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We followed GeM model to generate the descriptors and evaluate the performance.
Our code requires a [Nxd] descriptor matrix as the input. The code will build the kNN graph automatically.
By doing a forwardpass through the pretrained GeM model, you shoul be able to get the global descriptors for your own dataset. Loading the descriptors and your own ground-truth files into our pipeline should be straight foward.
Please let us know if you have any other issue running the code with your own datasets.
can you tell me how to train on my own dataset,What is the dataset format like?
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