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TheProjectsGuy avatar TheProjectsGuy commented on May 24, 2024

Hey @babyporgrammer,

Thanks for taking an interest in our work. I might have misunderstood your question about the recall rate, but I'll try my best to answer.

I am trying to reproduce the result of Recall rate, but find there is no code for it?

Though our demos do not have the code for reproducing recalls (because their purpose is only to do global feature extraction), we have the code for estimating recalls in our scripts like in dino_v2_vlad (which is our main AnyLoc-VLAD-DINOv2 method)

print("----- Calculating recalls through top-k matching -----")
dists, indices, recalls = get_top_k_recall(largs.top_k_vals,
db_vlads, qu_vlads, vpr_ds.soft_positives_per_query,
sub_sample_db=largs.sub_sample_db,
sub_sample_qu=largs.sub_sample_qu)
print("------------ Recalls calculated ------------")

The function get_top_k_recall can be found in utilities.py of the main repository (not the demo folder).

Let me know if I was able to answer your query.

from anyloc.

Nik-V9 avatar Nik-V9 commented on May 24, 2024

@TheProjectsGuy Maybe you should add a Benchmarking sub-section to the main README?

from anyloc.

Nik-V9 avatar Nik-V9 commented on May 24, 2024

@TheProjectsGuy The scripts folder needs to be updated. It takes a lot of work to try out the best AnyLoc method.

Could you make a benchmarking folder with bash scripts for the best-performing variant of AnyLoc-DINOv2 (Different ViT architectures) and AnyLoc-DINO?

Also, people can select the ViT architecture and dataset through args.

from anyloc.

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