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master's thesis
Primjena konvolucijskih mreža u detekciji igraćih karata
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:089195
Sosa, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Sosa, F. (2022). Primjena konvolucijskih mreža u detekciji igraćih karata (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:089195

Sosa, Filip. "Primjena konvolucijskih mreža u detekciji igraćih karata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:089195

Sosa, Filip. "Primjena konvolucijskih mreža u detekciji igraćih karata." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:089195

Sosa, F. (2022). 'Primjena konvolucijskih mreža u detekciji igraćih karata', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:089195

Sosa F. Primjena konvolucijskih mreža u detekciji igraćih karata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:089195

F. Sosa, "Primjena konvolucijskih mreža u detekciji igraćih karata", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:089195

Metadata
TitlePrimjena konvolucijskih mreža u detekciji igraćih karata
Title (english)Application of Convolutional Networks to Detection of Playing Cards
AuthorFilip Sosa
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberJosipa Pina Milišić (član povjerenstva)
Committee memberMate Puljiz (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je prikazana primjena konvolucijskih mreža u detekciji igraćih karata. Prije same detekcije generiran je umjetni skup podataka na kojem modeli detekcije uče svoje težine. Objašnjeni su različiti pristupi detekciji objekata te metode mjerenja uspješ- nosti detektora. Implementirane su različite metode detekcije igraćih karata te je ispi- tana njihova točnost na ručno izrad̄enom skupu fotografiranih slika. Dodatno se za sve metode mjeri prosječno vrijeme potrebno za detekciju karata na slikama.
Abstract (english)
The paper presents the application of convolutional networks in the playing card detection problem. Before object detection itself, the dataset on which the detection model trains its weights was generated. Different approaches to object detection and methods for measuring detector performance are explained. Different methods of de- tecting playing cards have been implemented, and their accuracy has been calculated on a manually created set of photographed images. In addition, the average time requ- ired to detect objects in images for all methods was measured.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:089195
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
Access conditionsClosed access
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Created on2023-01-14 09:56:53