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@@ -36,14 +36,15 @@ This is the official implementation of the paper "[DETRs Beat YOLOs on Real-time
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## Updates!!!
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---
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- \[2023.10.23\] Add [*discussion for deployments*](https://github.com/lyuwenyu/RT-DETR/issues/95), supported onnxruntime, TensorRT, openVINO
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- \[2023.10.12\] Add tuning code for pytorch version, now you can tuning rtdetr based on pretrained weights
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- \[2023.09.19\] Upload [*pytorch weights*](https://github.com/lyuwenyu/RT-DETR/issues/42) convert from paddle version
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- \[2023.08.24] Release rtdetr-18 pretrained models on objects365. *49.2 mAP* and *217 FPS*
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- \[2023.08.22\] Upload *[rtdetr_pytorch](./rtdetr_pytorch/)* source code. Please enjoy it ❤️
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- \[2023.08.15\] Release rtdetr-r101 pretrained models on objects365. *56.2 mAP* and *74 FPS*
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- \[2023.07.30\] Release rtdetr-r50 pretrained models on objects365. *55.3 mAP* and *108 FPS*
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- \[2023.07.28\] Fix some bugs, and add some comments. [1](https://github.com/lyuwenyu/RT-DETR/pull/14), [2](https://github.com/lyuwenyu/RT-DETR/commit/3b5cbcf8ae3b907e6b8bb65498a6be7c6736eabc)
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- \[2023.07.13\] Upload [training logs on coco](https://github.com/lyuwenyu/RT-DETR/issues/8)
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- \[2023.07.13\] Upload [*training logs on coco*](https://github.com/lyuwenyu/RT-DETR/issues/8)
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- \[2023.05.17\] Release RT-DETR-R18, RT-DETR-R34, RT-DETR-R50-m(example for scaled)
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- \[2023.04.17\] Release RT-DETR-R50, RT-DETR-R101, RT-DETR-L, RT-DETR-X
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