PyTorch Operations Based Approach for Computing Local Binary Patterns

Advances in machine learning frameworks like PyTorch provides users with various machine learning algorithms together with general purpose operations. PyTorch framework provides Numpy like functions and makes it practical to use computational resources for accelerating computations. Also users may d...

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Autor principal:	Devrim Akgun
Formato:	article
Lenguaje:	EN
Publicado:	Universidade do Porto 2021
Materias:	pytorch local binary patterns feature extraction machine learning Engineering (General). Civil engineering (General) TA1-2040 Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/ab3a7b869ce449639237f5c7f471a3bc
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id	oai:doaj.org-article:ab3a7b869ce449639237f5c7f471a3bc
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spelling	oai:doaj.org-article:ab3a7b869ce449639237f5c7f471a3bc2021-11-26T12:34:57ZPyTorch Operations Based Approach for Computing Local Binary Patterns2183-649310.24840/2183-6493_007.004_0005https://doaj.org/article/ab3a7b869ce449639237f5c7f471a3bc2021-11-01T00:00:00Zhttps://journalengineering.fe.up.pt/index.php/upjeng/article/view/829https://doaj.org/toc/2183-6493Advances in machine learning frameworks like PyTorch provides users with various machine learning algorithms together with general purpose operations. PyTorch framework provides Numpy like functions and makes it practical to use computational resources for accelerating computations. Also users may define their custom layers or operations for feature extraction algorithms based on the tensor operations. In this paper, Local Binary Patterns (LBP) which is one of the important feature extraction approaches in computer vision were realized using tensor operations of PyTorch framework. The algorithm was written both using Python code with standard libraries and tensor operations of PyTorch in Python. According to experimental measurements which were realized for various batches of images, the algorithm based on tensor operations considerably reduced the computation time and provides significant accelerations over Python implementation with standard libraries.Devrim AkgunUniversidade do Portoarticlepytorchlocal binary patternsfeature extractionmachine learningEngineering (General). Civil engineering (General)TA1-2040Technology (General)T1-995ENU.Porto Journal of Engineering, Vol 7, Iss 4, Pp 61-69 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pytorch local binary patterns feature extraction machine learning Engineering (General). Civil engineering (General) TA1-2040 Technology (General) T1-995
spellingShingle	pytorch local binary patterns feature extraction machine learning Engineering (General). Civil engineering (General) TA1-2040 Technology (General) T1-995 Devrim Akgun PyTorch Operations Based Approach for Computing Local Binary Patterns
description	Advances in machine learning frameworks like PyTorch provides users with various machine learning algorithms together with general purpose operations. PyTorch framework provides Numpy like functions and makes it practical to use computational resources for accelerating computations. Also users may define their custom layers or operations for feature extraction algorithms based on the tensor operations. In this paper, Local Binary Patterns (LBP) which is one of the important feature extraction approaches in computer vision were realized using tensor operations of PyTorch framework. The algorithm was written both using Python code with standard libraries and tensor operations of PyTorch in Python. According to experimental measurements which were realized for various batches of images, the algorithm based on tensor operations considerably reduced the computation time and provides significant accelerations over Python implementation with standard libraries.
format	article
author	Devrim Akgun
author_facet	Devrim Akgun
author_sort	Devrim Akgun
title	PyTorch Operations Based Approach for Computing Local Binary Patterns
title_short	PyTorch Operations Based Approach for Computing Local Binary Patterns
title_full	PyTorch Operations Based Approach for Computing Local Binary Patterns
title_fullStr	PyTorch Operations Based Approach for Computing Local Binary Patterns
title_full_unstemmed	PyTorch Operations Based Approach for Computing Local Binary Patterns
title_sort	pytorch operations based approach for computing local binary patterns
publisher	Universidade do Porto
publishDate	2021
url	https://doaj.org/article/ab3a7b869ce449639237f5c7f471a3bc
work_keys_str_mv	AT devrimakgun pytorchoperationsbasedapproachforcomputinglocalbinarypatterns
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PyTorch Operations Based Approach for Computing Local Binary Patterns

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