face alignment

We have hosted the application face alignment in order to run this application in our online workstations with Wine or directly.

Quick description about face alignment:

Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon. By default, the package will use the SFD face detector. However, the users can alternatively use dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage.

Features:

• Detect 3D facial landmarks in pictures
• Process an entire directory in one go
• Detect the landmarks using a specific face detector
• Running on CPU/GPU
• Supports Linux, Windows or macOS
• Requires pytorch (>=1.5)

Programming Language: Python.
Categories: