iperov
6c944d8989
upd readme
2019-02-11 21:26:51 +04:00
iperov
4ffb74fb79
upd some help in models
2019-02-11 17:20:13 +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
f8e63970d2
H64, H128, DF, LIAEF128: added pixel loss option.
2019-02-11 12:05:54 +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
ea7c65c4e5
upd ModelBase.py
2019-02-07 22:38:31 +04:00
iperov
a65b557b0e
loss history with epoch now saves to preview history images
2019-02-07 22:34:51 +04:00
iperov
ea7a2456c5
upgrading to numpy==1.16.1, fix ConverterMasked
2019-02-07 11:27:43 +04:00
iperov
0c1638e168
fix strange opencv behaviour with border_transparent
2019-02-07 11:14:41 +04:00
iperov
5a1fb199f4
added support of non-english characters in paths
2019-02-05 19:33:55 +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
1e7a0836f7
nothing interesting
2019-01-24 21:28:54 +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
b6c4171ea1
optimizations of nnlib and SampleGeneratorFace,
...
refactorings
2019-01-22 11:52:04 +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
22401cecfc
fix H128
2019-01-15 17:52:54 +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
1f2b1481ef
now you can train models on multiple GPU's on same workspace without cloning any folders.
...
Model files names will be prefixed with GPU index if GPU choosed explicitly on train/convert start.
if you leave GPU idx choice default, then best GPU idx will be choosed and model file names will not contain index prefix.
It gives you possibility to train same fake with various models or options on multiple GPUs.
H64 and H128: now you can choose 'Lighter autoencoder'. It is same as vram gb <= 4 before this update.
added archived_models.zip contains old experiments
RecycleGAN: archived
devicelib: if your system has no NVML installed (some old cards), then it will work with gpu_idx=0 as 'Generic GeForce GPU' with 2GB vram.
refactorings
2019-01-14 10:48:23 +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
2473dabf37
fix loss history
2019-01-11 19:19:29 +04:00
iperov
e6fa021c3d
fix prompt override model settings in convert mode
2019-01-11 11:29:18 +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
bd2b575718
fix ModelBase.py
2019-01-10 19:38:31 +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
1e28ae24b1
Fix bug in ConverterMasked when overexposed pixels appear sometimes
2019-01-09 13:57:26 +04:00
iperov
faa8cebc98
fix 'raw' mode in ConverterMasked
2019-01-09 13:40:33 +04:00
iperov
42f0e438f3
added 'raw' mode to convertermasked
2019-01-09 13:35:10 +04:00
iperov
1c601dce4a
fix converter bug when blur size == 0
2019-01-09 12:10:29 +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
e8620919a7
update devicelib/nnlib to detect compute capability
2019-01-08 10:48:06 +04:00
