A PyTorch implementation of the ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
/src
: The training scripts of the network.
A PyTorch implementation of the ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
/src
: The training scripts of the network.
Thanks a lot for the open source. I'm new to deep learning and I'm having problems running the model after processing the dataset. Using visual_frontend to extract the video embedding and store it as npz, the final dimension I get is nร512, while the dimension of ImageNet input is required to be 256, may I know how to solve this problem without affecting the training result.
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