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Hi Oeslle,
Great work with FASNet! However, I tried running the model with some test images, and they always seem to be detected as fake. After reading your paper carefully, I found this:
In step two(face detection), we first used the OpenFace face detector [35] algorithm to find the region-of-interest (ROI) corresponding to a face. Next, using OpenFace algorithms we cropped to a window sized 96 pixels and aligned the faces to center based on the nose and eyes position.
How can I replicate this procedure for my own test images? Can you possibly share the code used to detect the face, crop the image and center align the images based on nose and eyes position?
The text was updated successfully, but these errors were encountered:
Hi @aakashns , first of all, thank you for ur interesting in our work. I used the OpenFace algorithm, which is open source. I did not change anything in the code.
Hi Oeslle,
Great work with FASNet! However, I tried running the model with some test images, and they always seem to be detected as fake. After reading your paper carefully, I found this:
How can I replicate this procedure for my own test images? Can you possibly share the code used to detect the face, crop the image and center align the images based on nose and eyes position?
The text was updated successfully, but these errors were encountered: