The face feature models are used for face recognition. They can extract the features of a person's face. The output of these models is 512 features. If you have two different images and you want to know if they are of the same person, use these models to extract features of the two images, and then use calculation functions and mapped functions to get the similarity of the two images.
Figure 1. Face Recognition Example
The following table lists the face recognition models supported by the Vitis AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | facerec_resnet20 | Caffe |
| 2 | facerec_resnet64 | |
| 3 |
facerec-resnet20_mixed_pt |
PyTorch |