Face Mesh using MediaPipe
Face Mesh:
MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor.
Requirements:
Inorder for this project to run, you need to install the following libraries:
- OpenCV (pip install opencv-python)
- Mediapipe (pip install mediapipe)
Options:
You can detect a face mesh on both of the following options:
- Static Images imported to the project
- Real-time video straight from the web-cam
Uses:
FaceMesh is mostly used in AR Technology. For instance, different face editing apps use the same feature.

Note:
All the files have been commented for your ease. Furthermore you may also add further comments if you may.
Contact Info:
Feel free to contact me at : [email protected]
GitHub - HxnDev/Face-Mesh-using-Python: In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask.
In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask. - GitHub - HxnDev/Face-Mesh-using-Python: In this project, I am creating a facia...