Python Facial Landmark Analysis

Introduction

A simple command line interface to automate facial analysis. pfla uses a pre-trained neural networks to detect faces and annotate them with 68 landmarks. The program also compyte four commonly used facial metrics. The output is saved to a file to allow for easy statistical analysis by the user.

Contents

• Installation and Usage
  • Requirements and Dependencies
  • Installation
  • Usage
• Overview
  • Image Processing
  • Output
• Structure
• API Documentation
  • img_prep module
  • face_detect module
  • annotate module
  • metrics module
  • logger module
  • linear module

Modules

• Index
• Module Index
• Search Page