GewelsJI/FSNet
Full-Duplex Strategy for Video Object Segmentation, ICCV, 2021.
This project helps video analysts automatically identify and segment specific objects within video footage. It takes raw video files and produces precise masks around the objects of interest, distinguishing them from the background. Researchers and engineers working with video analysis, surveillance, or content creation would find this tool useful for automating object isolation.
No commits in the last 6 months.
Use this if you need to accurately segment moving objects from video backgrounds, especially in challenging conditions like motion blur or occlusion.
Not ideal if your task involves static image segmentation or if you require real-time processing speeds significantly faster than 0.213 seconds per frame.
Stars
68
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 06, 2023
Commits (30d)
0
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