surveillance_monitoring/dependence/PaddleDetection/configs/deformable_detr

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	Inf time (fps)	Box AP	Config	Download
R-50	Deformable DETR	2	---	44.1	config	model

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

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}
}