-
I trained with multiple GPUs but Fake/Real just stayed at 0.69
4 GPUs with batch_size=128
L1: 0.025484307669103146, Sync: 0.0, Percep: 0.6968241333961487 | Fake: 0.6908760070800781, Real: 0.69420…
ghost updated
2 years ago
-
Please i used the argument as shown in the code `python inference.py --checkpoint_path --face --audio `
and typed it like this
`python inference.py --checkpoint_path checkpoints/wav2lip.pth --fa…
-
Love the work you’re doing. Just two questions -
1. Under defaults you’ve called the json file phonemes.json. Shouldn’t it be visemes.json? That’s the actual name for the “images to represent sounds…
-
I tried to fine-tune the pre-train model with official LRS2 dataset and my own dataset.
Looks like what the model learned at training phase is simply copying the lower half face to the generated im…
T5eng updated
2 years ago
-
First of all, thanks for this awesome project.
I try to retrain this model. But the result is not very well for me. Because of syncnet model, I'm confused about how long should I
set the train dat…
-
i have installed ffmepg, changed the version of the torch in requirements to 1.1.2 and its all still giving me the same 'could not find a version that satisfies the requirements torch==1.1.0'
![wav…
-
The title is pretty explanatory. I just want to export videos where the frames with faces have the lip movement changed, but the faceless frames are ignored, but still included as normal in the final …
-
51行:video = wav2lip(_Config.GAN()['FOM_OUTPUT_VIDEO'],wavfile,VIDEO_SAVE_PATH)
应改为
video = wav2lip(_Config.GAN()['FOM_DRIVING_VIDEO'],wavfile,VIDEO_SAVE_PATH)
-
你好,你的研究工作很不错
用了 train_contrastive_loss 来训练 效果好么?
还在学校读书么,我们也在做talking face的相关工作,可以交流下么?
-