Mediapipe Face Mesh
- 5 installs
- 1 repo stars
- Updated March 10, 2026
- davidcastagnetoa/skills
Extracts 468 real-time facial landmarks with MediaPipe Face Mesh to drive blink, head-turn and expression challenges in active liveness.
About
Generates 468 3D face landmarks in real time as the basis for active liveness challenges like blink and head-turn detection. Use it whenever a challenge needs precise facial movement or expression tracking.
- Key landmark indices for eyes, nose and mouth with refine_landmarks iris points
- Run on a dedicated thread to avoid blocking the main pipeline
Mediapipe Face Mesh by the numbers
- 5 all-time installs (skills.sh)
- Ranked #1,598 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Jul 29, 2026 (Skillselion catalog sync)
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| Installs | 5 |
|---|---|
| repo stars | ★ 1 |
| Last updated | March 10, 2026 |
| Repository | davidcastagnetoa/skills ↗ |
What it does
Extracts 468 real-time facial landmarks with MediaPipe Face Mesh to drive blink, head-turn and expression challenges in active liveness.
Files
mediapipe_face_mesh
MediaPipe Face Mesh genera 468 landmarks 3D en tiempo real. Es la base de todos los challenges activos: detección de parpadeo, giro de cabeza y expresiones faciales.
When to use
Usar en todos los challenges de liveness activo que requieren detectar movimiento o expresión facial específica.
Instructions
1. Instalar: pip install mediapipe. 2. Inicializar: mp_face_mesh = mp.solutions.face_mesh.FaceMesh(static_image_mode=False, max_num_faces=1, refine_landmarks=True, min_detection_confidence=0.5, min_tracking_confidence=0.5). 3. Procesar frame: results = mp_face_mesh.process(rgb_frame). 4. Extraer landmarks: landmarks = results.multi_face_landmarks[0].landmark → lista de 468 puntos (x, y, z normalizados). 5. Índices clave para cada tarea: ojos (33, 133, 159, 145, 158, 153 para ojo izquierdo), nariz (1, 4), boca (61, 291, 13, 14). 6. Proyectar coordenadas 3D a 2D con la dimensión del frame para cálculos de posición.
Notes
refine_landmarks=Trueañade landmarks de iris (precisión extra para blink detection).- Ejecutar en hilo dedicado para no bloquear el pipeline principal.
- Documentación oficial: https://google.github.io/mediapipe/solutions/face_mesh
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