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AerialExtreMatch β€” Train Dataset

Code | Project Page | Paper (WIP)

This repo contains the training set for our paper AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization. We also provide benchmark and localization datasets.

Usage

Simply clone this repository and unzip the dataset files.

git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Train
cd AerialExtreMatch-Train
unzip "*.zip"
rm -rf *.zip
rm -rf .git

Dataset Structure

After unpacking each .zip file:

.
β”œβ”€β”€ scene_info: *.npz (e.g. Tokyo3_100@-98@-185@67@0@90.npz)
└── [city_id] (e.g. Tokyo3)
    β”œβ”€β”€ computed_pairs.txt
    β”œβ”€β”€ overlap_5_30.txt
    β”œβ”€β”€ overlap_30_50.txt
    β”œβ”€β”€ overlap_50_plus.txt
    β”œβ”€β”€ query
    β”‚   β”œβ”€β”€ intrinsic.txt (see below)
    β”‚   β”œβ”€β”€ poses.txt (see below)
    β”‚   β”œβ”€β”€ depth: *.exr
    β”‚   └── rgb: *.jpg
    └── reference
        β”œβ”€β”€ intrinsic.txt (see below)
        β”œβ”€β”€ poses.txt (see below)
        β”œβ”€β”€ depth: *.exr
        └── rgb: *.jpg
  • Keys of .npz files in scene_info: ['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pair'].
  • Format of intrinsic.txt: name PINHOLE w h fx fy cx cy.
  • Format of poses.txt: name qw qx qy qz x y z. (w2c)
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