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Custom augmentations for semantic segmentation task of environmental & climate structures for remote sensing multispectral imagery

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Nikita-Belyakov/Environmental_Structures_Augmentations

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Environmental_Structures_Augmentations

Custom augmentations for semantic segmentation task of environmental & climate structures for remote sensing multispectral imagery.

Augmentation requires input image sample and its mask. In these .py augmnetation cloud, its shadows and snow structures are augmneted for Landsat-8 multispectral imagery from SPARCS validation dataset.

Required packages:

  • numpy
  • pytorch

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Custom augmentations for semantic segmentation task of environmental & climate structures for remote sensing multispectral imagery

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