deploy: 0cfd255730
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@ -1048,7 +1048,7 @@ The Rust sensing server binary accepts the following flags:
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| `--dataset` | (none) | Path to dataset directory (MM-Fi or Wi-Pose) |
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| `--dataset` | (none) | Path to dataset directory (MM-Fi or Wi-Pose) |
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| `--dataset-type` | `mmfi` | Dataset format: `mmfi` or `wipose` |
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| `--dataset-type` | `mmfi` | Dataset format: `mmfi` or `wipose` |
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| `--epochs` | `100` | Training epochs |
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| `--epochs` | `100` | Training epochs |
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| `--export-rvf` | (none) | Export RVF model container and exit |
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| `--export-rvf` | (none) | Export a **placeholder** RVF container-format demo and exit — **not a trained model**. For a real model use `--train` (+ `--save-rvf`) or download a pretrained encoder. |
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| `--save-rvf` | (none) | Save model state to RVF on shutdown |
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| `--save-rvf` | (none) | Save model state to RVF on shutdown |
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| `--model` | (none) | Load a trained `.rvf` model for inference |
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| `--model` | (none) | Load a trained `.rvf` model for inference |
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| `--load-rvf` | (none) | Load model config from RVF container |
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| `--load-rvf` | (none) | Load model config from RVF container |
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@ -1359,7 +1359,7 @@ docker run --rm \
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-v $(pwd)/output:/output \
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-v $(pwd)/output:/output \
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--entrypoint /app/sensing-server \
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--entrypoint /app/sensing-server \
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ruvnet/wifi-densepose:latest \
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ruvnet/wifi-densepose:latest \
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--train --dataset /data --epochs 100 --export-rvf /output/model.rvf
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--train --dataset /data --epochs 100 --save-rvf /output/model.rvf
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```
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```
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The pipeline runs 10 phases:
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The pipeline runs 10 phases:
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