Hi Simon et al

I've done a few projects with pose/hand/face tracking running (on mobile), then communicating via OSC messages with a Pd process (in one case on mobile device, in other case over local network to a laptop). For these I've used MediaPipe, this is the pose detection 'solution': 
https://ai.google.dev/edge/mediapipe/solutions/vision/pose_landmarker 
which has a python example app (I've only used the mobile example apps, which actually built and ran on the first try...I can't always say the same for python environments)

It's open source (https://github.com/google-ai-edge/mediapipe); given the temperament of this list, everyone is free to criticize its provenance.

Note that the implementation (e.g. the raw graphs and models, etc) are openly available as difficult-to-build targets (using the Bazel build system), or wrapped into prebuilt libraries (via existing dependency managers); it's not an ideal open-source setup (which to me entails easy use/modification of lower levels on canonical build systems). But it should certainly be hackable enough for your purposes.


On Wed, Aug 28, 2024 at 12:14 PM Simon Iten <itensimon@gmail.com> wrote:
Hi list,

Maybe someone here has practical experience with the following:

I am trying to track movement (mostly humans walking around in a room), from a camera that hangs from the ceiling.

My idea is to track each person in the room as a x-y data-point (room length-room width) and use that data to influence sound or video in PD.

Is something like this feasible? I am open to solutions for linux or macOS. The motion tracking can also be an external program that communicates with PD via OSC or similar.

I would like to use open source software if possible.

Thanks for any insights, real world examples etc.

Best,

Simon




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