DOI: 10.18419/darus-3677
title: Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)

description: This dataset contains the generated weather configurations as png and npz files.
description: This dataset contains the weather data files to replicate the results from our publication, and to test the robustness of further optical flow methods under diverse weather effects.
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We provide the <i>randomly</i> weather-augmented versions of the Sintel dataset as <code>.png</code> files (the respective files are called <code>*_png.zip</code>) for all weather configurations from the paper. Note that the four main weather variants (snow, rain, sparks and fog) correspond to the following configurations: snow=<code>particles_3000</code>, rain=<code>rain_1500</code>, sparks=<code>color_additive_red</code>, fog=<code>size_fog</code>. A smaller <b>dataset sample</b> that contains selected scene samples for the four main augmentations can be found in <code>weather_sampledata.zip </code>. In addition to the <code>.png</code> files we also provide the raw weather data as loadable <code>.npz</code> files (the respective datasets are called <code>*_npz.zip</code>), which can be processed with the provided code.
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Overall, we provide the following files:
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Sample data for snow, rain, sparks and fog as <i>PNG</i>:

<code>weather_sampledata.zip</code>: a reduced-size dataset sample for small-scale experiments


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Random weather augmentations for Sintel as <i>PNG</i>:

<code>particles_1000_png.zip </code>: 1000 random snowflakes
<code>particles_2000_png.zip </code>: 2000 random snowflakes
<code>particles_3000_png.zip </code>: 3000 random snowflakes (<b>snow</b>)
<code>particles_3000_train_png.zip </code>: 3000 random snowflakes with a new random seed, used to train RAFT
<code>particles_4000_png.zip </code>: 4000 random snowflakes
<code>particles_5000_png.zip </code>: 5000 random snowflakes
<code>rain_0375_png.zip </code>: rain streaks with motion blur length 0.0375
<code>rain_0750_png.zip </code>: rain streaks with motion blur length 0.075
<code>rain_1125_png.zip </code>: rain streaks with motion blur length 0.1125
<code>rain_1500_png.zip </code>: rain streaks with motion blur length 0.15 (<b>rain</b>)
<code>color_additive_white_png.zip </code>: random white sparks with additive color
<code>color_alpha_white_png.zip </code>: random white sparks with alpha-blended color
<code>color_additive_red_png.zip </code>: random red sparks with additive color (<b>sparks</b>)
<code>color_alpha_red_png.zip </code>: random red sparks with alpha-blended color
<code>color_additive_green_png.zip </code>: random green sparks with additive color
<code>color_alpha_green_png.zip </code>: random green sparks with alpha-blended color
<code>color_additive_blue_png.zip </code>: random blue sparks with additive color
<code>color_alpha_blue_png.zip </code>: random blue sparks with alpha-blended color
<code>color_additive_color_png.zip </code>: randomly colored sparks with additive color
<code>color_alpha_color_png.zip </code>: randomly colored sparks with alpha-blended color
<code>size_small_png.zip </code>: random small particles
<code>size_medium_png.zip </code>: random medium-sized particles
<code>size_large_png.zip </code>: random large particles
<code>size_fog_png.zip </code>: random large with less opacity particles (<b>fog</b>)


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Random weather augmentations for Sintel as <i>NPZ</i>:

<code>particles_3000_npz.zip </code>: 3000 random snowflakes (<b>snow</b>)
<code>rain_1500_npz.zip </code>: rain streaks with motion blur length 0.15 (<b>rain</b>)
<code>color_red_npz.zip </code>: random red sparks (<b>sparks</b>)
<code>size_fog_npz.zip </code>: random large with less opacity particles (<b>fog</b>)



For the exact parameters used to create the weather effects, please refer to the supplementary material of the linked publication.


For the project website with detailed instructions on how to use the files see github.com/cv-stuttgart/DistractingDownpour.
description: Python, 3.10.12