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@Vvdinosaur, until we optimize the code, you could perhaps reduce the number of layers you are extracting. For example, you could only extract the features from 'layer3'. You could potentially play with coreset_sampling_ratio and num_neighbors parameters to improve the computation as well.
Hi,
I have 2000+ images( img_size = 360x640) to train, it is very slow at subsample_embedding stage.
is there any method to accelerate this ?
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