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dc.contributor.authorSpringle, Bryanten
dc.date.accessioned2022-01-12T15:16:00Zen
dc.date.available2022-01-12T15:16:00Zen
dc.date.issued2022-01-12en
dc.identifier.urihttp://hdl.handle.net/10919/107566en
dc.description.abstractThe purpose of this document is to provide instructions on installing the object detection software, YOLOv5 on an Nvidia Jetson device. Please note, this process was run successfully for a Jetson Xavier using Python 3.6. For all other Jetson devices, the instructions may or may not differ.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectpytorchen
dc.subjectjetsonen
dc.subjectnvidiaen
dc.subjectobject detectionen
dc.subjectyolov5en
dc.titlePyTorch and YOLOv5 Installation Instructions for Nvidia Jetson Xavieren
dc.typeManualen
dc.date.updated2022-01-12T15:16:00Zen
dc.description.versionUnpublished versionen
dc.description.notesThe purpose of this document is to provide instructions for installing the object detection software, YOLOv5 on an Nvidia Jetson device. Please note, this process was run successfully for a Jetson Xavier using Python 3.7. For all other Jetson devices, the instructions may or may not differ.en
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Aerospace and Ocean Engineeringen
pubs.organisational-group/Virginia Tech/Graduate studentsen
pubs.organisational-group/Virginia Tech/Graduate students/Masters studentsen


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    Includes journal articles, reports, blog posts, and other writings of graduate students.

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