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Author	SHA1	Message	Date
iperov	a0c1ce3e7e	final sort: increased speed	2019-03-19 13:45:26 +04:00
iperov	33606e327b	fixed landmark extraction of face with opened mouth	2019-03-19 00:23:52 +04:00
iperov	7c1ea1a617	removing dflimg image_to_face_mat	2019-03-18 14:42:10 +04:00
iperov	5d819e3e83	upd manual_ru	2019-03-18 11:49:01 +04:00
iperov	00c6a0cdaf	accurate landmarks extraction now as an option	2019-03-18 11:24:41 +04:00
iperov	bf831331e6	fix	2019-03-18 10:58:03 +04:00
iperov	da7cf225db	fix	2019-03-18 10:38:48 +04:00
iperov	b8efb4cbba	enhancing landmarks extractor by using s3fd second pass inside second pass, ... it will be x2 slower, but time will be saved due to more images will be marked properly works on 2GB+	2019-03-18 10:25:24 +04:00
iperov	1d56585f33	fix ability for auto re-extract dst faces, after this update DFL torrent extractor scripts will not work.	2019-03-18 01:12:04 +04:00
iperov	b03d62a29b	extractor: added ability to re-extract dst faces with transferring all necessary meta data	2019-03-18 00:43:07 +04:00
iperov	00e56299c4	S3FD: wrong small face check fix	2019-03-18 00:30:08 +04:00
iperov	2b40fa182f	fix	2019-03-17 23:50:18 +04:00
iperov	a71defc69a	removing fail solutions	2019-03-17 23:47:14 +04:00
iperov	c311f09fa4	_	2019-03-17 21:14:24 +04:00
iperov	73e91cc0b5	upd LandmarksProcessor.py	2019-03-17 21:14:05 +04:00
iperov	7aebfa3f7f	added AdaBound	2019-03-17 19:17:44 +04:00
iperov	a7bec17a34	_	2019-03-17 16:24:36 +04:00
iperov	d71a310fd7	SAE: forgot to remove normalizing from tanh	2019-03-17 13:03:49 +04:00
iperov	4ff88865ce	refactoring	2019-03-16 21:29:56 +04:00
iperov	f009edae79	FANSegmentator for developing	2019-03-16 20:58:20 +04:00
iperov	1c8845d558	model fansegmentator for developing purposes	2019-03-16 20:57:51 +04:00
iperov	f3b343c0e5	small fixed and refactorings	2019-03-16 20:55:51 +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	71ff0ce1a7	nothing interesting	2019-03-16 09:22:00 +04:00
iperov	7c66503382	sorter: fix final sort	2019-03-16 09:20:55 +04:00
iperov	5076feb90f	SAE: revert back to sigmoid. Trainings must be restarted.	2019-03-16 09:01:11 +04:00
iperov	ea5fe28d08	fix final sorter	2019-03-15 23:41:34 +04:00
iperov	a8c987fa0f	fix performance issue	2019-03-15 11:50:13 +04:00
iperov	4ffae1a954	fix performance issue	2019-03-15 11:48:38 +04:00
iperov	3549272244	fix for final	2019-03-15 11:03:37 +04:00
iperov	1beb2f07f0	fix get_image_hull_mask	2019-03-14 15:43:10 +04:00
iperov	9823421a44	added transparent mask to draw_landmarks	2019-03-14 12:16:21 +04:00
iperov	5bd3f875fa	fix	2019-03-14 10:50:53 +04:00
iperov	6e59f1a150	Sorter: new better blur estimator	2019-03-14 10:38:56 +04:00
iperov	296e8a111a	fix for Linux	2019-03-14 05:08:15 +04:00
iperov	62af1b6f16	S3FD : filtering faces < 40pix.	2019-03-14 01:23:39 +04:00
iperov	8da47fec13	fix ModelBase, nnlib	2019-03-13 20:53:59 +04:00
iperov	da0fc2d2e1	update manual_ru	2019-03-13 20:03:46 +04:00
iperov	3375088669	SAE: optimizer_mode option now cannot be overridden by restart	2019-03-13 20:00:16 +04:00
iperov	a9026ccb67	fix ModelBase, nnlib	2019-03-13 19:50:16 +04:00
iperov	90a7d4b1e7	fix force_plaidML	2019-03-13 18:30:40 +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
Luke Barr	7d6ca32250	Raise python minimum version (#190)	2019-03-13 09:56:07 +04:00
iperov	3c6775bae7	fix ModelBase.py	2019-03-12 23:22:58 +04:00
iperov	aaf7ecd595	update manual_ru	2019-03-12 21:27:37 +04:00
iperov	97b6fabaab	change 'epoch' to 'iter', ... added timestamp prefix to training string	2019-03-12 19:23:52 +04:00
iperov	69174a48e0	fix DFLOptimizer	2019-03-12 16:56:59 +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