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hand-gesture

hand gesture recognition and socket communication

https://github.com/mikeszabi/hand-gesture

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 (3.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

hand gesture recognition and socket communication

Basic Info
  • Host: GitHub
  • Owner: mikeszabi
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1010 KB
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 License Citation

README.md

Note
→ Kazuhito00/hand-keypoint-classification-model-zoo

hand-gesture-recognition-using-mediapipe

mqlrf-s6x16

Requirements

  • mediapipe 0.8.4
  • OpenCV 4.6.0.66 or Later
  • Tensorflow 2.9.0 or Later
  • protobuf <3.20,>=3.9.2
  • scikit-learn 1.0.2 or Later
  • matplotlib 3.5.1 or Later

Demo

sudo docker build -t hand_gesture .

sudo xhost +local: && \ sudo docker run --rm -it \ --device /dev/video0:/dev/video0 \ -v pwd:/home/user/workdir \ -v /tmp/.X11-unix/:/tmp/.X11-unix:rw \ --network=host \ -e DISPLAY=$DISPLAY \ hand_gesture:latest

python app.py --device 0

--privileged

Directory

│  app.py
│  keypoint_classification.ipynb
│  point_history_classification.ipynb
│
├─model
│  ├─keypoint_classifier
│  │  │  keypoint.csv
│  │  │  keypoint_classifier.hdf5
│  │  │  keypoint_classifier.py
│  │  │  keypoint_classifier.tflite
│  │  └─ keypoint_classifier_label.csv
│  │
│  └─point_history_classifier
│      │  point_history.csv
│      │  point_history_classifier.hdf5
│      │  point_history_classifier.py
│      │  point_history_classifier.tflite
│      └─ point_history_classifier_label.csv
│
└─utils
    └─cvfpscalc.py

License

hand-gesture-recognition-using-mediapipe is under Apache v2 license.

Owner

  • Login: mikeszabi
  • 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

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Dependencies

Dockerfile docker
  • ubuntu 20.04 build
requirements.txt pypi
  • matplotlib *
  • mediapipe *
  • opencv-python *
  • protobuf *
  • scikit-learn *
  • tensorflow *