github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-07 05:22:06 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions
461 commits 3 branches 2 tags 866 MiB
Commit graph

152 commits

Author SHA1 Message Date
iperov
d62785ca5a _ 2019-04-24 00:36:09 +04:00
iperov
747e39145e _ 2019-04-23 18:34:00 +04:00
iperov
ea7ec74721 change help for batch size 2019-04-23 18:31:12 +04:00
iperov
385d5dabbf remove df-s and liae-s 2019-04-23 18:28:17 +04:00
iperov
2809d495c2 _ 2019-04-23 17:31:58 +04:00
iperov
268b402513 _ 2019-04-23 17:03:53 +04:00
iperov
47f9bad42b SAE: df-s liae-s archis 2019-04-23 17:03:30 +04:00
iperov
8969e80275 _ 2019-04-23 14:07:38 +04:00
iperov
565c131b97 SAE: removed option 'remove gray border', because it makes the model very resource intensive 2019-04-23 08:31:13 +04:00
iperov
e58197ca22 initial code to extract umdfaces.io dataset and train pose estimator 2019-04-23 08:14:09 +04:00
iperov
51a917facc back to 100* loss 2019-04-22 10:42:17 +04:00
iperov
cd2767cca0 SAE: back to batchnormalization 2019-04-22 10:28:01 +04:00
iperov
3aef9a507b fix 2019-04-22 00:52:16 +04:00
iperov
44aa530fda multiple preview file support for colab 2019-04-22 00:49:50 +04:00
iperov
f54cc744bd SAE fix model crashes 2019-04-22 00:40:23 +04:00
iperov
5e3bd75007 fix 2019-04-21 22:28:25 +04:00
iperov
16053c4ae6 SAE: revert back to batchnormalization 2019-04-21 22:17:41 +04:00
iperov
093ca4dba6 fix options in ModelBase.py 2019-04-21 21:08:45 +04:00
iperov
63beb3afd2 SAE: revert back df model from prev commit. LIAE should be restarted. 2019-04-21 08:31:05 +04:00
iperov
2cdf2745a2 SAE: model will not work with this update, you should to restart training, 
applied paper https://arxiv.org/abs/1807.01442 https://github.com/aditya-grover/uae
 2019-04-20 22:33:28 +04:00
iperov
7c5f762e78 SAE:fix multiscale decoder 2019-04-20 21:30:40 +04:00
iperov
8e16f4fa1b fix 2019-04-20 16:10:58 +04:00
iperov
3ffdc50576 nothing interesting 2019-04-20 15:22:00 +04:00
iperov
046649e6be
update == 04.20.2019 == (#242) 
* superb improved fanseg

* _

* _

* added FANseg extractor for src and dst faces to use it in training

* -

* _

* _

* update to 'partial' func

* _

* trained FANSeg_256_full_face.h5,
new experimental models: AVATAR, RecycleGAN

* _

* _

* _

* fix for TCC mode cards(tesla), was conflict with plaidML initialization.

* _

* update manuals

* _
 2019-04-20 08:23:08 +04:00
iperov
58d7e990f4 refactorings, added motion blur to SampleProcessor for FANSegmentator trainer 2019-04-07 23:08:00 +04:00
iperov
5ac7e5d7f1 changed help message for pixel loss: 
Pixel loss may help to enhance fine details and stabilize face color. Use it only if quality does not improve over time.

SAE:
previous SAE model will not work with this update.
Greatly decreased chance of model collapse.
Increased model accuracy.
Residual blocks now default and this option has been removed.
Improved 'learn mask'.
Added masked preview (switch by space key)

Converter:
fixed rct/lct in seamless mode
added mask mode (6) learned*FAN-prd*FAN-dst

added mask editor, its created for refining dataset for FANSeg model, and not for production, but you can spend your time and test it in regular fakes with face obstructions
 2019-04-04 10:22:53 +04:00
iperov
01e98cde8e upd pixel_loss help message 2019-03-31 19:21:04 +04:00
iperov
85c01e3b4a Converter: added Apply super resolution? (y/n skip:n) : , Enhance details by applying DCSCN network. 
refactorings
 2019-03-28 21:50:27 +04:00
iperov
3cf3bb786e rename samples to samplelib 2019-03-27 10:44:13 +04:00
iperov
070e938568 colab: final fix for preview filepath 2019-03-26 18:11:33 +04:00
iperov
e8a5a4bf10 _preview.jpg for colab 2019-03-26 17:58:29 +04:00
iperov
6241c8af41 preview file for colab 2019-03-26 17:14:59 +04:00
iperov
b03b147bae refactoring 2019-03-26 11:09:44 +04:00
iperov
131b2b5c79 after save loss string now shows averaged value since last save 2019-03-25 18:14:04 +04:00
iperov
aa58d9e563 SAE: removed lightweight encoder 2019-03-25 10:05:30 +04:00
iperov
54239f8edf sae: optimizer mode now can be overrided 2019-03-24 16:25:30 +04:00
iperov
37505d88e3 old SAE model will not work with this update. 
Fixed bug when SAE can be collapsed during a time.

SAE: removed CA weights and encoder/decoder dims.

added new options:

Encoder dims per channel (21-85 ?:help skip:%d)
More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU.

Decoder dims per channel (11-85 ?:help skip:%d)
More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU.

Add residual blocks to decoder? (y/n, ?:help skip:n) :
These blocks help to get better details, but require more computing time.

Remove gray border? (y/n, ?:help skip:n) :
Removes gray border of predicted face, but requires more computing resources.
 2019-03-24 15:35:02 +04:00
iperov
cbe2ebca7f SAE: removed random normal initialization 2019-03-23 14:57:30 +04:00
iperov
97008291b8 fix 2019-03-20 14:43:02 +04:00
iperov
6169e6ba8a fix fanseg 2019-03-20 09:08:42 +04:00
iperov
a3df04999c removing trailing spaces 2019-03-19 23:53:27 +04:00
iperov
fa4e579b95 fix fanseg 2019-03-19 23:49:41 +04:00
iperov
034ad3cce5 upd fan segmentator 2019-03-19 19:44:14 +04:00
iperov
d71a310fd7 SAE: forgot to remove normalizing from tanh 2019-03-17 13:03:49 +04:00
iperov
1c8845d558 model fansegmentator for developing purposes 2019-03-16 20:57:51 +04:00
iperov
d6a45763a2 SAE: added option "Use CA weights": 
Initialize network with 'Convolution Aware' weights. This may help to achieve a higher accuracy model, but consumes time at first run.
 2019-03-16 12:54:36 +04:00
iperov
5076feb90f SAE: revert back to sigmoid. Trainings must be restarted. 2019-03-16 09:01:11 +04:00
iperov
8da47fec13 fix ModelBase, nnlib 2019-03-13 20:53:59 +04:00
iperov
3375088669 SAE: optimizer_mode option now cannot be overridden by restart 2019-03-13 20:00:16 +04:00
iperov
a9026ccb67 fix ModelBase, nnlib 2019-03-13 19:50:16 +04:00