Overview
Main Development Stages
- Use Cases – Diagrams that show possible use cases and connection between the components.
- Connecting OMNI to Project – Instructions how to add and use the libfacerec library in your project.
- Face Capturing – Custom face tracking, getting information about faces, anthropometric points, face cropping.
- Face Identification – Custom face identification, identification methods.
- Face Estimation – Custom estimation of age, gender, emotion, and liveness (2D/3D).
- Video Stream Processing - Face tracking, creation of templates, face recognition, estimation of age, gender, and emotions, short-time identification.
- Processing Block API - Alternative set of API objects for easy implementing OMNI features.
- GPU Usage – Instructions on GPU usage for acceleration of Face SDK modules on Linux x86 64-bit and Android.
- OMNI VideoEngine JS plugin – Integration and usage of the Javascript plugin.
- Error Handling – Error handling in C++/C#/Java/Python.
- Memory Management – Memory management in C++/C#/Java/Python.
- Camera Calibration – Instructions on camera calibration and distortion correction.