Principle:Roboflow Rf detr ONNX Export Dependencies
| Knowledge Sources | |
|---|---|
| Domains | Deployment, Model_Export |
| Last Updated | 2026-02-08 15:00 GMT |
Overview
The prerequisite step of installing additional Python packages required for exporting RF-DETR models to ONNX format.
Description
ONNX export requires specialized packages not included in the base RF-DETR installation. These include the ONNX framework itself, simplification tools, and optionally TensorRT for optimized inference engines. The packages are bundled as an optional dependency group in the RF-DETR package.
Usage
Run the installation command before any ONNX export operations. This is a one-time setup step per environment.
Theoretical Basis
ONNX (Open Neural Network Exchange) provides an interoperable format for representing deep learning models across frameworks. The export process requires:
- onnx: Core format and model validation
- onnxsim: Graph simplification and constant folding
- onnxruntime: Inference validation and deployment
- onnx_graphsurgeon: Graph optimization passes
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