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AerialExtreMatch — 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:
. ├── scene_info: *.npz (e.g. Tokyo3_100@-98@-185@67@0@90.npz) ├── geo_info: *.txt (e.g. Tokyo_3.txt, see below) └── [city_id] (e.g. Tokyo3) ├── computed_pairs.txt ├── overlap_5_30.txt ├── overlap_30_50.txt ├── overlap_50_plus.txt ├── query │ ├── intrinsic.txt (see below) │ ├── poses.txt (see below) │ ├── depth: *.exr │ └── rgb: *.jpg └── reference ├── intrinsic.txt (see below) ├── poses.txt (see below) ├── depth: *.exr └── rgb: *.jpg
- Keys of
.npzfiles inscene_info:['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pair']. - Format of
.txtfiles ingeo_info:name lat1 lon1 lat2 lon2 alt. - 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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