cheind/dest
:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)
This tool helps researchers, developers, and engineers quickly and accurately identify and track specific points (landmarks) on deformable shapes, such as human faces, within images or video. You input an image or video, optionally with a rough estimate of the shape's location (like a face detector output), and it outputs the precise coordinates of the landmarks. This is ideal for anyone working with real-time analysis of dynamic visual data.
291 stars. No commits in the last 6 months.
Use this if you need a high-performance solution for real-time tracking of facial landmarks or other deformable shapes in video streams or images.
Not ideal if your primary goal is general object detection or if you require tracking of rigid, non-deforming objects.
Stars
291
Forks
106
Language
C++
License
BSD-3-Clause
Category
Last pushed
Dec 29, 2016
Commits (30d)
0
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