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yolov5_train_girls_group

https://github.com/chingivy/yolov5_train_girls_group

Science Score: 44.0%

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
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ChingIvy
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 13.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

因為檔案太大，多個檔案進行內部壓縮，請自行解壓縮，因為訓練的模型過大，只留了一個最小的模型結果(剩下的放不上去，壓縮後依舊檔案過大)。 1. Install python(> 3.7) on Windows. 2. Use venv to run project. 2.1 open cmd windows.
2.2 assume working folder is D:\test.
2.3 python -m venv venv, this step is to create venv environment folder in D:\test, all packages are installed here.
*2.4 .\venv\Scripts\activate.bat
2.5 git clone this github
*2.6 cd yolov5
2.7 pip install -r requirements.txt
2.8 install the weights you want and put in folder(ex: yolov5n.pt)
//train
2.9 python train.py --batch 26 --epochs 500 --data datasets/hur.yaml --weights yolov5n.pt
//detect
**2.10 python detect.py --weight runs/train/exp/weights/best.pt --source datasets\test

Owner

  • Login: ChingIvy
  • 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"

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Dependencies

pyproject.toml pypi
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 >=2.23.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=65.5.1
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.64.0
  • ultralytics >=8.0.232
  • wheel >=0.38.0