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msln

https://github.com/mi-luo/msln

Science Score: 31.0%

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
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    .zenodo.json file
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  • ○
    Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: mi-luo
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 1.34 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

MSLN

A Multi-level Information Injection and Spatial Frequency Interaction Downsampling Learning Network for Aerial Object Detection is proposed.

install

python git clone https://github.com/mi-luo/MSLN # clone cd MSLN pip install -r requirements.txt # install

Train

Our project is developed based on the ultralytics-yolov8 project, and its training, validation, and detection procedures are identical to those of the yolov8 project. For detailed operations, please refer to the following link: https://docs.ultralytics.com/#yolo-a-brief-history.

Acknowledgements

This paper and the related experiments utilize the publicly available datasets DOIR and NWPU VHR-10, with the code architecture developed based on YOLOv8. Below are the relevant paper titles associated with the experimental data and code. 1.“Object detection in optical remote sensing images: A survey and A new benchmark“ 2.“A Survey on Object Detection in Optical Remote Sensing Images“ 3.“Real-time flying object detection with yolov8“

We sincerely appreciate the spirit of open sharing demonstrated by these organizations and hope that their datasets and codes can provide valuable insights for research and development in the field of high-resolution remote sensing.

NOTE：Please note that the listing above is not in any particular order

Contact

For MSLN bug reports and feature requests, and feel free to ask questions and engage in discussions!

Owner

  • Name: Wang Zerui
  • Login: mi-luo
  • Kind: user
  • Company: China Three Gorges University

student of China Three Gorges University

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'
  - given-names: Ayush
    family-names: Chaurasia
    affiliation: Ultralytics
    orcid: 'https://orcid.org/0000-0002-7603-6750'
  - family-names: Qiu
    given-names: Jing
    affiliation: Ultralytics
    orcid: 'https://orcid.org/0000-0003-3783-7069'
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

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Last synced: 10 months ago

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  • Total issues: 0
  • Total pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 25 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.58
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 12
Past Year
  • Issues: 0
  • Pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 25 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 2.58
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 12
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Dependencies

.github/workflows/ci.yaml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • codecov/codecov-action v4 composite
  • conda-incubator/setup-miniconda v3 composite
  • slackapi/slack-github-action v1.26.0 composite
.github/workflows/cla.yml actions
  • contributor-assistant/github-action v2.4.0 composite
.github/workflows/codeql.yaml actions
  • actions/checkout v4 composite
  • github/codeql-action/analyze v3 composite
  • github/codeql-action/init v3 composite
.github/workflows/docker.yaml actions
  • actions/checkout v4 composite
  • docker/login-action v3 composite
  • docker/setup-buildx-action v3 composite
  • docker/setup-qemu-action v3 composite
  • nick-invision/retry v3 composite
  • slackapi/slack-github-action v1.26.0 composite
.github/workflows/format.yml actions
  • ultralytics/actions main composite
.github/workflows/greetings.yml actions
  • actions/first-interaction v1 composite
.github/workflows/links.yml actions
  • actions/checkout v4 composite
  • nick-invision/retry v3 composite
.github/workflows/merge-main-into-prs.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/publish.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • slackapi/slack-github-action v1.26.0 composite
.github/workflows/stale.yml actions
  • actions/stale v9 composite
examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml cargo
docker/Dockerfile docker
  • pytorch/pytorch 2.3.1-cuda12.1-cudnn8-runtime build
examples/YOLOv8-Action-Recognition/requirements.txt pypi
  • transformers *
  • ultralytics *
pyproject.toml pypi
  • matplotlib >=3.3.0
  • numpy >=1.23.0,<2.0.0
  • 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
  • seaborn >=0.11.0
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics-thop >=2.0.0