This project is an implementation of our IJCAI 2021 paper "Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition", we propose a novel attacking form for the face recognition to synthesize the transferable and imperceptible adversarial examples.
We would like to generate the landmarks of our face images.
We see that a numpy.ndarray in landmark_aligned_600.pk contains 106 2D points. However, we can only generate 5 2D points using mtcnn. Could the authors add the code of generating the landmarks in the repo or describe how to generate the landmarks?
We would like to generate the landmarks of our face images.
We see that a
numpy.ndarray
inlandmark_aligned_600.pk
contains 106 2D points. However, we can only generate 5 2D points usingmtcnn
. Could the authors add the code of generating the landmarks in the repo or describe how to generate the landmarks?Thanks.