Evaluation of YOLOv7 Deployment Performance on Various Platforms (CPUs, GPUs) and Strategies

Abouzid Fatima | Shadi Saleh | Mohamed Salim Harras | Wolfram Hardt

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2023

Typ	Article
Quelle	Embedded Selforganising Systems S. 12 - 17
Verlag	Technische Universität Chemnitz Fakultät für Informatik Professur Technische Informatik Straße der Nationen 62 09111 Chemnitz Deutschland
Adresse	Germany
Link	https://www.bibliothek.tu-chemnitz.de/ojs/index.php/cs/article/view/660
Band	10
Nummer	8
Schlüsselwörter	Traffic sign, Detection, Classification, Deep Neural networks, YOLOv7, Deployment
Bibtex	Anzeigen @Article{AbFa,ShSaMoSaHaWoHa23,      address      = {Germany},      author       = {Abouzid Fatima , Shadi Saleh, Mohamed Salim Harras, Wolfram Hardt},      title        = {Evaluation of YOLOv7 Deployment Performance on Various Platforms (CPUs, GPUs) and Strategies},      publisher    = {Technische Universität Chemnitz, Fakultät für Informatik Professur Technische Informati},      number       = {8},      pages        = {12--17},      url          = {https://www.bibliothek.tu-chemnitz.de/ojs/index.php/cs/article/view/660},      volume       = {10},      year         = {2023},      journal      = {Embedded Selforganising Systems}, }