Hey @JPlou
thanks for your quick and insightful response.
If you’re talking about the skeleton of one person stuttering between seemingly the skeletons from two cameras offset by 10-20cm, it should improve this because there will be less discrepancy between the skeletons of 1 same subject from several cameras.
Yes this is what I mean. and its good to hear that it will improve.
Can I ask how many people should be tracked in this area at once? Depending on this, you may want to add more cameras to reduce the occlusions, or the opposite, have less cameras if one person only is to be tracked (not reduce much, because your area is huge, but still).
We only need to track one person for this setup.
Thank you for the other advise and I’ll look out for the next release version.
Edit:
Moving forward to running on the edge. I am getting this error when trying to start the “Edge body tracking” through the ZED hub ( Which btw. is an awesome tool)
Log:
[Info] [2023/12/Fr 08:10:27 pm] Waiting for device to start the operation...
[Info] [2023/12/Fr 08:10:33 pm] Downloading application Edge Body Tracking 0.1.8...
[Info] [2023/12/Fr 08:10:33 pm] Deploy Edge Body Tracking 0.1.8.
[Info] [2023/12/Fr 08:10:34 pm] Application Edge Body Tracking 0.1.8 downloaded successfully.
[Error] [2023/12/Fr 08:10:34 pm] Cannot deploy application. L4T R35.4 is not supported by the application.
Host details:
Host
Product
desktop
Operating System
Ubuntu 20.04.6 LTS
Kernel version
5.10.120-tegra
L4T release
L4T R35.4.1
CPU model
ARMv8 Processor rev 1 (v8l) (aarch64)
GPU model
OrinAmpere
CPU memory
6 GB
GPU memory
6 GB
NVP model
15W
System Clock
I am happy to post these questions in a new thread, if you prefer.