CDCN-Face-Anti-Spoofing.pytorch
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Original paper uses PRNet for depth map estimation
I read the CDCN paper and it uses PRNet for estimating the 32*32 depth map. However, here I didn't find anything as such. Can you please give a clarification on this? What exactly is the output? Is it a depth map? And if the output is depth map then how is the depth map provided as ground truth?
The depth map here is just kind of pseudo map where all 1s represent a true face and all 0s represent a fake face