Commit graph

14 commits

Author SHA1 Message Date
Colombo
b2f9ea8637 fix integer dimensions in model initialization 2020-10-03 22:38:29 +04:00
Colombo
2b7364005d Added new face type : head
Now you can replace the head.
Example: https://www.youtube.com/watch?v=xr5FHd0AdlQ
Requirements:
	Post processing skill in Adobe After Effects or Davinci Resolve.
Usage:
1)	Find suitable dst footage with the monotonous background behind head
2)	Use “extract head” script
3)	Gather rich src headset from only one scene (same color and haircut)
4)	Mask whole head for src and dst using XSeg editor
5)	Train XSeg
6)	Apply trained XSeg mask for src and dst headsets
7)	Train SAEHD using ‘head’ face_type as regular deepfake model with DF archi. You can use pretrained model for head. Minimum recommended resolution for head is 224.
8)	Extract multiple tracks, using Merger:
a.	Raw-rgb
b.	XSeg-prd mask
c.	XSeg-dst mask
9)	Using AAE or DavinciResolve, do:
a.	Hide source head using XSeg-prd mask: content-aware-fill, clone-stamp, background retraction, or other technique
b.	Overlay new head using XSeg-dst mask

Warning: Head faceset can be used for whole_face or less types of training only with XSeg masking.

XSegEditor: added button ‘view trained XSeg mask’, so you can see which frames should be masked to improve mask quality.
2020-04-04 09:28:06 +04:00
Colombo
61472cdaf7 global refactoring and fixes,
removed support of extracted(aligned) PNG faces. Use old builds to convert from PNG to JPG.

fanseg model file in facelib/ is renamed
2020-03-13 08:09:00 +04:00
Colombo
090d4a5be3 fix FANExtractor 2020-02-20 12:20:18 +04:00
Colombo
76ca79216e Upgraded to TF version 1.13.2
Removed the wait at first launch for most graphics cards.

Increased speed of training by 10-20%, but you have to retrain all models from scratch.

SAEHD:

added option 'use float16'
	Experimental option. Reduces the model size by half.
	Increases the speed of training.
	Decreases the accuracy of the model.
	The model may collapse or not train.
	Model may not learn the mask in large resolutions.

true_face_training option is replaced by
"True face power". 0.0000 .. 1.0
Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination.
Comparison - https://i.imgur.com/czScS9q.png
2020-01-25 21:58:19 +04:00
Colombo
38b85108b3 DFL-2.0 initial branch commit 2020-01-21 18:43:39 +04:00
Colombo
64021b9c62 more stable and precise version of face transformation matrix.
fixed bleeding mask on some samples
2019-12-20 10:30:49 +04:00
Colombo
068c7d0d55 temporary revert last fixes 2019-12-20 10:21:59 +04:00
Colombo
dd1d5e8909 improved face align,
More stable and precise version of the face transformation matrix.
Now full_faces are aligned with the upper and lateral boundaries of the frame,
result: fix of cutted mouth, increase area of the cheeks of side faces
before/after https://i.imgur.com/t9IyGZv.jpg
therefore, additional training is required for existing models.
Optionally, you can re-extract dst faces of your project, if they have problems with cutted mouth or cheeks.
2019-12-19 18:33:04 +04:00
Colombo
8035325f92 extractor: fix for amd 2019-10-27 12:47:12 +04:00
Colombo
5a2eefaa5b removed last fix 2019-10-14 20:31:11 +04:00
Colombo
e18b07549b new fix of "fixed bug when the same face could be detected twice" 2019-10-14 20:26:53 +04:00
Colombo
1de1e0029f Extractor now produces a less shaked face. but second pass is now slower by 25%,
before/after: https://imgur.com/L77puLH
2019-10-14 12:09:32 +04:00
Colombo
d9d10f91c2 S3FD and 2DFAN-4 were improperly ported from pytorch. now fixed. 2019-09-20 17:16:37 +04:00
Renamed from facelib/LandmarksExtractor.py (Browse further)