Overview
- Use Cases: Diagrams that show possible use cases and connection between Face SDK objects.
- Connecting Face SDK to Project: Instructions on how to add and use the libfacerec library in your project.
- Face Capturing: Face detection and tracking, fitting of face landmarks and iris landmarks, calculation of head rotation angles, face normalization.
- Face Identification: Face identification and verification.
- Face Estimation: Estimation of age, gender and emotions, Liveness check (2D/3D), assessment of face image quality, detection of masks and open/closed eyes.
- Video Stream Processing: Face tracking, creation of templates, face identification, estimation of age, gender, and emotions, Liveness check, short-time identification.
- Processing Block API: New scalable interface for easy implementing Face SDK features.
- GPU Usage: Instructions on GPU usage for acceleration of Face SDK modules on Linux x86 64-bit and Android.
- Face SDK 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.