Commit graph

92 commits

Author SHA1 Message Date
iperov
438213e97c manual extractor: increased FPS,
sort by final : now you can specify target number of images,
converter: fix seamless mask and exception,
huge refactoring
2019-02-28 11:56:31 +04:00
iperov
65752e044b SAE: added support 64-256 resolution multiple of 16 2019-02-21 20:44:55 +04:00
iperov
a858732b1d refactoring 2019-02-21 20:06:04 +04:00
iperov
97685ce0ae added saving model_summary.txt 2019-02-21 19:55:44 +04:00
iperov
f0a20b46d3 SAE: added new archi 'vg' 2019-02-21 17:53:59 +04:00
iperov
72ba6b103c added support of AMD videocards
added Intel's plaidML backend to use OpenCL engine. Check new requirements.
smart choosing of backend in device.py
env var 'force_plaidML' can be choosed to forced using plaidML
all tf functions transferred to pure keras
MTCNN transferred to pure keras, but it works slow on plaidML (forced to CPU in this case)
default batch size for all models and VRAMs now 4, feel free to adjust it on your own
SAE: default style options now ZERO, because there are no best values for all scenes, set them on your own.
SAE: return back option pixel_loss, feel free to enable it on your own.
SAE: added option multiscale_decoder default is true, but you can disable it to get 100% same as H,DF,LIAEF model behaviour.
fix converter output to .png
added linux fork reference to doc/doc_build_and_repository_info.md
2019-02-19 17:33:12 +04:00
iperov
535041f7bb upd 2019-02-12 10:55:41 +04:00
iperov
429e7e6aee upd nnlib.py 2019-02-12 09:30:38 +04:00
iperov
6c944d8989 upd readme 2019-02-11 21:26:51 +04:00
iperov
470fb9287a SAE: remove rare sample booster. DSSIM->MSE transition now between 5-20k epochs. 2019-02-11 17:18:01 +04:00
iperov
af3dd59f67 SAE: remove multiscale decoder option, default - true 2019-02-11 10:36:02 +04:00
iperov
854ab11de3 fix bug with samples that were not clipped after tanh-untanh transformations, upd README.md 2019-02-10 10:45:51 +04:00
iperov
51a13c90d1 SAE: you have to restart training,
added multiscale decoder as option.
mask now training as not multiscaled
2019-02-09 20:33:26 +04:00
iperov
4d37fd62cd fix DFLJPG,
SAE: added "rare sample booster"
SAE: pixel loss replaced to smooth transition from DSSIM to PixelLoss in 15k epochs by default
2019-02-09 18:53:37 +04:00
iperov
c3b6330284 SAE: now asking face_type after resolution 2019-02-05 15:00:27 +04:00
iperov
883da4b9ed fix Util.py, SAE: lowest ae dims now can be 32 (for testing) 2019-02-05 14:43:54 +04:00
iperov
241ae83e0b upd readme 2019-02-05 13:27:18 +04:00
iperov
707313eb47 SAE+ConverterMasked now offer default values such as mode, erode, blur, values based on model settings. 2019-02-03 21:44:30 +04:00
iperov
e226ab5385 SAE: increased speed of training by 10-18%,
increased clipping border mask in full face mode results better transition of cheeks,
default archi now 'df'
2019-02-03 20:32:46 +04:00
iperov
541d6e1cc9 nothing interesting 2019-01-26 06:50:52 +04:00
iperov
e5b14672ee SAE: upd help for new 'pixel loss' option 2019-01-25 10:02:30 +04:00
iperov
ef3cf392c5 SAE: added pixel loss option. 2019-01-25 09:56:40 +04:00
iperov
7f4d261a99 change SAE help message 2019-01-22 18:31:00 +04:00
iperov
6d7c56309d SAE: removed adaptive kernel size. No backward compatibility. 2019-01-22 13:30:38 +04:00
iperov
fe66b6b2a1 SAE: added 'learn mask' option, default:Y,
SAE: added clipping mask at borders to remove artifact lines.
2019-01-19 16:15:49 +04:00
iperov
dd10d963d1 SAE: upd default params, upd readme 2019-01-19 08:58:25 +04:00
iperov
946688567d enhanced SAE model. You should to restart training.
new default style power = 2.0
fix DF default batch sizes.
upd readme
2019-01-17 21:41:40 +04:00
iperov
ba06a71fff SAE: changed default style power to 10.0 . Now style power is floating number in valid range 0.0 to 100.0 2019-01-14 21:24:33 +04:00
iperov
b68612e6cd SAE: 'adaptive kernel size' now as an option 2019-01-13 10:03:01 +04:00
iperov
46aa61050a improvement SAE model. New option added. You should to restart training. 2019-01-12 10:10:50 +04:00
iperov
32f0db3dea fix and upd readme 2019-01-11 06:19:15 +04:00
iperov
e39d1a2619 fixes 2019-01-10 23:01:33 +04:00
iperov
f82bc7031e fix SAE 2019-01-10 19:29:17 +04:00
iperov
bf5282f7ec if you have multi GPU in a system, you can choose what GPU to use on model start 2019-01-10 19:22:54 +04:00
iperov
48d0123f0b SAE: new options face_style_power, bg_style_power instead of style_power. Zero - means dont use style.
SAE: new option 'lighter_encoder'.
Now model settings can be overrided by pressing enter in 2 seconds while model loading (works on Windows).
Removed all MultiGPU models, because keras multi_gpu in fact doesn't work.
2019-01-10 18:28:12 +04:00
iperov
00d7a3ab4d sae: removing mask in preview window 2019-01-09 11:24:58 +04:00
iperov
e300662f89 SAE: added options archi, learn_face_style , learn_bg_style, style_power 2019-01-09 10:51:31 +04:00
iperov
0c3559d2dd fix sae 2019-01-09 10:46:12 +04:00
iperov
1a2555e160 added '?' help for model options. Added 'Src face scale modifier' to model options. 2019-01-09 09:22:22 +04:00
iperov
75f7a9575a SAE: changed base erode/blur mask size for converter 2019-01-07 17:46:50 +04:00
iperov
3b0b1a7dec removed UFM model,
added 'random_flip' option to all models, by default - true
2019-01-06 19:59:53 +04:00
iperov
8e1d337e00 added new SAE model - Styled AutoEncoder 2019-01-05 09:57:49 +04:00