更换文档检测模型

paddle_detection/configs/tood/README.md

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+# TOOD
+
+## Introduction
+
+[TOOD: Task-aligned One-stage Object Detection](https://arxiv.org/abs/2108.07755)
+
+TOOD is an object detection model. We reproduced the model of the paper.
+
+
+## Model Zoo
+
+| Backbone | Model | Images/GPU  | Inf time (fps) | Box AP | Config | Download |
+|:------:|:--------:|:--------:|:--------------:|:------:|:------:|:--------:|
+| R-50 | TOOD  | 4 | --- | 42.5 | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/tood/tood_r50_fpn_1x_coco.yml) | [model](https://paddledet.bj.bcebos.com/models/tood_r50_fpn_1x_coco.pdparams) |
+
+**Notes:**
+
+- TOOD is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`.
+- TOOD uses 8GPU to train 12 epochs.
+
+GPU multi-card training
+```bash
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+python -m paddle.distributed.launch --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/tood/tood_r50_fpn_1x_coco.yml --fleet
+```
+
+## Citations
+```
+@inproceedings{feng2021tood,
+    title={TOOD: Task-aligned One-stage Object Detection},
+    author={Feng, Chengjian and Zhong, Yujie and Gao, Yu and Scott, Matthew R and Huang, Weilin},
+    booktitle={ICCV},
+    year={2021}
+}
+```