未验证 提交 0da41eac 编写于 作者: W Wenyu 提交者: GitHub

update readme (#8099)

上级 71eb3568
......@@ -14,10 +14,10 @@ We propose a **R**eal-**T**ime **DE**tection **TR**ansformer (RT-DETR), the firs
| Model | Epoch | backbone | input shape | $AP^{val}$ | $AP^{val}_{50}$| Params(M) | FLOPs(G) | T4 TensorRT FP16(FPS) | Pretrained Model | config |
|:--------------:|:-----:|:----------:| :-------:|:--------------------------:|:---------------------------:|:---------:|:--------:| :---------------------: |:------------------------------------------------------------------------------------:|:-------------------------------------------:|
| RT-DETR-R50 | 80 | ResNet-50 | 640 | 53.1 | 71.3 | 42 | 136 | 108 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_r50vd_6x_coco.pdparams) | [config](./rtdetr_r50vd_6x_coco.yml)
| RT-DETR-R101 | 80 | ResNet-101 | 640 | 54.3 | 72.7 | 76 | 259 | 74 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_r101vd_6x_coco.pdparams) | [config](./rtdetr_r101vd_6x_coco.yml)
| RT-DETR-L | 80 | HGNetv2 | 640 | 53.0 | 71.6 | 32 | 110 | 114 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_hgnetv2_l_6x_coco.pdparams) | [comming soon](rtdetr_hgnetv2_l_6x_coco.yml)
| RT-DETR-X | 80 | HGNetv2 | 640 | 54.8 | 73.1 | 67 | 234 | 74 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_hgnetv2_x_6x_coco.pdparams) | [comming soon](rtdetr_hgnetv2_x_6x_coco.yml)
| RT-DETR-R50 | 6x | ResNet-50 | 640 | 53.1 | 71.3 | 42 | 136 | 108 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_r50vd_6x_coco.pdparams) | [config](./rtdetr_r50vd_6x_coco.yml)
| RT-DETR-R101 | 6x | ResNet-101 | 640 | 54.3 | 72.7 | 76 | 259 | 74 | [download](https://bj.bcebos.com/v1/paddledet/models/rtdetr_r101vd_6x_coco.pdparams) | [config](./rtdetr_r101vd_6x_coco.yml)
| RT-DETR-L | 6x | HGNetv2 | 640 | 53.0 | 71.6 | 32 | 110 | 114 | [coming soon](https://bj.bcebos.com/v1/paddledet/models/rtdetr_hgnetv2_l_6x_coco.pdparams) | [coming soon](rtdetr_hgnetv2_l_6x_coco.yml)
| RT-DETR-X | 6x | HGNetv2 | 640 | 54.8 | 73.1 | 67 | 234 | 74 | [coming soon](https://bj.bcebos.com/v1/paddledet/models/rtdetr_hgnetv2_x_6x_coco.pdparams) | [coming soon](rtdetr_hgnetv2_x_6x_coco.yml)
**Notes:**
- RT-DETR uses 4GPU to train.
......
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