Commit graph

5 commits

Author SHA1 Message Date
iperov
459d72113f fix conversion speed 2019-03-29 00:18:22 +04:00
iperov
85c01e3b4a Converter: added Apply super resolution? (y/n skip:n) : , Enhance details by applying DCSCN network.
refactorings
2019-03-28 21:50:27 +04:00
iperov
37505d88e3 old SAE model will not work with this update.
Fixed bug when SAE can be collapsed during a time.

SAE: removed CA weights and encoder/decoder dims.

added new options:

Encoder dims per channel (21-85 ?:help skip:%d)
More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU.

Decoder dims per channel (11-85 ?:help skip:%d)
More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU.

Add residual blocks to decoder? (y/n, ?:help skip:n) :
These blocks help to get better details, but require more computing time.

Remove gray border? (y/n, ?:help skip:n) :
Removes gray border of predicted face, but requires more computing resources.
2019-03-24 15:35:02 +04:00
iperov
a3df04999c removing trailing spaces 2019-03-19 23:53:27 +04:00
iperov
438213e97c manual extractor: increased FPS,
sort by final : now you can specify target number of images,
converter: fix seamless mask and exception,
huge refactoring
2019-02-28 11:56:31 +04:00
Renamed from models/ConverterBase.py (Browse further)