9 commits

Author	SHA1	Message	Date
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	90a7d4b1e7	fix force_plaidML	2019-03-13 18:30:40 +04:00
iperov	5587c93e01	fix ConverterMasked.py, ... changing requirements changing device.py ENV vars	2019-03-07 19:48:12 +04:00
iperov	c3eea0cf98	upd device.py	2019-03-04 11:17:08 +04:00
iperov	6094e5ead8	added Util.recover_original_aligned_filename	2019-03-04 10:57:44 +04:00
iperov	7db469a1da	fix nnlib/device.py for some notebooks	2019-02-25 21:34:47 +04:00
iperov	ac5ac75645	nnlib added force_has_nvidia_device	2019-02-25 21:15:58 +04:00
iperov	b939fe9d85	OpenCL support: fix bug, adding new requirements files	2019-02-19 20:48:39 +04:00
iperov	72ba6b103c	added support of AMD videocards ... added Intel's plaidML backend to use OpenCL engine. Check new requirements. smart choosing of backend in device.py env var 'force_plaidML' can be choosed to forced using plaidML all tf functions transferred to pure keras MTCNN transferred to pure keras, but it works slow on plaidML (forced to CPU in this case) default batch size for all models and VRAMs now 4, feel free to adjust it on your own SAE: default style options now ZERO, because there are no best values for all scenes, set them on your own. SAE: return back option pixel_loss, feel free to enable it on your own. SAE: added option multiscale_decoder default is true, but you can disable it to get 100% same as H,DF,LIAEF model behaviour. fix converter output to .png added linux fork reference to doc/doc_build_and_repository_info.md	2019-02-19 17:33:12 +04:00