Noted: The paper is under review, and this code repository will be updated after it is accepted
Based on the MMdetection 3.1.0 framework, this project modifies its data flow and related classes and functions, and changes the MMdetection to a multi-modal detection framework to facilitate RGBT Object Detection.
Dataset: FLIR, LLVIP and Kaist
ref : mmdetection installation
Step 1: Clone the RSDet repository:
To get started, first clone the RSDet repository and navigate to the project directory:
git clone https://github.com/Zhao-Tian-yi/RSDet.git
cd RSDet
Step 2: Environment Setup:
RSDet recommends setting up a conda environment and installing dependencies via pip. Use the following commands to set up your environment:
Create and activate a new conda environment
conda create -n RSDet
conda activate RSDet
If you develop and run mmdet directly, install it from source
pip install -v -e .
Install Dependencies
pip install -r requirements.txt
pip install -r requirements_rgbt.txt
@article{zhao2024removal,
title={Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion},
author={Zhao, Tianyi and Yuan, Maoxun and Wei, Xingxing},
journal={arXiv preprint arXiv:2401.10731},
year={2024}
}
March. 19th, 2024
: Update: we have updated the source about one version bug.
March. 12th, 2024
: The source code is provided.