Why__ getitem__ Loading the dataset is slow. How can I solve it? Who can help me

I was able to use the demo a month ago but the same inputs no longer work. In fact the dictator sometimes works as an input and sometimes not. I have tried other computers and times of day, but to no avail. Any thoughts?

First of all, thank you very much for your great paper and code sharing. While working on my paper, I would like to measure the metric presented in the paper to compare my work with wav2lip results. Using the method presented in evaluation folder, I generated videos from lrs2 and lrs3 test dataset a...

I’ve been literally trying everything to make wav2lip work on my 4090 7950x new PC. Previously I had an i5 9400f RTX 2060 and I had no issues with wav2lip, it used the cpu only. As for my new PC, it’s simply not working as intended, it’s taking 30-35 minutes of processing until it finally gives me t...

So, the first question in the paper state," we compute a dot product between the ReLU-activated video and speech embeddings v,s to yield a single value between [0, 1]" as I understand the use of ReLU, the last layer does limit the range of the similarity score from cosine similarity to be in a rang...

i5, RTX 3060, 12G GPU memory. But it's really slow when running inference.py. GPU memory is used at about 10GB. CUDA is running at around 7-10% from time to time. The video is about 34 seconds with a resolution of 1920x1080. I tested CUDA before inference, as shown in figure 1. It is available. The...

Load checkpoint from: checkpoints/wav2lip.pth 0% 0/5 [00:57<?, ?it/s] Traceback (most recent call last): File "inference.py", line 280, in <module> main() File "inference.py", line 252, in main model = load_model(args.checkpoint_path) File "inference.py", line 171, in load_m...

Why use 2d convolutions instead of 3d convolutions?

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Hi when i was testing the code it always displayed that it was running on CUDA but i had no face detected issue but when i finally got it working i was surprised that it says running on CPU?