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master's thesis
Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:195659
Prpić, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Prpić, A. (2022). Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:195659

Prpić, Ante. "Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:195659

Prpić, Ante. "Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:195659

Prpić, A. (2022). 'Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 13 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:195659

Prpić A. Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 13] Available at: https://urn.nsk.hr/urn:nbn:hr:168:195659

A. Prpić, "Semantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:195659

Metadata
TitleSemantička segmentacija slika dubokim konvolucijskim mrežama na mobilnim uređajima
Title (english)Semantic Segmentation of Images by Deep Convolutional Networks on Mobile Devices
AuthorAnte Prpić
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Diplomskim radom opisan je problem semantičke segmentacije prirodnih scena riješen dubokim konvolucijskim mrežama koje su detaljno opisane. Objašnjeno je kako neuronska mreža uči te kako konvolucija utječe na rješavanje problema iz domene računalnog vida. Evaluirane su popularne arhitekture semantičke segmentacije U-Net i DeepLab te je naučen model na CamVid skupu podataka koristeći DeepLab arhitekturu. Demonstrira se prevođenje modela u strukturu podataka pogodnu za mobilnu aplikaciju te se implementira mobilna iOS aplikacija s mogućnošću segmentacije scene u realnom vremenu čija funkcionalnost je analizirana na više mobilnih uređaja različitih generacija.
Abstract (english)
The diploma thesis describes the problem of semantic segmentation of natural scenes solved by deep convolutional networks which are described in detail. It is explained how the neural network learns and how convolution helps solve problems from the domain of computer vision. Popular U-Net and DeepLab semantic segmentation architectures were evaluated and a model was learned on a CamVid dataset using the DeepLab architecture. The translation of the model into a data structure suitable for a mobile application is demonstrated, and a mobile iOS application with the possibility of real-time scene segmentation is implemented, the functionality of which has been analyzed on several mobile devices of different generations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:195659
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 13:35:18