Sistem za razpoznavo igralnih kart na osnovi globokega učenja : zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo

(UL)

Sistem za razpoznavo igralnih kart na osnovi globokega učenja : zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni program

Čampelj, Matej

Osrednji problem avtomatizacije namiznih iger s kartami je prepoznavanje kart, ki je kompleksna operacija in potrebuje veliko učno množico. Zaradi izboljšav GPU računalnikov lahko te izdelujemo ... sintetično z uporabo knjižnic, kot je OpenCV. Osredotočili smo se na prepoznavnje kart igre Tarok z namenom avtomatizacije štetja točk po partiji. Napisali smo program, ki prepoznava poljubno število kart preko kamere, shranjuje njihova imena, sešteva njihove točke in preverja bonuse. Uporabili smo detekcijski algoritem YOLO, naučen na umetni množici. Njegova natančnost je bila preverjena in izboljšana s pomočjo realnih slik.

Type of material - undergraduate thesis ; adult, serious

Publication and manufacture - Ljubljana : [M. Čampelj], 2022

Language - slovenian

COBISS.SI-ID - 133565699

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Repository of the University of Ljubljana – RUL

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Library	Call number – location, accession no. ...	Copy status
Faculty of Mechanical Engineering, Lj.	UN 1641 IN: 80001641	available - reading room

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Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Čampelj, Matej
Vrabič, Rok	30914

Source: Personal bibliographies and: SICRIS

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