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Sign Language Translator using Graph Convolution Networks (GCN)

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Sign Language Translator

The Sign Language Translator project focuses on building and training a Graph Convolutional Network (GCN) model to represent the American Sign Language.

Data Preprocessing

To preprocess the data, use the following command:

python3 process.py --max_samples=10 --replace=True

The max_samples and replace arguments are optional.

  • max_samples (default: 100) specifies the maximum number of samples for each class.
  • replace (default: False) specifies if the dataset already exists and if you want to replace it with new values.

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Sign Language Translator using Graph Convolution Networks (GCN)

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