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wtefnet

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems

https://github.com/wh954/wtefnet

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.7%) to scientific vocabulary

Scientific Fields

Mathematics Computer Science - 84% confidence
Artificial Intelligence and Machine Learning Computer Science - 67% confidence
Last synced: 4 months ago · JSON representation ·

Repository

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems

Basic Info
  • Host: GitHub
  • Owner: wh954
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 30.6 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 6 months ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Citation

README.md

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems

Hao Wu, Junzhou Chen, Ronghui Zhang, Nengchao Lyu, Hongyu Hu, Yanyong Guo, and Tony Z. Qiu

Paper Download

  • The download link for the GSN dataset is below:
Google Drive Download
Baidu Cloud Download (Extraction code: uvbm)
  • The file structure of the downloaded dataset is as follows.

output ├── images │ ├── train │ ├── val │ │── test ├── labels │ ├── train │ ├── val │ │── test

👐 Hands-On Guide

Step 1 — Requirements

To install requirements: pip install -e .

Step 2 — Prepare the configuration file

model: ./ultralytics/cfg/models/wtefnet.yaml dataset: ./ultralytics/data/mydataset.yaml

Step 3 - Train

cd ultralytics python train.py

Step 4 - Test

python test.py

Citation

If you use WTEFNet or GSN dataset, please consider citing: @article{wu2025wtefnet, title={WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems}, author={Wu, Hao and Chen, Junzhou and Zhang, Ronghui and Lyu, Nengchao and Hu, Hongyu and Guo, Yanyong and Qiu, Tony Z}, journal={arXiv preprint arXiv:2505.23201}, year={2025} }

Owner

  • Name: wh_0115
  • Login: wh954
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with https://bit.ly/cffinit

cff-version: 1.2.0
title: Ultralytics YOLO
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Glenn
    family-names: Jocher
    affiliation: Ultralytics
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Qiu
    given-names: Jing
    affiliation: Ultralytics
    orcid: "https://orcid.org/0000-0003-3783-7069"
  - given-names: Ayush
    family-names: Chaurasia
    affiliation: Ultralytics
    orcid: "https://orcid.org/0000-0002-7603-6750"
repository-code: "https://github.com/ultralytics/ultralytics"
url: "https://ultralytics.com"
license: AGPL-3.0
version: 8.0.0
date-released: "2023-01-10"

GitHub Events

Total
  • Delete event: 1
  • Issue comment event: 2
  • Push event: 1
  • Pull request event: 1
  • Create event: 4
Last Year
  • Delete event: 1
  • Issue comment event: 2
  • Push event: 1
  • Pull request event: 1
  • Create event: 4

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v6 composite
  • codecov/codecov-action v5 composite
  • conda-incubator/setup-miniconda v3 composite
  • eviden-actions/clean-self-hosted-runner v1 composite
  • slackapi/slack-github-action v2.1.0 composite
  • ultralytics/actions/cleanup-disk main composite
.github/workflows/cla.yml actions
  • contributor-assistant/github-action v2.6.1 composite
.github/workflows/docker.yml actions
  • actions/checkout v4 composite
  • docker/login-action v3 composite
  • docker/setup-buildx-action v3 composite
  • slackapi/slack-github-action v2.1.0 composite
  • ultralytics/actions/cleanup-disk main composite
  • ultralytics/actions/retry main composite
.github/workflows/docs.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v6 composite
.github/workflows/format.yml actions
  • ultralytics/actions main composite
.github/workflows/links.yml actions
  • actions/checkout v4 composite
  • ultralytics/actions/retry main composite
.github/workflows/merge-main-into-prs.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/mirror.yml actions
  • actions/checkout v4 composite
.github/workflows/publish.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/setup-python v5 composite
  • actions/upload-artifact v4 composite
  • astral-sh/setup-uv v6 composite
  • pypa/gh-action-pypi-publish release/v1 composite
  • slackapi/slack-github-action v2.1.0 composite
.github/workflows/stale.yml actions
  • actions/stale v9 composite
examples/YOLO-Series-ONNXRuntime-Rust/Cargo.toml cargo
examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml cargo
docker/Dockerfile docker
  • pytorch/pytorch 2.7.0-cuda12.6-cudnn9-runtime build
examples/YOLOv8-Action-Recognition/requirements.txt pypi
  • transformers *
  • ultralytics *
pyproject.toml pypi
  • matplotlib >=3.3.0
  • numpy >=1.23.0
  • opencv-python >=4.6.0
  • pandas >=1.1.4
  • pillow >=7.1.2
  • psutil *
  • py-cpuinfo *
  • pyyaml >=5.3.1
  • requests >=2.23.0
  • scipy >=1.4.1
  • torch >=1.8.0
  • torch >=1.8.0,!=2.4.0; sys_platform == 'win32'
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics-thop >=2.0.0
ultralytics.egg-info/requires.txt pypi
  • albumentations >=1.4.6
  • coremltools >=8.0
  • coverage *
  • flask *
  • h5py *
  • hub-sdk >=0.0.12
  • ipython *
  • matplotlib >=3.3.0
  • mkdocs >=1.6.0
  • mkdocs-macros-plugin >=1.0.5
  • mkdocs-material >=9.5.9
  • mkdocs-ultralytics-plugin >=0.1.19
  • mkdocstrings *
  • mlflow *
  • numpy >=1.23.0
  • onnx <1.18.0,>=1.12.0
  • opencv-python >=4.6.0
  • openvino >=2024.0.0
  • pandas >=1.1.4
  • pillow >=7.1.2
  • psutil *
  • py-cpuinfo *
  • pycocotools >=2.0.7
  • pytest *
  • pytest-cov *
  • pyyaml >=5.3.1
  • requests >=2.23.0
  • scikit-learn >=1.3.2
  • scipy >=1.4.1
  • shapely >=2.0.0
  • streamlit >=1.29.0
  • tensorboard *
  • tensorflow >=2.0.0
  • tensorflowjs >=2.0.0
  • tensorstore >=0.1.63
  • torch *
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics-thop >=2.0.0
  • wandb *