HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch

HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch

SoftwareX, 9, 193-198, 2019 HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It aims to ease the access to convolutional neural networks for applications that rely on hexagonally sampled data as, for example, commo...

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Hauptverfasser: Steppa, Constantin, Holch, Tim Lukas
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Computer Science - Computer Vision and Pattern Recognition
Physics - Instrumentation and Methods for Astrophysics
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creator Steppa, Constantin
Holch, Tim Lukas
description SoftwareX, 9, 193-198, 2019 HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It aims to ease the access to convolutional neural networks for applications that rely on hexagonally sampled data as, for example, commonly found in ground-based astroparticle physics experiments.
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subjects Computer Science - Computer Vision and Pattern Recognition
Physics - Instrumentation and Methods for Astrophysics
title HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch
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