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 links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Adarshlakhanpal
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 1020 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

Owner

  • Name: Adarsh lakhanpal
  • Login: Adarshlakhanpal
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
title: "hand-gesture-recognition-using-mediapipe"
authors:
- family-names: "Takahashi"
  given-names: "Shigeki"
  orcid: "https://orcid.org/0000-0002-1343-9181"
date-released: 2020-12-15
message: "If you use 'hand-gesture-recognition-using-mediapipe' in your research, please cite it using these metadata."
url: "https://github.com/Kazuhito00/hand-gesture-recognition-using-mediapipe"
license: Apache-2.0 license

GitHub Events

Total
  • Watch event: 2
  • Push event: 4
  • Create event: 2
Last Year
  • Watch event: 2
  • Push event: 4
  • Create event: 2

Dependencies

Dockerfile docker
  • ubuntu 20.04 build
requirements.txt pypi
  • matplotlib ==3.5.1
  • mediapipe ==0.8.4
  • opencv-python ==4.6.0.66
  • protobuf <3.20,>=3.9.2
  • scikit-learn ==1.0.2
  • tensorflow ==2.9.0