loubnabnl/Sign-Segmentation-with-Transformers
Detection of temporal boundaries in sign language videos, as part of the Object Recognition & Computer Vision course in the MVA master program.
This tool helps researchers and linguists automatically identify individual signs within sign language videos. You input a sign language video, and it outputs markers indicating where each distinct sign begins and ends. This is useful for anyone working to create or expand datasets for sign language research and education.
No commits in the last 6 months.
Use this if you need to quickly and automatically segment sign language videos to mark the boundaries between individual signs.
Not ideal if you need to understand the meaning of the signs or transcribe them into spoken language.
Stars
9
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1
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 10, 2022
Commits (30d)
0
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