SenseCraft ONNX-to-RKNN Conversion
reCamera Pro includes an integrated entry point to SenseCraft, a cloud-based platform that converts ONNX models to RKNN format. This lets you deploy custom models without installing RKNN-Toolkit2 locally.
Access SenseCraft
- In the Web UI, go to AI Inference.
- Click View SenseCraft Models.
Conversion workflow
- Click View SenseCraft Models to open the conversion interface.
- Select the ONNX model file to convert.
- Optionally upload a quantization dataset. If none is provided, the system uses a default dataset.
- Click Start Conversion.
- After conversion completes, the generated RKNN model can be deployed to reCamera Pro.
When to use SenseCraft vs RKNN-Toolkit2
| Factor | SenseCraft | RKNN-Toolkit2 |
|---|---|---|
| Setup | None (cloud) | Local Python environment |
| Quantization control | Basic (default or custom dataset) | Full (INT8/FP16, custom calibration, layer-level control) |
| Speed | Upload + wait | Local conversion |
| Best for | Quick deployment | Production optimization |
For full quantization control, see RKNN-Toolkit2 Conversion.
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