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Action Detection for ASL and Nigerian indigenous sign language using Google mediapipe

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Action Detection of American Sign Language (ASL) and Nigerian Indigenous Sign Language

This project is a TETFAIR project. TETFAIR is an initiative of TETFUND in collaboration with Innov8 Hub

This project is a property of Academics from the University of Ibadan - Dr. Adeniji Oluwasola David, Dr. Adebolajo Adeyemo, Prof. Bolanle Oladejo, Dr. Udeme Jacob

Action Detection for ASL and Nigerian indigenous sign language using tensorflow, tensforflow-gpu, opencv-python, mediapipe, scikit-learn, matplotlib for model training and evaluation. Other dependencies for a fastAPI webapp and RaspberryPi build are in the environment.yml or requirements.txt files

Training action detection

Setup

run environment.yml file for conda users OR requirements.txt for pip users

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Action Detection for ASL and Nigerian indigenous sign language using Google mediapipe

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