9577c2d254
fix
2019-05-01 19:59:43 +04:00
2a8dd788dc
SAE: added option 'Pretrain the model?',
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Pretrain the model with large amount of various faces. This technique may help to train the fake with overly different face shapes and light conditions of src/dst data. Face will be look more like a morphed. To reduce the morph effect, some model files will be initialized but not be updated after pretrain: LIAE: inter_AB.h5 DF: both decoders.h5. The longer you pretrain the model the more morphed face will look. After that, save and run the training again.
2019-05-01 19:55:27 +04:00
659aa5705a
_
2019-04-30 17:14:02 +04:00
1f1f94848b
cleaning
2019-04-30 07:46:49 +04:00
efb22ecce0
5 secs for override settings for colab
2019-04-30 07:32:15 +04:00
b16c745f1f
upd manuals
2019-04-29 08:34:04 +04:00
5eaf3eb500
fix 3rd pass extractor hang on AMD 8+ core processors
2019-04-28 23:40:26 +04:00
2cd028fb67
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2019-04-28 21:16:27 +04:00
7140ee8684
Converter: fixed degrade color power after 'lct'
2019-04-28 19:34:56 +04:00
ab714dfbfe
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2019-04-28 16:29:32 +04:00
7c50003ec7
fix
2019-04-28 15:13:12 +04:00
35e1bceeb4
update numpy ver
2019-04-27 18:37:46 +04:00
836693d64f
added option 'Choose image for the preview history? (y/n skip:'
2019-04-27 10:03:54 +04:00
9e05e58ac4
_
2019-04-26 21:43:43 +04:00
f89200d236
nothing interesting
2019-04-26 15:18:48 +04:00
0e088f6415
_
2019-04-25 14:46:39 +04:00
c0a63addd4
SampleGeneratorFace optimizations
2019-04-24 21:27:05 +04:00
9535a657d2
SAE: revert back CA weights option
2019-04-24 13:44:12 +04:00
0cd8dd7296
upd comment
2019-04-24 11:41:10 +04:00
b6711b97a3
SAE added CA weights
2019-04-24 11:38:45 +04:00
60ed56a801
upd dev_poseestimator
2019-04-24 11:33:11 +04:00
947feac047
refactorings
2019-04-24 11:28:58 +04:00
e1da9c56b4
SAE collapse fix ( #245 )
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* test
* _
* _
* upd dev_poseest
* SAE: finally collapses are fixed
* fix batch size help
2019-04-24 09:38:26 +04:00
d62785ca5a
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2019-04-24 00:36:09 +04:00
33a45ec531
revert docs
2019-04-23 18:36:40 +04:00
747e39145e
_
2019-04-23 18:34:00 +04:00
ea7ec74721
change help for batch size
2019-04-23 18:31:12 +04:00
385d5dabbf
remove df-s and liae-s
2019-04-23 18:28:17 +04:00
2809d495c2
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2019-04-23 17:31:58 +04:00
268b402513
_
2019-04-23 17:03:53 +04:00
47f9bad42b
SAE: df-s liae-s archis
2019-04-23 17:03:30 +04:00
8969e80275
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2019-04-23 14:07:38 +04:00
565c131b97
SAE: removed option 'remove gray border', because it makes the model very resource intensive
2019-04-23 08:31:13 +04:00
832ea90a5f
missing file
2019-04-23 08:20:43 +04:00
e58197ca22
initial code to extract umdfaces.io dataset and train pose estimator
2019-04-23 08:14:09 +04:00
51a917facc
back to 100* loss
2019-04-22 10:42:17 +04:00
cd2767cca0
SAE: back to batchnormalization
2019-04-22 10:28:01 +04:00
3aef9a507b
fix
2019-04-22 00:52:16 +04:00
44aa530fda
multiple preview file support for colab
2019-04-22 00:49:50 +04:00
f54cc744bd
SAE fix model crashes
2019-04-22 00:40:23 +04:00
5e3bd75007
fix
2019-04-21 22:28:25 +04:00
16053c4ae6
SAE: revert back to batchnormalization
2019-04-21 22:17:41 +04:00
bef03eec81
_
2019-04-21 21:15:39 +04:00
f6d49de33b
_
2019-04-21 21:14:01 +04:00
093ca4dba6
fix options in ModelBase.py
2019-04-21 21:08:45 +04:00
63beb3afd2
SAE: revert back df model from prev commit. LIAE should be restarted.
2019-04-21 08:31:05 +04:00
2cdf2745a2
SAE: model will not work with this update, you should to restart training,
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applied paper https://arxiv.org/abs/1807.01442 https://github.com/aditya-grover/uae
2019-04-20 22:33:28 +04:00
7c5f762e78
SAE:fix multiscale decoder
2019-04-20 21:30:40 +04:00
242b850245
fix bgr_shuffle randomizer
2019-04-20 18:05:11 +04:00
dcbdc79e84
fix for plaidML
2019-04-20 17:29:50 +04:00
iperov