Jupyter notebooks using the sign_language_translator package and showing demos as well.
notebooks ├── README.md ├── experiments.ipynb ├── data_collection │ ├── clip_extractor.ipynb │ ├── hugging_face_text_datasets.ipynb │ ├── language_models.ipynb │ ├── names_LM.ipynb │ ├── parallel_corpus.ipynb │ ├── synonyms.ipynb │ ├── text_cleaning.ipynb │ ├── text_extraction.ipynb │ ├── text_scrapper.ipynb │ ├── trim_clips.ipynb: analyze position of wrists in frame and remove pauses at start & end │ └── zip_dataset.ipynb │ ├── model_training │ ├── embeddings.ipynb │ ├── ngram_training.ipynb │ └── transformer_lm_training.ipynb │ ├── text │ ├── align_embeddings.ipynb │ ├── frequency.ipynb │ ├── text_embedding.ipynb │ └── vocab.ipynb │ ├── translation │ └── concatenative_synthesis.ipynb: (text to sign) join sign for each word in text and play │ └── vision ├── concatenate_demo.ipynb ├── landmark_display.ipynb ├── transforms_demo.ipynb ├── video_embedding.ipynb ├── video.ipynb ├── inputs │ └── * └── outputs └── *