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Software . 2019
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Software . 2019
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Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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ZENODO
Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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Software . 2019
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Harvester: GenICam Compliant Python Image Acquisition Library for Machine Vision Researchers

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Nov 2019Publisher:Zenodo
Authors: Kudo, Kazunari;

doi: 10.5281/zenodo.3548093 , 10.5281/zenodo.3548111 , 10.5281/zenodo.3554804 , 10.5281/zenodo.3549683 , 10.5281/zenodo.3554862 , 10.5281/zenodo.3549682

Harvester: GenICam Compliant Python Image Acquisition Library for Machine Vision Researchers

Abstract

This is a release to create a Digital Object Identifier, DOI in short. Perhaps this tag could turn something wrong but... okay, let's see.

Keywords

Image Processing, Computer Vision, Machine Vision, GenICam, Python, Image Acquisition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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0
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3