Bayesian Crowd Counting - 1.4 English

Vitis AI Library User Guide (UG1354)

Document ID
UG1354
Release Date
2021-07-22
Version
1.4 English

Bayesian Crowd Counting is a neural network that is used for crowd counting. The input is a picture with crowd individuals that you would like to estimate the number of them. The output is a number which is the estimated value of crowd counting with the density map of input image. The following image shows the result of Bayesian Crowd Counting test.

Figure 1. Bayesian Crowd Counting Test Example



The following table lists the BCC models supported by the Vitis AI library.

Table 1. BCC Models
No Model Name Framework
1 bcc_pt PyTorch