Oleksandr Tkachenko
Oleksandr Tkachenko
What size you train - 512 or 224? If it was 224 - try add `--which_epoch`. In your case: `python test_video_swapsingle.py --crop_size 224 --use_mask --which_epoch 100000 --name simswap512 --Arc_path arcface_model/arcface_checkpoint.tar...
If you train 512 - try to comment or remove lines `49` and `50` in `test_video_swapsingle.py`. Then everything is the same as in the example above, except -`-crop_size` - change...
What dataset and GPU you used for training?
> > > > thank you for you answer another error appears []Pretrained network G has fewer layers; The following are not initialized: ['down0', 'first_layer', 'last_layer', 'up0'] Try #246 and...
> > If you train 512 - try to comment or remove lines `49` and `50` in `test_video_swapsingle.py`. Then everything is the same as in the example above, except -`-crop_size`...
You train 512 or 224? Not a dataset, --crop_size of your command that you use for training
> > You train 512 or 224? Not a dataset, --crop_size of your command that you use for training > > from 224 and 512 the ONLY difference is --Gdeep...
> > > > You train 512 or 224? Not a dataset, --crop_size of your command that you use for training > > > > > > > > >...
> I find: 1、in train.py and test_wholeimage_swapsingle.py, the initial network was not the same... in train.py: > > ``` > from models.projected_model import fsModel > # model initial > model...
> I find: 1、in train.py and test_wholeimage_swapsingle.py, the initial network was not the same... in train.py: > > ``` > from models.projected_model import fsModel > # model initial > model...