szad670401/HyperLandmark

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1707 stars · 515 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A deep learning based face landmark detector that localizes 106 facial points in real time on mobile devices, with a small (~2MB) CNN tracking model supporting multi-face tracking. The Android implementation is self-contained, while the Windows demo is based on the traditional SDM algorithm with OpenCV.

Use cases

• detect 106 face landmarks in real time on android
• track multiple faces with a lightweight model on mobile
• preprocess face alignment for face beautification or makeup apps
• build cooperative liveness detection with face landmarks
• run fast face point localization on low-end phones
• integrate face tracking into a camera app with opengl

When to choose

• you need a small, fast, free face landmark model for android mobile apps
• you need 106-point facial contours for beauty or makeup effects
• you want multi-face tracking without heavy dependencies on android

When to avoid

• you need actively maintained software - the project is discontinued in favor of InspireFace
• you need iOS support out of the box - only community ports exist
• you need dense landmarks (800 points), pose estimation, or facial action recognition - listed as TODO and never delivered
• you need desktop-grade accuracy - the Windows version uses a different, older SDM-based approach

Facets

library · maturity abandoned

machine-learning computer-vision image-processing computer-vision mobile-development artificial-intelligence windows cpp face-landmark face-alignment face-tracking 106-points cnn real-time mobile beauty-filters liveness-detection android

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