Vuo has built-in support for hand tracking using the Leap Motion, but not with normal RGB (non-depth) cameras.
HandPose OSC uses TensorFlow's handpose model (not CoreML). That model uses the Apache license, so we could potentially integrate it into Vuo (though, as you noted, it currently only tracks a single hand at a time).
Apple provides VNDetectHumanHandPoseRequest (only available in macOS 11.0+). We briefly tested their sample code; it's slower than HandPose OSC, and it also only detects a single hand at a time.
So, for single-hand detection, we have 2 options, at a two-dot complexity (and Pro only).
For multiple-hand detection, we could probably train a model to segment the image into separate per-hand images and run the existing model on each of those sub-images, but that would bump it up into 3-dot complexity.
Let us know if you want single or multiple-hand detection, and we'll modify the FR accordingly and open it for voting.
Thanks for providing more information. We followed the steps shown in his screen recording (using the same nodes and the same top-level composition name and subcomposition name), but it doesn't crash for us. We think it's related to a third-party node or nodes that you have installed.
Does it help if you uninstall Parabox (and/or any other 3rd-party nodes you have installed)? Does it help if you temporarily rename your Modules folder on the Desktop? If so, can you narrow down which 3rd-party node or modules causes Vuo to crash, and send it to us so we can try to diagnose the problem?