Instructions to use cpnlab/YOLOR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cpnlab/YOLOR with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("cpnlab/YOLOR") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -33,15 +33,15 @@ the Look Once, Beam Twice mmWave V2X beam-management pipeline
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<img src="all detection.png" alt="YOLOR — example detection of all five custom classes in one inference pass" width="90%">
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</p>
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### Source hardware and
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| Model | Source hardware / location |
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| `YOLOR-radio` | [Sivers Semiconductors](https://www.sivers-semiconductors.com/) 60 GHz mmWave Radio frontends (EVK06002) |
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| `YOLOR-5GBS` | 5G small cells + co-located lamp/utility poles, captured in Downtown [Lincoln, Nebraska](https://lincoln.ne.gov/), USA |
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| `YOLOR-comm-mmWave` | [Terragraph Sounders](https://terragraph.com/) from [Meta](https://about.meta.com/), deployed in indoor commercial spaces |
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| `YOLOR-Streetlights` | Urban streetlights on the [University of Nebraska–Lincoln](https://www.unl.edu/) campus |
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| `YOLOR` (unified) | Union of all four sources above |
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Reference implementation for the paper:
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<img src="all detection.png" alt="YOLOR — example detection of all five custom classes in one inference pass" width="90%">
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</p>
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### Source hardware and models
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| Model | Source hardware / location | Hugging Face |
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| `YOLOR-radio` | [Sivers Semiconductors](https://www.sivers-semiconductors.com/) 60 GHz mmWave Radio frontends (EVK06002) | [cpnlab/YOLOR-radio](https://huggingface.co/cpnlab/YOLOR-radio) |
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| `YOLOR-5GBS` | 5G small cells + co-located lamp/utility poles, captured in Downtown [Lincoln, Nebraska](https://lincoln.ne.gov/), USA | [cpnlab/YOLOR-5GBS](https://huggingface.co/cpnlab/YOLOR-5GBS) |
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| `YOLOR-comm-mmWave` | [Terragraph Sounders](https://terragraph.com/) from [Meta](https://about.meta.com/), deployed in indoor commercial spaces | [cpnlab/YOLOR-comm-mmWave](https://huggingface.co/cpnlab/YOLOR-comm-mmWave) |
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| `YOLOR-Streetlights` | Urban streetlights on the [University of Nebraska–Lincoln](https://www.unl.edu/) campus | [cpnlab/YOLOR-Streetlights](https://huggingface.co/cpnlab/YOLOR-Streetlights) |
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| `YOLOR` (unified) | Union of all four sources above | this card |
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Reference implementation for the paper:
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