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Xecades/AerialExtreMatch-Train

AerialExtreMatch — Train Dataset Code | Project Page | Paper 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… See the full description on the dataset page: https://huggingface.co/datasets/Xecades/AerialExtreMatch-Train.

sourceHugging Facemitupdated 6mo agoView on Hugging Face
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AerialExtreMatch — Train Dataset

Code | Project Page | Paper

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.

bash
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:

<pre> . ├── sceneinfo: *.npz <i>(e.g. Tokyo3100@-98@-185@67@0@90.npz)</i> ├── geoinfo: *.txt <i>(e.g. Tokyo3.txt, see below)</i> └── [cityid] <i>(e.g. Tokyo3)</i>    ├── computedpairs.txt    ├── overlap530.txt    ├── overlap3050.txt    ├── overlap50plus.txt    ├── query    │   ├── intrinsic.txt <i>(see below)</i>    │   ├── poses.txt <i>(see below)</i>    │   ├── depth: .exr    │   └── rgb: .jpg    └── reference       ├── intrinsic.txt <i>(see below)</i>       ├── poses.txt <i>(see below)</i>    ├── depth: .exr    └── rgb: .jpg </pre>

  • —Keys of .npz files in scene_info: ['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pair'].
  • —Format of .txt files in geo_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)