PierreMarieCurie / rf-detr-onnx
ONNX model with inference, conversion and visualization scripts for RF-DETR (object detection and instance segmentation)
Why this job: says: object detection; topics: computer-vision, object-detection, instance-segmentation, machine-learning



What it does
This repository contains code to load an ONNX version of RF-DETR and perform inference, including drawing the results on images. It demonstrates how to convert a PyTorch model to ONNX format and inference with minimal dependencies.
Get started
git clone --depth 1 https://github.com/PierreMarieCurie/rf-detr-onnx.git - Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 105
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 62% closed
- 3 still open
- Pull requests
- 2 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- computer-vision
- instance-segmentation
- machine-learning
- object-detection
- onnx
- python
- rf-detr
Project record
- JobAI libraries and models
- StatusListed
- Commits31
- Forks18
- Watching2
- Stars in 28 days+2
- CreatedMar 23, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
