@Javier-Martínez-Martínez That release is a little old now so I forget exactly what the correct command to show camera options is but if you try voxl-configure-cameras -h does it list out the config ID options?

@tom said in Voxl-camera-server crashing in rb5:

camera flex for your tracking camera
Hi Tom,

What would be the best approach to debug this camera flex?

Thank you,
Best Regards
Dominik

Hi @benjamin-linne
Generally, our pinouts are listed on our docs pages, not industry forums, unless an actual physical connector standard is used.
However, in this case, we did mimic our JSTs to follow the USB pin ordering, so that is correct.
However, for general purpose pinouts, always refer to our tech docs:
https://docs.modalai.com/5G-Modem-datasheet/

That being said, it seems like a classic intermittent cable issue. What kind of cable are you using?

@Jetson-Nano Code is here: https://gitlab.com/voxl-public/voxl-sdk/services/voxl-portal

@tom Installing the VOXL1 SDK now... Thanks!

The drone has had it's crashes yes. Visibly carbon fiber is okay but there's flex especially on the arm connected to motor 4. Used CA glue to hopefully stiffen the carbon fiber for now

@Moderator Ah ok. these are working!

just for everybody else's edification
instead of just typing "hires" you need to type one of the following listed with
voxl-list-pipes

voxl2:/$ voxl-list-pipes
hires_color
hires_grey
hires_large_color
hires_large_encoded
hires_large_grey
hires_small_color
hires_small_encoded
hires_small_grey
tflite
tflite_data

@ejohnson01 Can you try bringing this commit into your build and see if it resolves the issue: https://github.com/modalai/px4-firmware/commit/f945d29064b4ab26617a3fb15fc770f5dcb993e9

@david-devassy

Hey David,

We do support deep learning inference on VOXL2! You can check out this page on our docs to read more about our deep learning capabilities. Out of the box our YoloV5 model gets around 30 frames per second. You also mention object avoidance and SLAM using path prediction. We have our own implementation of Visual Object Avoidance (VOA) which you can read about here.

You could certainly create custom implementations of both of these on VOXL! However I want to highlight that our code for both of the above is C/C++ and not in Python for speed reasons. I can't give you a reasonable estimate about Python performance but it would likely be slower.

Hope this helps! Let me know if you have any other questions.

Thomas Patton
thomas.patton@modalai.com

@ErezI

After following that thread let me know what questions you have, I'm happy to help!!

Thomas Patton

@tom we are in a situation where we have 2 identical boards. one board has a working flight control board and the other has a working VOXL. is there any way we can use them together for the time being?

@Ariel-Saez Can you describe your hardware setup a bit more? Are you using voxl1 or voxl2? Are you using the Sierra 4G LTE add-on board?