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--- |
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license: apache-2.0 |
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pipeline_tag: object-detection |
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library_name: transformers |
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--- |
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Transformers usable lyuwenyu RT-DETRv2_101vd |
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Origin: |
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- https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetrv2_pytorch |
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Converter: |
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- https://huggingface.co/jadechoghari/RT-DETRv2/tree/main |
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- Modification on config.json -> model_type to be usable with Transformers |
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Tested and working with: |
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- Transformers with RTDetrForObjectDetection, RTDetrImageProcessor, AutoModelForObjectDetection, AutoImageProcessor |
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- supervision with SAHI and annotators (except segmentation) |
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Code example (coming soon) |
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Source: |
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@misc{lv2023detrs, |
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title={DETRs Beat YOLOs on Real-time Object Detection}, |
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author={Wenyu Lv and Shangliang Xu and Yian Zhao and Guanzhong Wang and Jinman Wei and Cheng Cui and Yuning Du and Qingqing Dang and Yi Liu}, |
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year={2023}, |
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eprint={2304.08069}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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@misc{lv2024rtdetrv2improvedbaselinebagoffreebies, |
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title={RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer}, |
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author={Wenyu Lv and Yian Zhao and Qinyao Chang and Kui Huang and Guanzhong Wang and Yi Liu}, |
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year={2024}, |
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eprint={2407.17140}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2407.17140}, |
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} |
