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README.md
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This repo contains the **benchmark** set for our paper *AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization*. 32 difficulty levels are included. We also provide [**train**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Train) and [**localization**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Localization) datasets.
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> WARNING: working in progress.
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## Usage
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Simply clone this repository and unzip the dataset files.
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rm -rf .git
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```
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TODO: provide a python example.
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## Dataset Structure
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After unpacking each .zip file:
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</pre>
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- Keys of `class_[id].npy` files: `['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pitch', 'scale', 'pair']`.
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This repo contains the **benchmark** set for our paper *AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization*. 32 difficulty levels are included. We also provide [**train**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Train) and [**localization**](https://huggingface.co/datasets/Xecades/AerialExtreMatch-Localization) datasets.
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## Usage
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Simply clone this repository and unzip the dataset files.
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rm -rf .git
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```
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## Dataset Structure
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After unpacking each .zip file:
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</pre>
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- Keys of `class_[id].npy` files: `['poses', 'intrinsics', 'depth', 'rgb', 'overlap', 'pitch', 'scale', 'pair']`.
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## Classification Metric
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Note that the actual folders are 0-indexed, but the table below is 1-indexed for consistency with the paper, i.e. level 5 corresponds to `class_4`.
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<!-- TODO: replace with paper table -->
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| Level | Overlap | Pitch | Scale |
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| ----- | ------- | ----- | ------- |
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| 1 | 60+ | 55-60 | 1.0-2.0 |
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| 2 | 60+ | 60-65 | 1.0-2.0 |
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| 3 | 60+ | 65-70 | 1.0-2.0 |
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| 4 | 60+ | 70-75 | 1.0-2.0 |
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| 5 | 40-60 | 55-60 | 1.0-2.0 |
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| 6 | 40-60 | 60-65 | 1.0-2.0 |
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| 7 | 40-60 | 65-70 | 1.0-2.0 |
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| 8 | 40-60 | 70-75 | 1.0-2.0 |
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| 9 | 20-40 | 55-60 | 1.0-2.0 |
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| 10 | 20-40 | 60-65 | 1.0-2.0 |
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| 11 | 20-40 | 65-70 | 1.0-2.0 |
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| 12 | 20-40 | 70-75 | 1.0-2.0 |
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| 13 | 20- | 55-60 | 1.0-2.0 |
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| 14 | 20- | 60-65 | 1.0-2.0 |
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| 15 | 20- | 65-70 | 1.0-2.0 |
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| 16 | 20- | 70-75 | 1.0-2.0 |
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| 17 | 60+ | 55-60 | 2.0+ |
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| 18 | 60+ | 60-65 | 2.0+ |
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| 19 | 60+ | 65-70 | 2.0+ |
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| 20 | 60+ | 70-75 | 2.0+ |
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| 21 | 40-60 | 55-60 | 2.0+ |
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| 22 | 40-60 | 60-65 | 2.0+ |
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| 23 | 40-60 | 65-70 | 2.0+ |
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| 24 | 40-60 | 70-75 | 2.0+ |
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| 25 | 20-40 | 55-60 | 2.0+ |
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| 26 | 20-40 | 60-65 | 2.0+ |
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| 27 | 20-40 | 65-70 | 2.0+ |
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| 28 | 20-40 | 70-75 | 2.0+ |
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| 29 | 20- | 55-60 | 2.0+ |
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| 30 | 20- | 60-65 | 2.0+ |
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| 31 | 20- | 65-70 | 2.0+ |
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| 32 | 20- | 70-75 | 2.0+ |
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