OpenHMD VS OpenCV

I modified the AUR package for openhmd to build your repo/branch instead. git+https://github.com/thaytan/OpenHMD.git#branch=rift-kalman-filter But the tracking is just as jittery as before and it's still just 3DOF. Is there any special compiler flags or something that need to be activated for 6DOF to work, or is it more likely that I just installed it wrong somehow?

Yes. Was developed by the same guy, in fact: https://github.com/thaytan/OpenHMD/tree/rift-kalman-filter

if they wanna stay with Oculus, they could give the CV1 a try, assuming they know how to setup the drivers for it to work on Linux. Thaytan on github has been working on and improving 6DOF tracking for the CV1 for a while now but is needing help with the tracking part of it to fix a few kinks. You can easily okay Beat Saber with it no problem. Should give it a look if you are interested. Thaytan has some youtube videos as well of some gameplay with it. The branch on github you would want to use is the rift-correspondence-search one. https://github.com/thaytan/OpenHMD/tree/rift-correspondence-search

Oculus Rift DK2/CV1: Try my positional tracking branches of OpenHMD (https://github.com/thaytan/OpenHMD/tree/rift-kalman-filter and https://noraisin.net/diary/?page_id=1048)

Slightly out of date tutorial: https://noraisin.net/diary/?page_id=1048 Github repo for the experimental support: https://github.com/thaytan/OpenHMD

I re-measured distortion parameters on my CV1 last month (https://github.com/thaytan/OpenHMD/commit/46d164a9) and they made things much clearer for me... maybe those parameters aren't right for your headset? Unfortunately it's a really hard thing to get a photo of for me to tell what you're seeing on your end.

OpenHMD Rift Kalman Filter: https://github.com/thaytan/OpenHMD/tree/rift-kalman-filter

https://github.com/ChristophHaag/SteamVR-OpenHMD with https://github.com/thaytan/OpenHMD/tree/rift-kalman-filter would work for now getting the CV1 working positionally tracked on Linux (currently in branch, still experimental but usable!) There are step by step install instructions on https://noraisin.net/diary/?p=1033

Referenceshttps https://www.kaggle.com/datasets/riyaelizashaju/skin-disease-image-dataset-balanced?fbclid=IwAR3wbTp8l5yo_5fx6HAX8Vd2-9cca3khAc8EiBGFObaALfdVid29IuB_rYE https://keras.io/api/applications/vgg/ https://www.tensorflow.org/tutorials/images/cnn?hl=th https://opencv.org/

Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)

You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/).

The OpenCV4NodeJs A.I. library provides an interface for calling OpenCV routines in NodeJS.