ruvnet / ruvnet/RuView

trained pose-estimation weights

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Description

Hi rUv,

I'm building an elderly-care monitoring product on top of your WiFi-DensePose (RuView) project — fall detection, breathing, inactivity alerts, using 3× ESP32 + 2.4GHz, camera-free.

I've already: forked & synced to latest (a76adc3c), passed all 4375 tests locally, ran the simulated sensing-server, and studied the training pipeline (MM-Fi + tch-backend).

Request:

  1. Do you have any usable trained pose-estimation weights (.onnx/.rvf/.safetensors)?
  2. If not, could you share training hyperparameters / checkpoint config?
  3. Any MM-Fi acquisition/preprocessing scripts you can point me to?
  4. Does the Cognitum commercial version offer trained models/data, and at what price?

I'll respect the MIT/Apache-2.0 license, and I'm happy to give back (feedback, test data, code contributions). Happy to share my use case if useful to your product direction.

Thanks for the great open-source work!

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  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
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Research direction

Start with the training pipeline and tch-backend references mentioned in the issue, along with the simulated sensing-server context. Done means documenting whether trained weights, hyperparameters, checkpoint configuration, and MM-Fi acquisition or preprocessing scripts are available, plus an answer about the commercial offering.

Written by the indexing model from the issue text.

Assessment

Tech stack
rust
Domain
embedded-iot, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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