cd-yolov8s

基于YOLOv8s改进的高空无人机检测模型

https://github.com/zhangj11/cd-yolov8s

Science Score: 44.0%

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Repository

基于YOLOv8s改进的高空无人机检测模型

Basic Info
  • Host: GitHub
  • Owner: Zhangj11
  • Language: Python
  • Default Branch: master
  • Size: 0 Bytes
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  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme Citation

README.md

这是一项基于YOLOv8s改进的高效高空无人机检测算法,CD-Yolov8s This is an improved and efficient high-altitude UAV detection algorithm based on YOLOv8s, CD-Yolov8s。

环境要求:与YOLOv8s所需要的环境一致 Environmental requirements: Consistent with the environment required by YOLOv8s

下面是一些简单的代码示例。 Here are some simple code examples.

pip install ultralytics # 第一次使用YOLO需要安装/The first time you use YOLO, you need to install it.

训练代码/Training code Run directly train.py

测试代码/Test the code Run directly val.py

CD-Yolov8s,yolov9,yolov10,yolov11的训练结果在run中的results.csv,记录了200轮的精度以及LOSS变化

The training results of CD-Yolov8s, yolov9, yolov10, yolov11 are results.csv in the run, the accuracy of 200 rounds is recorded, as well as the change in LOSS

run/CD-Yolov8s/result.csv

Owner

  • Login: Zhangj11
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use this software, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Chaurasia
    given-names: Ayush
    orcid: "https://orcid.org/0000-0002-7603-6750"
  - family-names: Qiu
    given-names: Jing
    orcid: "https://orcid.org/0000-0003-3783-7069"
  title: "YOLO by Ultralytics"
  version: 8.0.0
  # doi: 10.5281/zenodo.3908559  # TODO
  date-released: 2023-1-10
  license: AGPL-3.0
  url: "https://github.com/ultralytics/ultralytics"

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Dependencies

requirements.txt pypi
  • matplotlib >=3.2.2
  • 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
  • torch >=1.8.0
  • torchvision >=0.9.0
  • tqdm >=4.64.0
setup.py pypi