Skip to main content

Sign Language Recognition tool.

Project description

Table of contents

General info

SignLanguageRecognition package is a opensource tool to estimate sign language from camera vision. This project is a implementation of sign language recognition using a LSTM Neural Network, TensorFlow Keras and other opensorce libraries like: OpenCV or MediaPipe.

Technologies

Project is created with:

  • Python: 3.8.8
  • OpenCV-Python: 4.5.3.56
  • TensorFlow: 2.4.1
  • MediaPipe: 0.8.7.3
  • NumPy: 1.19.5

Setup and getting started

Make sure that you have installed python (>=3.6) and you can run python from the command line. Check it by running:

python --version

Make sure you can run pip from the command line and ensure that pip version is up-to-date, using command:

pip install --upgrade pip

To run SignLanguageRecognition package, install you have to install it locally using pip:

pip install SignLanguageRecognition

or to install specific version, for example 0.0.17:

pip install SignLanguageRecognition==0.0.17

When you are installing this library, the following are also installed: opencv-python,mediapipe,numpy.

More details about installing and running python packages here: Installing Packages (python.org).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SignLanguageRecognition-0.0.19.1.tar.gz (2.3 MB view hashes)

Uploaded Source

Built Distribution

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page