Loïc Messal

Hi there, If you want an active development serverless project, you can use the openFaaS one (https://github.com/alexellis/faas) as an alternative to ironFunction. FaaS is working on multi cloud (public and...

@rkononov of course ironWorker is working well for async processing, as the process is queued and de-queued when an ironWorker is available and the function is also deferred. But it's...

@dylanz Thanks for the informations. Great blog article ! Keep working hard. I won't be surprised of the ironFunctions' success for Machine Learning community. ;)

Was wondering if the [downcast propagation](https://github.com/daavoo/pyntcloud/pull/323/commits/0ea784e6e90a534d02af5c8837fa8e587b044776) should be done on a copy of the points dataframe instead of the points dataframe itself. If true, we should add `points = points.copy()`...

I tested py3dtiles_batcher from scratch today after many months without using it, and succeed to process my own las file. I had to [update the py3dtiles/docker_support branch](https://github.com/Tofull/py3dtiles/commit/f2fea7dafa9cd7029bdf5318748a7e642f61c843) to pin an...

If you install the package with [the following instructions](https://github.com/Tofull/py3dtiles_batcher#installation) : ```sh $ git clone https://github.com/Tofull/py3dtiles_batcher $ cd py3dtiles_batcher $ pip install . ``` then you should get the `py3dtiles_batcher.exe` available...

Could you please share with us the problematic pointcloud? This can happen if some points are alone in your search_radius of `0.1`. In this case, the `query_ball_point` function will return...

Let's try with a larger radius and give us your feedback. I am curious about your work.