5a9498543d
refactoring
2019-05-09 18:05:50 +04:00
d2011f8c32
upd doc
2019-05-08 09:32:32 +04:00
3555801046
upd docs
2019-05-07 13:09:20 +04:00
d003366033
cleaning
2019-05-07 10:47:51 +04:00
d8c1e2e58b
change help for apply_random_ct option
2019-05-07 10:47:29 +04:00
809cc14860
fix
2019-05-06 16:27:18 +04:00
d9c2e96f01
fix
2019-05-06 12:52:47 +04:00
a805f81142
SAE: added test option: 'Apply random color transfer to src faceset'
2019-05-06 11:34:56 +04:00
bde700243c
fix for plaidML
2019-05-05 19:22:26 +04:00
35ab63f752
add launch prog by timer repeatedly for colab
2019-05-05 17:05:03 +04:00
b50220a7d1
upd doc
2019-05-03 08:54:07 +04:00
37ca4281f3
_
2019-05-02 09:27:28 +04:00
f26267fddf
sae: upd help
2019-05-02 09:06:22 +04:00
54fa75aa13
fix
2019-05-02 00:39:18 +04:00
6dc1d43fe9
fix
2019-05-01 20:03:15 +04:00
9577c2d254
fix
2019-05-01 19:59:43 +04:00
2a8dd788dc
SAE: added option 'Pretrain the model?',
...
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
_
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
_
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 )
...
* test
* _
* _
* upd dev_poseest
* SAE: finally collapses are fixed
* fix batch size help
2019-04-24 09:38:26 +04:00
d62785ca5a
_
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
_
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
_
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
iperov