hand_project
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Unable to calculate vocabulary similarity
Last synced: 9 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: Cosmicdevil007
- Language: Jupyter Notebook
- Default Branch: main
- Size: 4.67 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Citation
Owner
- Login: Cosmicdevil007
- Kind: user
- Repositories: 1
- Profile: https://github.com/Cosmicdevil007
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
- Push event: 5
- Create event: 1
Last Year
- Push event: 5
- Create event: 1
Dependencies
requirements.txt
pypi
- flask ==2.0.1
- gunicorn ==20.1.0
- matplotlib ==3.5.1
- mediapipe ==0.10.5
- nbconvert *
- opencv-python ==4.6.0.66
- papermill *
- scikit-learn ==1.3.2
- tensorflow ==2.12.0
- werkzeug ==2.0.3