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yolov5_animal_detection

https://github.com/thanabordeen/yolov5_animal_detection

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 (4.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ThanabordeeN
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 31.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

Multiclass Animal Detection For CCTV by YOLOV5

This project aims to train the YOLOv5 model to detect multiple classes of animals in video footage. By leveraging the power of YOLOv5, we can identify different animals in real-time, which can be particularly useful in various scenarios such as wildlife monitoring, animal behavior studies, and ensuring public safety in areas where wildlife frequently interacts with humans.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Owner

  • Name: Thanabordee Nammungkhun
  • Login: ThanabordeeN
  • Kind: user

Just a man Who Interest in CODING

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

.github/workflows/ci-testing.yml actions
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  • actions/setup-python v4 composite
  • slackapi/slack-github-action v1.24.0 composite
.github/workflows/codeql-analysis.yml actions
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  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
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.github/workflows/docker.yml actions
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  • docker/build-push-action v4 composite
  • docker/login-action v2 composite
  • docker/setup-buildx-action v2 composite
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.github/workflows/greetings.yml actions
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.github/workflows/links.yml actions
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  • nick-invision/retry v2 composite
.github/workflows/stale.yml actions
  • actions/stale v8 composite
.github/workflows/translate-readme.yml actions
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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
requirements.txt pypi
  • Pillow >=7.1.2
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.18.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • psutil *
  • requests >=2.23.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=65.5.1
  • thop >=0.1.1
  • torchvision >=0.8.1
  • tqdm >=4.64.0
  • ultralytics >=8.0.100
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==19.10.0
  • pip ==21.1
  • werkzeug >=2.2.3