更换文档检测模型

paddle_detection/configs/deformable_detr/README.md

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+# Deformable DETR
+
+## Introduction
+
+
+Deformable DETR is an object detection model based on DETR. We reproduced the model of the paper.
+
+
+## Model Zoo
+
+| Backbone |      Model      | Images/GPU | Epochs | Box AP |                                                             Config                                                             |                                         Log                                         |                                       Download                                       |
+|:--------:|:---------------:|:----------:|:------:|:------:|:------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------:|
+|   R-50   | Deformable DETR |     2      |   50   |  44.5  | [config](https://github.com/PaddlePaddle/PaddleDetection/blob/develop/configs/deformable_detr/deformable_detr_r50_1x_coco.yml) | [log](https://bj.bcebos.com/v1/paddledet/logs/deformable_detr_r50_1x_coco_44.5.log) | [model](https://paddledet.bj.bcebos.com/models/deformable_detr_r50_1x_coco.pdparams) |
+
+**Notes:**
+
+- Deformable DETR is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`.
+- Deformable DETR uses 8GPU to train 50 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/deformable_detr/deformable_detr_r50_1x_coco.yml --fleet
+```
+
+## Citations
+```
+@inproceedings{
+zhu2021deformable,
+title={Deformable DETR: Deformable Transformers for End-to-End Object Detection},
+author={Xizhou Zhu and Weijie Su and Lewei Lu and Bin Li and Xiaogang Wang and Jifeng Dai},
+booktitle={International Conference on Learning Representations},
+year={2021},
+url={https://openreview.net/forum?id=gZ9hCDWe6ke}
+}
+```