model Flops?

[seekingdeep]

@AngeLouCN Hi there,

1. what is the number of GFlops for the CFPNet-V3 model?
2. can it inference using CPU-only? and how much RAM does it require to inference on cpu-only?

[AngeLouCN]

Hi, thank you for your questions! The CFPNet-V3 is my final CFPNet, and we proposed a medical version CFPNet-M which has 1 more million parameters than CFPNet. However, CFPNet-M only has 9,740,456 FLOPs with 256 by 192 size input. Also, I have compared CFPNet-M with ENet, ESPNet, ICNet, Inception v3, EfficientNet-b0 and MobileNet-v2 as shown in CFPNet-M project.

I test on RTX 2080Ti with GPU usage 60%, so I think it worth trying on cpu.

[seekingdeep]

thanks