PyTorch and YOLOv5 Installation Instructions for Nvidia Jetson Xavier
dc.contributor.author | Springle, Bryant | en |
dc.date.accessioned | 2022-01-12T15:16:00Z | en |
dc.date.available | 2022-01-12T15:16:00Z | en |
dc.date.issued | 2022-01-12 | en |
dc.date.updated | 2022-01-12T15:16:00Z | en |
dc.description.abstract | The 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.description.notes | The 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dc.description.version | Unpublished version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | http://hdl.handle.net/10919/107566 | en |
dc.language.iso | en | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | pytorch | en |
dc.subject | jetson | en |
dc.subject | nvidia | en |
dc.subject | object detection | en |
dc.subject | yolov5 | en |
dc.title | PyTorch and YOLOv5 Installation Instructions for Nvidia Jetson Xavier | en |
dc.type | Manual | en |
dc.type.dcmitype | Text | en |
pubs.organisational-group | /Virginia Tech | en |
pubs.organisational-group | /Virginia Tech/Engineering | en |
pubs.organisational-group | /Virginia Tech/Engineering/Aerospace and Ocean Engineering | en |
pubs.organisational-group | /Virginia Tech/Graduate students | en |
pubs.organisational-group | /Virginia Tech/Graduate students/Masters students | en |
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