faceswap-GAN
faceswap-GAN copied to clipboard
shaoanlu
1 & a half day of training...
Why the new face looks so out of place? (i'm very glad with the color correction).
https://www.youtube.com/watch?v=sKhBkUVeFyQ
You can increase the coverage of bounding box. In section 13, def process_video(input_img), there are some hard coded values for ROI adjustment: h//15 and w//15. To increase the coverage, we simply flip the positive/negative sign before w//15 and h//15. e.g., x0+h//15 becomes x0-h//15 and so on.
But be careful, don't modify the w//15 and h//15 in def get_mask(roi_image, h, w).
I'm working on a more elegant method to address the out of place problem. However I can not reproduce such issue on my dataset so it's progressing slowly...
Check your google mail, i send you (complete data set + Input Video) so you can reproduce the problem.
