DDGRCF / DFDet

Offical Implementation for Oriented Object Detection via Contextual Dependence Mining and Penalty-Incentive Allocation
Apache License 2.0
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## ✨𝓓𝓕𝓓𝓮𝓽✨ [![Typing SVG](https://readme-typing-svg.herokuapp.com?font=Fira+Code&size=18&duration=2000&pause=500¢er=true&vCenter=true&multiline=true&random=false&width=500&height=90&lines=Oriented+Object+Detection+via+Contextual;Dependence+Mining+and+Penalty-Incentive;Allocation)](https://git.io/typing-svg)

Introduction

This is the official implementation🏢 of [DFDet](), which is implemented on OBBDetection

Update

Installation

Please refer to install.md for installation and dataset preparation.

Get Started

How to use OBBDetection

If you want to train or test a oriented model, please refer to oriented_model_starting.md.

How to Start DFDet

To help you start quickly, I prepare a simple bash script

Train

config=/path/to/config && work_dir=/path/to/work_dir && cuda=(device_id, like 0, 1, 2, 3 ...)
bash my_exps/train.sh ${config} ${work_dir} ${cuda}

Test

config=/path/to/config && ckpt=/path/to/checkpoint && save_dir=/path/to/results_save_dir && cuda=(same as above)
bash my_exps/test.sh ${config} ${ckpt} ${save_dir} ${cuda}

How to Deploy DFDet

TODO:

Cite

TODO:

License

This project is released under the Apache 2.0 license.