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custom-yolov5-model

YOLOv5 model을 연습하는 저장소

https://github.com/nicehcy2/custom-yolov5-model

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
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.9%) to scientific vocabulary

Keywords

yolov5
Last synced: 10 months ago · JSON representation ·

Repository

YOLOv5 model을 연습하는 저장소

Basic Info
  • Host: GitHub
  • Owner: nicehcy2
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 938 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
yolov5
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

How To Use

  1. 파이썬 가상 환경에서 requirements.txt 다운. (3.10 버전 권장) python pip install -r requirements.txt

  2. detect.py 실행

    • run 함수가 메인 동작 기능입니다. run 함수의 매개변수 값을 변경하면 source(ex. img.jpg, webCam)와 가중치(best.pt), 매개변수(threshold)값을 조절할 수 있습니다.
    • 탐지된 이미지는 runs 파일에 저장되며 서버에는 하드코딩된 위도와 경도가 보내집니다. 서버의 응답을 해주는 코드가 없어 정상적으로 보낸더라도 500이 뜹니다.
    • 포트홀 탐지 시 box 모양의 오브젝트 추가하는 코드를 제거하여 원본 데이터가 저장됩니다. box 모양이 있고 싶다면 '''로 된 주석 블럭을 지우면 됩니다.

  3. 리팩터링과 수정이 매우 필요

Owner

  • Name: Chan-Young Heo
  • Login: nicehcy2
  • Kind: user
  • Company: Kwangwoon University

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

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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 >=2.23.0
  • requests *
  • 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
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1