Commit graph

545 commits

Author SHA1 Message Date
iperov
d8c1e2e58b change help for apply_random_ct option 2019-05-07 10:47:29 +04:00
iperov
809cc14860 fix 2019-05-06 16:27:18 +04:00
iperov
d9c2e96f01 fix 2019-05-06 12:52:47 +04:00
iperov
a805f81142 SAE: added test option: 'Apply random color transfer to src faceset' 2019-05-06 11:34:56 +04:00
iperov
bde700243c fix for plaidML 2019-05-05 19:22:26 +04:00
iperov
35ab63f752 add launch prog by timer repeatedly for colab 2019-05-05 17:05:03 +04:00
iperov
b50220a7d1 upd doc 2019-05-03 08:54:07 +04:00
iperov
37ca4281f3 _ 2019-05-02 09:27:28 +04:00
iperov
f26267fddf sae: upd help 2019-05-02 09:06:22 +04:00
iperov
54fa75aa13 fix 2019-05-02 00:39:18 +04:00
iperov
6dc1d43fe9 fix 2019-05-01 20:03:15 +04:00
iperov
9577c2d254 fix 2019-05-01 19:59:43 +04:00
iperov
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
iperov
659aa5705a _ 2019-04-30 17:14:02 +04:00
iperov
1f1f94848b cleaning 2019-04-30 07:46:49 +04:00
iperov
efb22ecce0 5 secs for override settings for colab 2019-04-30 07:32:15 +04:00
iperov
b16c745f1f upd manuals 2019-04-29 08:34:04 +04:00
iperov
5eaf3eb500 fix 3rd pass extractor hang on AMD 8+ core processors 2019-04-28 23:40:26 +04:00
iperov
2cd028fb67 _ 2019-04-28 21:16:27 +04:00
iperov
7140ee8684 Converter: fixed degrade color power after 'lct' 2019-04-28 19:34:56 +04:00
iperov
ab714dfbfe _ 2019-04-28 16:29:32 +04:00
iperov
7c50003ec7 fix 2019-04-28 15:13:12 +04:00
iperov
35e1bceeb4 update numpy ver 2019-04-27 18:37:46 +04:00
iperov
836693d64f added option 'Choose image for the preview history? (y/n skip:' 2019-04-27 10:03:54 +04:00
iperov
9e05e58ac4 _ 2019-04-26 21:43:43 +04:00
iperov
f89200d236 nothing interesting 2019-04-26 15:18:48 +04:00
iperov
0e088f6415 _ 2019-04-25 14:46:39 +04:00
iperov
c0a63addd4 SampleGeneratorFace optimizations 2019-04-24 21:27:05 +04:00
iperov
9535a657d2 SAE: revert back CA weights option 2019-04-24 13:44:12 +04:00
iperov
0cd8dd7296 upd comment 2019-04-24 11:41:10 +04:00
iperov
b6711b97a3 SAE added CA weights 2019-04-24 11:38:45 +04:00
iperov
60ed56a801 upd dev_poseestimator 2019-04-24 11:33:11 +04:00
iperov
947feac047 refactorings 2019-04-24 11:28:58 +04:00
iperov
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
iperov
d62785ca5a _ 2019-04-24 00:36:09 +04:00
iperov
33a45ec531 revert docs 2019-04-23 18:36:40 +04:00
iperov
747e39145e _ 2019-04-23 18:34:00 +04:00
iperov
ea7ec74721 change help for batch size 2019-04-23 18:31:12 +04:00
iperov
385d5dabbf remove df-s and liae-s 2019-04-23 18:28:17 +04:00
iperov
2809d495c2 _ 2019-04-23 17:31:58 +04:00
iperov
268b402513 _ 2019-04-23 17:03:53 +04:00
iperov
47f9bad42b SAE: df-s liae-s archis 2019-04-23 17:03:30 +04:00
iperov
8969e80275 _ 2019-04-23 14:07:38 +04:00
iperov
565c131b97 SAE: removed option 'remove gray border', because it makes the model very resource intensive 2019-04-23 08:31:13 +04:00
iperov
832ea90a5f missing file 2019-04-23 08:20:43 +04:00
iperov
e58197ca22 initial code to extract umdfaces.io dataset and train pose estimator 2019-04-23 08:14:09 +04:00
iperov
51a917facc back to 100* loss 2019-04-22 10:42:17 +04:00
iperov
cd2767cca0 SAE: back to batchnormalization 2019-04-22 10:28:01 +04:00
iperov
3aef9a507b fix 2019-04-22 00:52:16 +04:00
iperov
44aa530fda multiple preview file support for colab 2019-04-22 00:49:50 +04:00