We would like to know what is the difference between FR lite model and full model.
And also do you have the free test/evaluation SDK based on Windows PC?
The two models have different architectures. The lite model is optimized for running on resource constrained devices such as embedded systems. It has a lower memory footprint and also has faster inference time. The full model has better accuracy, but also requires greater memory and has a larger inference time. It is ideal for x86 systems with more computing power or systems with GPUs.
You can view the difference in accuracy here: http://performance.trueface.ai/
The full model is the "Model-TFV4", while the lite model is the "Model-lite".
The difference in inference speed and memory usage is summarized in the table on this page: https://www.trueface.ai/our-technology/sdk
We have several different developer solutions which can run on different systems.
For Windows, I would suggest either the Visionbox, which is a dockerized application exposing REST API endpoints, or the python SDK (which is now deprecated).
We are also currently in the process of adding Windows support for out main C++ SDK.