Commit Graph

67 Commits

Author SHA1 Message Date
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 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 a3df04999c removing trailing spaces 2019-03-19 23:53:27 +04:00
iperov d71a310fd7 SAE: forgot to remove normalizing from tanh 2019-03-17 13:03:49 +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 58763756f5 SAE: removed simple_optimizer . Added optimizer mode for tensorflow only (NVIDIA cards), allows to train x2-x3 bigger networks with normal Adam optimizer, consuming VRAM and CPU power. 2019-03-13 11:54:17 +04:00
iperov 97b6fabaab change 'epoch' to 'iter',
added timestamp prefix to training string
2019-03-12 19:23:52 +04:00
iperov 46ff33bf89 SAE: dssim kernel size now depends on resolution 2019-03-12 09:49:40 +04:00
iperov fd3b9add2f SAE: added option "simple optimizer" allows to train bigger networks on same VRAM
nnlib: added DFLOptimizer is my own optimizer
2019-03-12 09:32:35 +04:00
iperov 3bad8dd8ec fix 2019-03-11 21:53:28 +04:00
iperov ee8dbcbc35 revert back Adam 2019-03-11 21:52:36 +04:00
iperov e4637336ef added ability to save optimizers states which work with K.function,
added custom Adam that can save 'iterations' param
2019-03-11 18:23:01 +04:00
iperov 714d4f0fca small fix 2019-03-03 16:42:13 +04:00
iperov 31c2298b5f Converter: added option for seamless to supress jittering,
Lenx,leny region now averaged by grayscale gradients,
now uses all CPU.
SAE: multiscale_decoder option default = False
update readme and manual_ru.pdf
2019-03-03 15:33:52 +04:00
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