/box-detr

Box-DETR: Understanding and Boxing Conditional Spatial Queries

Box-DETR: Understanding and Boxing Conditional Spatial Queries

The code is comming soon.

Code for the paper Box-DETR: Understanding and Boxing Conditional Spatial Queries.

Modified from DAB-DETR (https://github.com/IDEA-Research/DAB-DETR)

Installation

This code is tested on Python 3.8 and Pytorch 1.9.0

1.Install Pytorch and torchvision

Follow the instruction on https://pytorch.org/get-started/locally/.

2.Install other needed packages

pip install -r requirements.txt

Train the model

Run (8 GPUs) Box-DETR-R50 by

cd Box-DETR
sh train.sh

For running with 4 GPUs, please modify --nproc_per_node' to 4 and --batch_size' to 4.

For other settings, please add `--backbone' or '--num_patterns'.