 1'.
2. Move 'Cube.002' into 'Collection 1'.
3. Exclude 'Collection 1' by clicking the check box on its left.
4. Goto 'Quick Align Planes' Grab Destination of 'Cube'.
5. Select 'Cube.001' select three points and hit 'Apply to Object' button.
6. Get error message "Object Cube.002 not in View layer 'View layer'".

during CI on my hiwenet, I discovered a ton of deprecation warnings from scipy : https://travis-ci.org/github/raamana/hiwenet/jobs/658810855

mostly asking medpy to move from scipy to numpy for functions such as sum, absolute, sqrt, square etc .. see below for a sample, and the above link for a full list.. If you can, can you try fix them? thanks.

  /hom

This code was originated from before I wrote PEP-8 styled code.
Much of it uses weird layouts.
We should update the syntax.

Also note, some syntax should deviate from PEP-8 for readability, ie the large matrix operations should remain laid out in a readable manner.