github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-06 21:12:07 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions
529 commits 3 branches 2 tags 866 MiB
Commit graph

179 commits

Author SHA1 Message Date
Josh Johnson
e2bc65d5f0 Fix issue with RTX GPU and TensorFlow (#322) 
An issue affecting at least 2070 and 2080 cards (possibly other RTX cards too) requires auto growth to be enabled for TensorFlow to work.

I don't know enough about the impact of this change to know whether this ought to be made optional or not, but for RTX owners, this simple change fixes TensorFlow errors when generating models.
 2019-08-02 16:40:41 +04:00
fakerdaker
582c974851 Colab choose random preview (#316) 2019-07-25 11:29:31 +04:00
iperov
8484060e01 Trainer: added option for all models 
Enable autobackup? (y/n ?:help skip:%s) :
Autobackup model files with preview every hour for last 15 hours. Latest backup located in model/<>_autobackups/01

SAE: added option only for CUDA builds:
Enable gradient clipping? (y/n, ?:help skip:%s) :
Gradient clipping reduces chance of model collapse, sacrificing speed of training.
 2019-06-20 10:42:55 +04:00
Jakob6174
ea1d59f620 Update ModelBase.py (#283) 
Typo: 'NotImplementeError' --> 'NotImplementedError'
 2019-06-19 13:02:19 +04:00
iperov
66a12a973a fix choosing preview image on options override 2019-05-14 17:00:25 +04:00
iperov
d6e8dde481 'sort by yaw' option now can be overriden each run 2019-05-14 09:33:53 +04:00
iperov
39809ff7dc upd 2019-05-11 16:15:16 +04:00
iperov
6143962248 SAE: option apply_random_ct now True by default 2019-05-10 19:50:19 +04:00
iperov
5a9498543d refactoring 2019-05-09 18:05:50 +04:00
iperov
d2011f8c32 upd doc 2019-05-08 09:32:32 +04:00
iperov
d8c1e2e58b change help for apply_random_ct option 2019-05-07 10:47:29 +04:00
iperov
a805f81142 SAE: added test option: 'Apply random color transfer to src faceset' 2019-05-06 11:34:56 +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
efb22ecce0 5 secs for override settings for colab 2019-04-30 07:32:15 +04:00
iperov
2cd028fb67 _ 2019-04-28 21:16:27 +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
0e088f6415 _ 2019-04-25 14:46:39 +04:00
iperov
9535a657d2 SAE: revert back CA weights option 2019-04-24 13:44:12 +04:00
iperov
b6711b97a3 SAE added CA weights 2019-04-24 11:38:45 +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
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
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
iperov
f54cc744bd SAE fix model crashes 2019-04-22 00:40:23 +04:00
iperov
5e3bd75007 fix 2019-04-21 22:28:25 +04:00
iperov
16053c4ae6 SAE: revert back to batchnormalization 2019-04-21 22:17:41 +04:00
iperov
093ca4dba6 fix options in ModelBase.py 2019-04-21 21:08:45 +04:00
iperov
63beb3afd2 SAE: revert back df model from prev commit. LIAE should be restarted. 2019-04-21 08:31:05 +04:00
iperov
2cdf2745a2 SAE: model will not work with this update, you should to restart training, 
applied paper https://arxiv.org/abs/1807.01442 https://github.com/aditya-grover/uae
 2019-04-20 22:33:28 +04:00
iperov
7c5f762e78 SAE:fix multiscale decoder 2019-04-20 21:30:40 +04:00
iperov
8e16f4fa1b fix 2019-04-20 16:10:58 +04:00
iperov
3ffdc50576 nothing interesting 2019-04-20 15:22:00 +04:00