lidar | Python package for delineating nested surface depressions | Map library

I develop a Python two scripts to transfer lot of data (~120Go) on my vm, with Paramiko. My vm is on OVH server. First script transfert ~ 40Go, and the second script ~ 80Go.

Stack :

Python 3.9.1

Paramiko 2.7.2

SCP 0.13.3

On my both scripts, I use this function to setup SSH connection.

I'm trying to list files (.laz files) on an HTTPS server, then download them. I receive the warning message: "XML content does not seem to be XML:" when I try to obtain a list of .laz files.

Here is my code:

I have a XV-11 Lidar sensor from an old vacuum cleaner and I want to use it for a robot project. During my research, I saw a very interesting and simple approach using Matplotlib and display all the distances using scatter points. eg (https://udayankumar.com/2018/08/01/working-with-lidar/) but when I run this python code to RP3 indeed a Matplotlib window is popping up with all the distances but the refresh rate for data it's too slow and impossible to view in real time. I mean the matplotlib display is falling behind a few dozens of seconds with all the sensor readings. My next idea was to do something by myself with the following display lines but I have same result: Good readings but delayed a lot.

I'm using QLPreviewController to show AR content. With the newer iPhones with LIDAR it seems that object occlusion is enabled by default.

Is there any way to disable object occlusion in the QLVideoController without having to build a custom ARKit view controller? Since my models are quite large (life-size buildings), they seem to disappear or get cut off at the end.

I am trying to split by date and event columns. It is impossible to search for ". " some lines contain multiple sentences ending with ". " Also, some lines don't start with dates. The idea of ​​the script was to use a regexp to find lines starting with the fragment "one or two numbers, space, letters, period, space" and then replace "point, space" with a rare character, for example, "@". If the line does not start with this fragment, then add "@" to the beginning. Then this array can be easily divided into two parts by this symbol ("@") and written to the sheet.

Unfortunately, something went wrong today. I came across the fact that match(re) is always null. I ask for help in composing the correct regular expression and solving the problem.

Original text:

1 June. Astronomers report narrowing down the source of Fast Radio Bursts (FRBs). It may now plausibly include "compact-object mergers and magnetars arising from normal core collapse supernovae".[3][4]

The existence of quark cores in neutron stars is confirmed by Finnish researchers.[5][6][7]

3 June. Researchers show that compared to rural populations urban red foxes (pictured) in London are mirroring patterns of domestication similar to domesticated dogs, as they adapt to their city environment.[21]

The discovery of the oldest and largest structure in the Maya region, a 3,000-year-old pyramid-topped platform Aguada Fénix, with LiDAR technology is reported.

17 June. Physicists at the XENON dark matter research facility report an excess of 53 events, which may hint at the existence of hypothetical Solar axions.

Desired result:

Code:

I want to align the feature map using ego motion, as mentioned in the paper An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

I use VoxelNet as backbone, which will shrink the image for 8 times. The size of my voxel is 0.1m x 0.1m x 0.2m(height)

So given an input bird-eye-view image size of 1408 x 1024,

the extracted feature map size would be 176 x 128, shrunk for 8 times.

The ego translation of the car between the "images"(point clouds actually) is 1 meter in both x and y direction. Am I right to adjust the feature map for 1.25 pixels?

I've created a Oriented Bounding Box from a clustered sub point cloud of a Velodyne Lidar (rotating laser sensor). I want to get the orientation of the Bounding Box (preferable as a quaternion).

I'm using two separate iOS libraries that make use of the device's camera.

The first one, is a library used to capture regular photos using the camera. The second one, is a library that uses ARKit to measure the world.

Somehow, after using the ARKit code, the regular camera quality (with the exact same settings and initialization code) renders a much lower quality (a lot of noise in the image, looks like post-processing is missing) preview and captured image. A full app restart is required to return the camera to its original quality.

I know this may be vague, but here's the code for each library (more or less). Any ideas what could be missing? Why would ARKit permanently change the camera's settings? I could easily fix it if I knew which setting is getting lost/changed after ARKit is used.

Code sample for iOS image capture (removed error checking and boilerplate):

I have two Python scripts with nearly identical code. One of them is working, the other fails with the error message