Bayesian Crowd Counting - 3.5 English

Vitis AI Library User Guide (UG1354)

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3.5 English

Bayesian Crowd Counting is a neural network that is used for counting the number of individuals in a crowd. The input is a picture of a crowd whose size you would like to estimate. The output is the estimated number of individuals in the crowd.

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