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Pikaliov 4ff36ce188 Initial import: World-UAV prepro
Add dataloaders (v1/v2), analysis scripts, and documentation for working with UAV-GeoLoc (World-UAV).

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-09 12:44:49 +03:00

17 lines
603 B
Python

import torch
import torch.nn.functional as F
import torch.nn as nn
class GeMPool(nn.Module):
"""Implementation of GeM as in https://github.com/filipradenovic/cnnimageretrieval-pytorch
we add flatten and norm so that we can use it as one aggregation layer.
"""
def __init__(self, p=3, eps=1e-6):
super().__init__()
self.p = nn.Parameter(torch.ones(1)*p)
self.eps = eps
def forward(self, x):
x = F.avg_pool2d(x.clamp(min=self.eps).pow(self.p), (x.size(-2), x.size(-1))).pow(1./self.p)
x = x.flatten(1)
return F.normalize(x, p=2, dim=1)