gaomingqi/track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

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Summary Information

Updated 53 minutes ago
Added to GitGenius on September 9th, 2026
Created on April 12th, 2023
Open Issues & Pull Requests: 114 (+0)
GitHub issues: Enabled
Number of forks: 509
Total Stargazers: 6,998 (+0)
Total Subscribers: 58 (+0)

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Detailed Description

Track-Anything is an interactive tool for video object tracking and segmentation that combines Segment Anything, XMem, and E2FGVI to enable flexible object tracking through user clicks.

The tool addresses the challenge of tracking and segmenting objects in video by allowing users to specify what to track simply by clicking on objects in the video frame. Rather than requiring pre-training on specific object classes, it leverages the foundation model capabilities of Segment Anything to identify and segment user-selected objects. During playback, users can dynamically change which objects they want to track or correct segmentation regions if ambiguities arise, making it adaptable to complex scenarios including videos with shot changes.

Track-Anything suits projects involving video object tracking and segmentation where flexibility and interactivity are valuable, particularly when dealing with shot changes or when precise object specification is needed. It is well-suited for visualized development and data annotation workflows for video tracking tasks, as well as object-centric downstream applications like video inpainting and editing. The tool's click-based interface makes it accessible for annotation work without requiring manual mask drawing or complex configuration.

The project shows active development with improvements to core functionality, including decoupling of GPU memory usage from video length to enable inpainting of videos of arbitrary duration. The codebase includes comprehensive tutorial documentation structured in steps to guide users through workflows. The project has been deployed as a public demonstration on a hosted platform, indicating commitment to accessibility and practical usability beyond the research phase.