SA-Gate Segmentation - 1.4.1 English

Vitis AI Library User Guide (UG1354)

Document ID
Release Date
1.4.1 English

SA-Gate is a neural network that is used for indoor segmentation. The input is a pair images which are RGB image and HHA map generated with depth map. The output is a heat map where each pixels is predicted with a semantic category, like chair, bed, usual object in indoor.

The following image shows the result of SA-Gate segmentation.

Figure 1. SA-Gate segmentation Test Example

The following table lists the SA-Gate models supported by the Vitis AI library.

Table 1. SA-Gate Segmentation Models
No Model Name Framework
1 SA_gate_pt PyTorch