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ginogini
(DeepFaker)
DeepFaker

Registration Date: 06-25-2019
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Local Time: 09-16-2019 at 05:06 PM
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RE: DeepFaceLab Explained and Usage Tutorial 3
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DeepFaceLab Explained and Usage Tutorial Guides and Tutorials
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(09-08-2019, 02:07 PM)joelatoundra Wrote: You are not allowed to view links. Register or Login to view.Someone can explain me difference between FAN-dst and learned*FAN-dst ?

thank you

Mask mode: (1) learned, (2) dst, (3) FAN-prd, (4) FAN-dst (?) help. Default - 1 : 
Learned – Learned mask, if you choose option 'Learn mask' in model. The contours are fairly smooth, but can be wobbly.
Dst – raw mask from dst face, wobbly contours.
FAN-prd – mask from pretrained FAN model from predicted face. Very smooth not shaky countours.
FAN-dst – mask from pretrained FAN model from dst face. Very smooth not shaky countours.
Advantages of FAN mask: you can get a not wobbly shaky without learning it by model.
Disadvantage of FAN mask: may produce artifacts on the contours if the face is obstructed.

As you can read in the DPFKS guide:

(1) Learned - If you selecting "learn mask" during the training process, you can use this especially if you used the "edit mask" feature to manually mask obstructions or anything in your data_src faceset.

(2) dst - Convert using the mask from the data_dst faceset (I think this is how it works).

(3) FAN-prd, (4) FAN-dst, (5) FAN-prd*FAN-dst, (6) learned*FAN-prd*FAN-dst - all these options use pretrained models. Any FAN-x model will handle obstructions based on a pre-tained FANSEG model. Honestly, I don't know the exact details of each model. Play with each setting to see what works the best for you.

I use either (1) learned (if no obstructions of face in video), or (4) FAN-dst if obstructions and I want the video faster, or (6) learned*FAN-prd*FAN-dst if I don't care how long it takes to convert.

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