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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for SignLanguageRecognition-0.0.19.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 22a074147da891e498c9d5b80ad0afb4346462f6f1b09ae810c003ab8fa553b2 |
|
MD5 | 382836b6735973e933f06feb872c6e84 |
|
BLAKE2b-256 | 94b790c91839c79b72d8cc87827310e217d39629d4cafaad4f243f326f7dc142 |
Hashes for SignLanguageRecognition-0.0.19.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31f022ba681bf6dab656de3cb512ef2e4bd0217f5853bb0e1f23e227b976a9cd |
|
MD5 | e8aac26e2873cf934fb49a8c2c12a213 |
|
BLAKE2b-256 | f8933a33533c51c6aaf2ea43b1a5dc280979c8bbd05e0bc56ab1be6bcb1c8fa3 |