mbzuai-metaverse/XMem2
A tool for efficient semi-supervised video object segmentation (great results with minimal manual labor) and a dataset for benchmarking
This tool helps video editors, animators, and VFX artists efficiently isolate specific objects or subjects throughout an entire video clip. You provide a few marked frames indicating the objects, and the tool automatically generates precise masks for all other frames, even for challenging, deforming, or fluid objects like hair. This significantly reduces the manual effort needed for tasks like rotoscoping.
207 stars. No commits in the last 6 months.
Use this if you need to precisely segment objects across many frames of a video with minimal manual input, especially for complex or moving subjects.
Not ideal if you only need to segment a single static image or if your video objects are very simple and require no advanced tracking.
Stars
207
Forks
31
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 13, 2024
Commits (30d)
0
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