Training the faceantispoofing model

[nalinmittal]

I went through Dr. Liu's repository. I came to the understanding that it utilizes a depth map input image for training but the tflite model in your android app requires only RGB(bitmap) input image. I want to use only RGB input image for my project. I have a few questions

• Can you suggest an idea on how to train without using depth map as an input?
• Why do you calculate a Laplacian of the bitmap before passing it to the tflite model? I understand it is for detecting edges. I am very interested in your line of thinking for it.

I thank you for your code as it gave me a lot of insights to make a mobile app. I appreciate your reply.

[syaringan357]

Sorry, I'm too busy recently. I haven't paid attention to GitHub for a long time.

1. The depth map is only used in training for back propagation.
2. Laplacian is used to calculate the sharpness of images. Low definition images are directly considered attacks because this model can't anti it.