trained pose-estimation weights
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- Dominant language
- Rust
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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:
- Do you have any usable trained pose-estimation weights (.onnx/.rvf/.safetensors)?
- If not, could you share training hyperparameters / checkpoint config?
- Any MM-Fi acquisition/preprocessing scripts you can point me to?
- 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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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- 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.
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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