61 commits

Author	SHA1	Message	Date
leno3003	39aa9f91ba	added sumbmodules	2022-03-30 16:15:18 +02:00
leno3003	578c0ea158	added sumbmodules	2022-03-30 16:13:09 +02:00
leno3003	4f7e8b2e49	added sumbmodules	2022-03-30 16:11:46 +02:00
leno3003	d71759d7a0	added sumbmodules	2022-03-30 15:54:43 +02:00
leno3003	a3de74223f	added sumbmodules	2022-03-30 15:53:17 +02:00
leno3003	da42a11521	added sumbmodulesù	2022-03-30 15:37:18 +02:00
leno3003	f0db9cf254	added sumbmodules	2022-03-30 15:31:06 +02:00
leno3003	daa493932f	added sumbmodules	2022-03-30 15:29:32 +02:00
leno3003	c40d7ee52f	added sumbmodules	2022-03-30 15:28:08 +02:00
leno3003	599aca6266	added sumbmodules	2022-03-30 15:06:31 +02:00
leno3003	5267017f7d	added sumbmodules	2022-03-30 15:05:22 +02:00
leno3003	774932a5b0	added sumbmodules	2022-03-30 14:44:24 +02:00
leno3003	a0ecfc063b	added sumbmodules	2022-03-30 14:33:37 +02:00
leno3003	d415f56135	added sumbmodules	2022-03-30 14:32:47 +02:00
leno3003	25f93f313f	added sumbmodules	2022-03-30 14:30:08 +02:00
leno3003	a900a1f02f	added sumbmodules	2022-03-30 14:15:01 +02:00
leno3003	6d68692e74	added sumbmodules	2022-03-30 14:10:30 +02:00
leno3003	d4279606f4	added sumbmodules	2022-03-30 14:04:21 +02:00
leno3003	887286edc5	added sumbmodules	2022-03-30 12:49:01 +02:00
leno3003	dc39e72fb9	added sumbmodules	2022-03-30 12:33:35 +02:00
leno3003	05850a227c	check if pkl exist to apply modifications	2022-03-29 21:23:29 +02:00
leno3003	2995a07f0e	check if pkl exist to apply modifications	2022-03-29 19:06:47 +02:00
leno3003	5918800f14	check if pkl exist to apply modifications	2022-03-29 19:05:55 +02:00
leno3003	788e49b82c	check if pkl exist to apply modifications	2022-03-29 18:21:33 +02:00
leno3003	b9162dfe48	check if pkl exist to apply modifications	2022-03-29 18:16:38 +02:00
leno3003	a2b8f3c5a2	check if pkl exist to apply modifications	2022-03-29 14:25:05 +02:00
leno3003	230d7df17e	check if pkl exist to apply modifications	2022-03-29 14:09:54 +02:00
leno3003	a14bb4ae86	check if pkl exist to apply modifications	2022-03-29 13:10:53 +02:00
leno3003	b3134a99d0	automatized arguments with pickle	2022-03-29 12:26:54 +02:00
leno3003	dee168e5a6	automatized arguments with pickle	2022-03-28 22:43:24 +02:00
leno3003	afd87df67a	automatized arguments with pickle	2022-03-28 18:30:15 +02:00
leno3003	401030b7b0	automatized arguments with pickle	2022-03-28 17:13:14 +02:00
leno3003	21024c64ad	automatized arguments with pickle	2022-03-28 17:03:36 +02:00
leno3003	05ebcfdef2	automatized arguments with pickle	2022-03-28 16:21:54 +02:00
leno3003	e09e1f166d	automatized arguments with pickle	2022-03-28 16:18:15 +02:00
leno3003	688b3e1567	automatized arguments with pickle	2022-03-28 15:54:06 +02:00
Colombo	3283dce96a	interact: change to waitKeyEx	2020-07-03 18:43:18 +04:00
Colombo	ddb6bcf416	fix	2020-06-24 11:44:24 +04:00
Colombo	2b8e8f0554	.	2020-06-20 22:05:30 +04:00
Colombo	0c2e1c3944	SAEHD: ... Maximum resolution is increased to 640. ‘hd’ archi is removed. ‘hd’ was experimental archi created to remove subpixel shake, but ‘lr_dropout’ and ‘disable random warping’ do that better. ‘uhd’ is renamed to ‘-u’ dfuhd and liaeuhd will be automatically renamed to df-u and liae-u in existing models. Added new experimental archi (key -d) which doubles the resolution using the same computation cost. It is mean same configs will be x2 faster, or for example you can set 448 resolution and it will train as 224. Strongly recommended not to train from scratch and use pretrained models. New archi naming: 'df' keeps more identity-preserved face. 'liae' can fix overly different face shapes. '-u' increased likeness of the face. '-d' (experimental) doubling the resolution using the same computation cost Examples: df, liae, df-d, df-ud, liae-ud, ... Improved GAN training (GAN_power option). It was used for dst model, but actually we don’t need it for dst. Instead, a second src GAN model with x2 smaller patch size was added, so the overall quality for hi-res models should be higher. Added option ‘Uniform yaw distribution of samples (y/n)’: Helps to fix blurry side faces due to small amount of them in the faceset. Quick96: Now based on df-ud archi and 20% faster. XSeg trainer: Improved sample generator. Now it randomly adds the background from other samples. Result is reduced chance of random mask noise on the area outside the face. Now you can specify ‘batch_size’ in range 2-16. Reduced size of samples with applied XSeg mask. Thus size of packed samples with applied xseg mask is also reduced.	2020-06-19 09:45:55 +04:00
Colombo	2fe86faf01	fix Win10 input dialog	2020-04-02 10:27:39 +04:00
Colombo	61472cdaf7	global refactoring and fixes, ... removed support of extracted(aligned) PNG faces. Use old builds to convert from PNG to JPG. fanseg model file in facelib/ is renamed	2020-03-13 08:09:00 +04:00
Colombo	cbff72f597	_	2020-02-29 15:53:48 +04:00
Colombo	6d122fd742	_	2020-02-29 15:50:17 +04:00
Colombo	516e23584e	_	2020-02-29 15:48:31 +04:00
Colombo	803f7f9717	_	2020-02-29 15:40:11 +04:00
Colombo	b093112f2f	_	2020-02-29 15:39:43 +04:00
Colombo	a21c55cf25	_	2020-02-29 15:36:37 +04:00
Colombo	f55a65c304	_	2020-02-29 15:34:27 +04:00
Colombo	55162d6e6c	_	2020-02-29 15:32:36 +04:00