Commit graph

5 commits

Author SHA1 Message Date
Colombo
7ed38a8097 Converter:
Session is now saved to the model folder.

blur and erode ranges are increased to -400+400

hist-match-bw is now replaced with seamless2 mode.

Added 'ebs' color transfer mode (works only on Windows).

FANSEG model (used in FAN-x mask modes) is retrained with new model configuration
and now produces better precision and less jitter
2019-09-07 13:57:42 +04:00
iperov
63d30c49ae fixes and optimizations,
converters: added new option sharpen_mode and sharpen_amount
2019-08-25 19:18:51 +04:00
iperov
c39ed9d9c9 updated pdf manuals for AVATAR model.
Avatar converter: added super resolution option.
All converters: super resolution DCSCN network is now replaced by RankSRGAN
2019-08-25 17:43:52 +04:00
iperov
b572b8f4d4 fix ConverterConfig 2019-08-25 00:30:05 +04:00
iperov
407ce3b1ca Added interactive converter.
With interactive converter you can change any parameter of any frame and see the result in real time.

Converter: added motion_blur_power param.
Motion blur is applied by precomputed motion vectors.
So the moving face will look more realistic.

RecycleGAN model is removed.

Added experimental AVATAR model. Minimum required VRAM is 6GB (NVIDIA), 12GB (AMD)
Usage:
1) place data_src.mp4 10-20min square resolution video of news reporter sitting at the table with static background,
   other faces should not appear in frames.
2) process "extract images from video data_src.bat" with FULL fps
3) place data_dst.mp4 video of face who will control the src face
4) process "extract images from video data_dst FULL FPS.bat"
5) process "data_src mark faces S3FD best GPU.bat"
6) process "data_dst extract unaligned faces S3FD best GPU.bat"
7) train AVATAR.bat stage 1, tune batch size to maximum for your card (32 for 6GB), train to 50k+ iters.
8) train AVATAR.bat stage 2, tune batch size to maximum for your card (4 for 6GB), train to decent sharpness.
9) convert AVATAR.bat
10) converted to mp4.bat

updated versions of modules
2019-08-24 12:57:29 +04:00