This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Last update: Feb 24, 2022

Overview

Vietnamese sign lagnuage recognition using MHI and CNN

This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN. We have 6 classes for most basic vocabolary disabled people need in daily life :

Uống (Drink)
Đói (Hungry)
Vui (Happy)
Giận (Angry)
Tôi (Me)
and class None for indicating no actions.

Requirements

Python3
Numpy
Tensorflow
Keras
opencv
Matplotlib
Seaborn

Owner

Phat Pham

GitHub Repository

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This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Related tags

Overview

Vietnamese sign lagnuage recognition using MHI and CNN

Requirements

Owner

Phat Pham

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This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Related tags

Overview

Vietnamese sign lagnuage recognition using MHI and CNN

Requirements

Owner

Phat Pham

Python Algorithm Interview Book Review

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch

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PyTorch wrappers for using your model in audacity!

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

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Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".

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