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undergraduate thesis
Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja 
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:329600
Filek, Karlo
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Filek, K. (2023). Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja  (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:329600

Filek, Karlo. "Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja ." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:329600

Filek, Karlo. "Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja ." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:329600

Filek, K. (2023). 'Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja ', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:329600

Filek K. Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja  [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:329600

K. Filek, "Prepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja ", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:329600

Metadata
TitlePrepoznavanje šahovske ploče i figura temeljeno na metodama dubokog učenja 
Title (english)Chessboard and figure recognition based on deep learning methods 
AuthorKarlo Filek
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Zadnjih 2 desetljeća metode računalnog vida i strojnog učenja su se drastično razvile i modernom arhitekturom računala omogućili real-time izvedbu zadanih algoritama prepoznavanja i detekcije objekata. Tema ovog rada je izrada računalnog programa za detekciju i prepoznavanje šahovske ploče i figura te usporedba u učinkovitosti modela s obzirom o kutu gledanja na šahovsku ploču. Rješenje je bazirano na implementaciji duboke neuronske mreže doučene na naš set podataka te je izrađeno u programskom jeziku Python uz korištenje prograskih biblioteka otvorenog koda OpenCV za područje obrade slika i računalnog vida i TensorFlow za područje učenje neuronske mreže i obradu podataka. Učenje mreža je ubrzano primjenom GoogleColab kolaborativnog okruženja gdje se omogućava pristub Google-ovim radnim jedinicama.
Abstract (english)
For the past 2 decades the methods for computer vision and object recognition have been rapidly developing. With the evolution of modern computer processing units real-time object detection and recognition has been made a possibility. The goal of this thesis is to create a computer program for chess board detection and figure recognition based on deep neural network recognition. Operating program is built in Python 3.10 and uses open source libraries such as OpenCV for image manipulation and TensorFlow for neural network fitting and image evaluation. The training of the neural network was sped up by implementing Googles server resources through GoogleColab platform.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:329600
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-29 14:42:26