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Difference Between FR models - Windows SDK

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?

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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). 

You can learn more about the solutions at the following links.
Visionbox: https://docs.trueface.ai/visionbox
Python SDK: https://docs.trueface.ai/python-sdk


We are also currently in the process of adding Windows support for out main C++ SDK.

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