midusi / lsa-t Goto Github PK
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License: MIT License
Home Page: https://midusi.github.io/LSA-T/
License: MIT License
Am I understanding your labels correctly - only subtitles in the spoken language? And also every gloss is in line with every sign? Phonological feature of sign?
Agregar a los metadatos de cada clip los campos "playlist" y "playlist_url" con la playlist a la que originalmente pertenecen. Siendo que algunas playlist tienen videos con mucha más producción que otros e interpretes más fijos puede que sean más difíciles que otras.
I recently came across your repository for the LSA-T sign language dataset.
However, I noticed that the dataset does not explicitly include start and end times for each gloss (frames alignment), which is crucial for my current project.
I was wondering if such frames alignment data is available, even if not currently included in the repository. If so, would it be possible to access it? Any additional information or guidance on aligning glosses with their respective video timestamps would be incredibly helpful.
Thank you for your time and for sharing your work with the community. I look forward to your response!
El parseo se hacía para un formato que (creo) era más complejo que el actual.
Verificar función process_sub_file
Hello there, I have installed the repository like 'pip install lsat
'. Then I have tried running python PytorchDataset.py
but I get the error ModuleNotFoundError: No module named 'lsat.typing'
Is there any instructions we can follow to download the dataset? Thank you very much~
Los keypoints ahora están relativizados al centro de la roi (en process_ap.py), debieran estarlo respecto al pecho de la persona
I noticed that you included the landmarks of some features, such as hands.I was wondering if they are in 3d or 2d. I havent downloaded the dataset yet because it would take a while and was hoping to get an answer before I started.
Why was Alphapose chosen? What about Mediapipe holistic or OpenPose?
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