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insulator-yolov11

A real-time lightweight transmission line insulator defect detection algorithm

https://github.com/bobo504/insulator-yolov11

Science Score: 26.0%

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    Low similarity (5.8%) to scientific vocabulary
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Repository

A real-time lightweight transmission line insulator defect detection algorithm

Basic Info
  • Host: GitHub
  • Owner: bobo504
  • License: agpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 2.22 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

insulator-YOLOv11

A real-time lightweight transmission line insulator defect detection algorithm

Usage

  1. Download this repository
  2. Create a virtual environment python >= 3.10
  3. Install Pytorch torch: 2.2.2+cu121 torchvision: 0.17.2+cu121
  4. pip install -e . #please do not forget . sympol. # Code Description
  5. dataset configure file: "data/insulator.yaml"
  6. model configure files: "11/insulator/*.yaml"
  7. attention module files: "extra_models/CA.py, CBAM.py". They are registered in "task.py"
  8. DCNV2, BottleneckDCNv2, and C3k2DCNv2 are defined in "block.py" and registered in "task.py" # Dataset The dataset and .pt files are available at: https://drive.google.com/drive/folders/15LshaBBlh1MuvE-OO6PrymcqXbnQR66?usp=drivelink

dataset: insulator.7z

The customized dataset comprised 1,600 images, 1,280 of which were used for training and 320 for validation.

Training epochs were set to 200. Batch size is set to 32.

Owner

  • Login: bobo504
  • Kind: user

GitHub Events

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Last Year
  • Watch event: 1
  • Push event: 4
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Dependencies

examples/YOLOv8-ONNXRuntime-Rust/Cargo.toml cargo
docker/Dockerfile docker
  • pytorch/pytorch 2.4.1-cuda12.1-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
  • seaborn >=0.11.0
  • 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