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yolov5_forsar

该项目基于开源YOLOv5算法，实现在SARDet-100K数据集上对SAR图像的训练和检测。

https://github.com/catalpa-hahn/yolov5_forsar

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
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

该项目基于开源YOLOv5算法，实现在SARDet-100K数据集上对SAR图像的训练和检测。

Basic Info
  • Host: GitHub
  • Owner: Catalpa-Hahn
  • License: agpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 1.19 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.MD

YOLOv5_forSAR版本管理记录

2024-12-29

建立git仓库，将该工程推送至github。 此次推送时项目状态：
已能在SARDet-100K数据集上正常训练，效果未知。
检测部分代码尚未修改。

2024-12-31

训练疑似因显存不足中断。
实现接续训练。

2024-01-04

实现在SARDet-100K测试集上的预测。

其他说明

修改、调试过程详细记录见
(1) 第8周工作记录
(2) 第9周工作记录

参考资料

原工程地址： https://github.com/ultralytics/yolov5
预训练权重下载： https://github.com/ultralytics/yolov5/releases/tag/v7.0
相关教程： https://blog.csdn.net/didiaopao/article/details/119954291?spm=1001.2014.3001.5501

Owner

  • Login: Catalpa-Hahn
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

GitHub Events

Total
  • Public event: 1
Last Year
  • Public event: 1

Dependencies

utils/docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
pyproject.toml pypi
  • matplotlib >=3.3.0
  • numpy >=1.22.2
  • 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
  • thop >=0.1.1
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.1.47
requirements.txt pypi
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • pillow >=10.3.0
  • psutil *
  • requests >=2.32.2
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=70.0.0
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.66.3
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1
  • zipp >=3.19.1