Implementacija neuronske mreže na ZYBO razvojnom sustavu

Birka, Toni

master's thesis

Implementacija neuronske mreže na ZYBO razvojnom sustavu

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. urn:nbn:hr:200:904565

Birka, Toni

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Birka, T. (2019). Implementacija neuronske mreže na ZYBO razvojnom sustavu (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:904565

MLA 8th Edition

Birka, Toni. "Implementacija neuronske mreže na ZYBO razvojnom sustavu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:904565

Chicago 17th Edition

Harvard

Birka, T. (2019). 'Implementacija neuronske mreže na ZYBO razvojnom sustavu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:904565

Vancouver

Birka T. Implementacija neuronske mreže na ZYBO razvojnom sustavu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:904565

IEEE

T. Birka, "Implementacija neuronske mreže na ZYBO razvojnom sustavu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:904565

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:904565

Metadata

Title	Implementacija neuronske mreže na ZYBO razvojnom sustavu
Title (english)	Neural Network Implementation on ZYBO Development Board
Author	Toni Birka
Mentor	Tomislav Matić (mentor)
Committee member	Tomislav Matić (predsjednik povjerenstva)
Committee member	Ivan Aleksi (član povjerenstva)
Committee member	Ivan Vidović (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Computer Engineering and Automation) (Chair of Computer Engineering) Osijek
Defense date and country	2019-09-30, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Architecture of Computer Systems
Abstract	Cilj rada bila je implementacija neuronske mreže na ZYBO razvojnom sustavu, što je postignuto razvijanjem ZYNN sustava. Grafičko korisničko sučelje sustava, koje je razvijeno koristeći Kivy framework, omogućuje dizajniranje i treniranje novih Keras modela i učitavanje postojećih modela prije slanja parametara mreže na ZYBO platformu. Nakon slanja parametara, slijedi prepoznavanje znamenaka sa slike kamere, koja je prenesena u memoriju platforme HDMI kabelom. Na platformi se prvo izvodi proces predobrade slike, kojim se otklanja šum, lociraju nakupine piksela, odnosno potencijalne znamenke, koje se zatim skaliraju i prilagođuju tako da budu što sličnije onima iz MNIST baze podataka. Nakon toga se svaka nakupina piksela provlači kroz model neuronske mreže čiji su parametri prethodno poslani. Rezultati klasifikacije se šalju i prikazuju na korisničkom sučelju na računalu. Osim toga, na monitoru, koji je spojen preko VGA sučelja, se prikazuje obrađena slika s kamere na kojoj su uokvirene nakupine piksela koje su klasificirane kao znamenka, odnosno one kojima je vjerojatnost pripadanja nekoj klasi veća od 55 %. Korisnik zatim može klasificirati drugi skup znamenaka ili odabrati ili kreirati neki drugi Keras model za klasifikaciju.
Abstract (english)	The aim of the paper was implementation of a neural network on the ZYBO development system, which was achieved by developing the ZYNN system. The graphical user interface of the system, developed using the Kivy framework, provides designing and training new Keras models and loading existing models before sending the network parameters to the ZYBO platform. After sending the parameters, the digits are recognized from the camera image, which is transferred to the platform memory via an HDMI cable. The platform first preprocesses an image that eliminates noise, locates pixel clusters, or potential digits, which are then scaled and adjusted to be as similar as possible to those of the MNIST database. Subsequently, each potential digit is passed through a neural network model whose parameters have been previously sent. The classification results are sent and displayed on the computer user interface. In addition, the monitor, which is connected via the VGA interface, displays a processed image from a camera with framed pixel clusters that are classified as a digit, that is, those that have a probability belonging to a class of more than 55 %. The user can then classify another set of digits or select or create another Keras model for classification.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:904565
Study programme	Title: Graduate University Study Programme in Computer Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2020-09-04 08:39:47

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