You're connecting to a headless server which doesn't have an X-Server installed.
It's outside the scope of Faceswap to go into configuration for this, but look into vnc4server for Ubuntu. You should find plenty of guides.
You're connecting to a headless server which doesn't have an X-Server installed.
It's outside the scope of Faceswap to go into configuration for this, but look into vnc4server for Ubuntu. You should find plenty of guides.
Firstly make sure the file C:\Users\Gaël\Documents\faceswap-master\plugins\extract\detect\.cache\resnet_ssd_v1.prototext exists.
If it does, it may be that the download corrupted. If so, delete the file and try again.
1660 will train faster, 1070 will train bigger models. It really depends where your priorities are. If it were me, and all things being equal, I'd go for the 1070, but it is subjective.
I'll take a look. Thanks. There are some bugs in the latest stats code.
This should be fixed in latest commit. Please update.
SAE with Multi-Scale output enabled?
Those are the outputs from the multi-scale output
When did you start training (what date approx.)?
Which model?
Did you change any of the loss multipliers for any of the sessions?
Thanks for these. I definitely won't have a chance to look at this before the weekend, but I will look at the issue as soon as I can
If you can share a video + alignment file where this problem occurs (Private Message is fine) then I may have time to have a look at the weekend.
Post your system info:
GUI Users: Go to Help -> Output system information
CLI Users: From inside your virtual environment, inside your faceswap folder, run:
Code: Select all
python -c "from lib.sysinfo import sysinfo ; print(sysinfo)"