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View Code? Open in Web Editor NEWThe Official PyTorch Implementation of FN-SSL & IPDnet for Sound Source Localization
The Official PyTorch Implementation of FN-SSL & IPDnet for Sound Source Localization
I am using two RTX 3090 GPUs to run train.py following the provided guide.
I only used one FullNarrowBlock, but the training process took 5 hours to complete just one of the 15 epochs. The training process took too much time than I expected.
When I Checked the GPU utilization, it seemed there was a bottleneck somewhere in the code. I suspect the bottleneck might be in the data loading and processing part.
I am wondering if this is a normal occurrence.
If there is something wrong, could you give me an advice how to deal with it?
Dear author, thanks for your sharing of code and the state-of-the-art performance of Doa estimation. there are two problem confusing me:
hope to see your answers.
best regards
I donn't know where to download the Noise92 dataset,could please give a link
Hello, thanks for this algorithm. I would like to ask if it can locate 0 and 180 degrees. I don’t know why the positioning results never show 0 and 180 degrees.
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