Multi-similarity mining on Pittsburgh30k training set

[Anuradha-Uggi]

Hello Amar.

MixVPR is an amazing job. We are trying to train it on the pittsburgh30k dataset to compare it with our approaches. How does Multi-similarity mining work on the Pittsburgh 30k training set, where data loading gives a list of database+queries? Could you please clarify how to load the Pittsburgh training samples such that the triplets are mined error-free? I ran the Pittsburgh data code that you provided and made a few modifications. The main.py is running bug free but it's giving loss=0 and acc=1 for all epochs.

Many thanks Anu