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undergraduate thesis
Optimizacija performanci OpenVX aplikacija za ugradbeni sustav
2019. urn:nbn:hr:168:587914
Maršanić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Maršanić, D. (2019). Optimizacija performanci OpenVX aplikacija za ugradbeni sustav (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:587914

Maršanić, Dominik. "Optimizacija performanci OpenVX aplikacija za ugradbeni sustav." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:587914

Maršanić, Dominik. "Optimizacija performanci OpenVX aplikacija za ugradbeni sustav." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:587914

Maršanić, D. (2019). 'Optimizacija performanci OpenVX aplikacija za ugradbeni sustav', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:587914

Maršanić D. Optimizacija performanci OpenVX aplikacija za ugradbeni sustav [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:587914

D. Maršanić, "Optimizacija performanci OpenVX aplikacija za ugradbeni sustav", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:587914

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Metadata
TitleOptimizacija performanci OpenVX aplikacija za ugradbeni sustav
Title (english)Performance optimisation of OpenVX applications for embedded system
AuthorDominik Maršanić
MentorVlado Sruk (mentor)
Committee memberVlado Sruk (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu ispitane su performance OpenVX aplikacije na ugradbenom sustavu Raspberry Pi i osobnom računalu na primjeru tri algoritama, a to su Median Filter, Harris detekcija kuta i Haar-cascade detekcija objekata. Performance su uspoređene sa referentnim sustavom koji koristi OpenCV implementaciju. Svaki od slučajeva koristio je već snimljen materijal dok se kod zadnjeg algoritma koristila se i kamera za ispitivanje performanci u stvarnom vremenu. Postoje moderniji ugradbeni sustavi sa boljim performancama koji se koriste za rješavanja naprednijih problema dubokog i strojnog učenja.
Abstract (english)
This paper examines the performance of the OpenVX application on the Raspberry Pi embedded system and the personal computer in the example of three algorithms, namely Median Filter, Harris Corner Detection and Haar-cascade Object Detection. Each of the cases used the material that was already recorded, while the third algorithm used a real-time performance test camera. There are more modern embedded systems with better performance that are used to address advanced deep and machine learning problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:587914
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 20:07:07