SHORE^® Software Solution – Technical Fact Sheet

Cross-Platform Software Library

• Suitable for desktop, server and embedded systems
  
• Runs on Windows, MacOS, Linux, iOS, Android
  
• Supports x86, x64, ARMv7 and AARCH64 architectures
  
• Further platforms are available on demand!

Development Platforms and Programming Languages

• C++-SDK with an intuitive yet highly customizable API
• Support for a wide range of development environments via bindings
  • Python (Download via Github)
    
  • Java (upon request)
    
  • Webassembly/Javascript (coming soon)
  • Support for other environments is available on demand!
  • No additional dependencies

Demo software

• Free demo software available for Windows systems
• Additional demo software is available upon request
  

Free demo app for Windows systems (additional demo software available on request!)

SHORE^® Benchmarks

The following benchmark results show the processing speed of SHORE^® in frames per second on both desktop systems and embedded systems. The following parameters were varied:

• Resolution of input images (VGA=640x480 pixels and HD=1280x720 pixels).
• Number of faces per image (1 and 10)
• 4 different configurations of SHORE®:
  • Face finding, determination of 68 facial landmarks and face analysis (6 facial expressions, age, gender)
  • Face finding and face analysis (6 facial landmarks, age, gender)
  • Face finding and determination of 68 Facial Landmarks
  • Face finding

A Raspberry Pi 3 Model B and an NVIDIA TX2 were used as reference systems for the measurements on embedded systems. The desktop system consisted of an Intel i7-7800k with 16 GB RAM.
The image data was processed in single frame mode - significantly higher frame rates can also be achieved when processing data with temporal correlation (e.g. camera recordings).