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Awesome GitHub RepositoriesFirst-Frame Prompt Initializations
Seeds video tracking by accepting a user-provided bounding box or mask from the initial frame.
Distinct from Frame-By-Frame Stream Processing: Distinct from Frame-By-Frame Stream Processing: focuses on the initial prompt that defines the target object, not the general processing of each frame as an image.
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Awesome First-Frame Prompt Initializations GitHub Repositories
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- yangchris11/samurai
yangchris11/samurai
7,083Ver en GitHubSAMURAI is a zero-shot visual tracking model that adapts the Segment Anything architecture for video object segmentation. It uses a first-frame prompt, such as a bounding box or mask, to initialize tracking, then employs a motion-aware memory mechanism that stores and updates temporal motion features across frames to guide mask refinement. An online memory update strategy continuously refreshes this memory with new frame predictions, while temporal motion encoding computes optical flow between consecutive frames to inform object boundary and occlusion handling. The system is designed for real
Provides the initial bounding box or mask that seeds the entire tracking process.
Python
