Good morning! New to DeepFakes and FaceSwap.py in general. I have a couple questions and was hoping to hear from others in the community about them.
1). Will I ever get convergence?
--- Context: Face A has 7000 images, with multiple light sources and 100's of images from every direction including deep side and up/down. Face B has 2400 images with multiple light sources and not as many as face A side to side/up to down but has a decent amount. Knowing the above, should I expect convergence? To clarify, convergence is when I watch the sample images and none of the swapped faces are blurry, right?
2). Iterations for Original/Villain
--- I've read the other threads and know to use my eyes more than iterations or the graph, but I also read I should expect at least 400k iterations for original before convergence becomes a reality. Is this soft limit still in place? If not, are my eyes the true guiding light, when I see no blurry images from A->B in the sample/preview pane?
3). What type of monster machine is needed to run Villain on > 8 batch size?
--- Looking for more of "what you run and how you run it" in a response here. My main gaming rig is a 64 core AMD Threadripper with an nVidia Titan V. I can run 5k games with no problem, cruch ETH mining at 110MH/s with the unclocked Titan V rails and yet Villain will only run at batch size 8. Any larger and it will OOM me. Is this a VRAM size thing? The titan V has 12 GB of vram so I should be able to do batch sizes of 16 right? Why then does it cop out under that?
Thanks for your time reading this thread!