Face Recognition - 2.0 English

Vitis AI Library User Guide (UG1354)

Document ID
UG1354
Release Date
2022-01-20
Version
2.0 English

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.

Table 1. Face Recognition Models
No Model Name Framework
1 facerec_resnet20 Caffe
2 facerec_resnet64
3

facerec-resnet20_mixed_pt

PyTorch