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Sistem za razpoznavo igralnih kart na osnovi globokega učenja : zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni programČampelj, MatejOsrednji 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, seriousPublication and manufacture - Ljubljana : [M. Čampelj], 2022Language - slovenianCOBISS.SI-ID - 133565699
Author
Čampelj, Matej
Other authors
Vrabič, Rok
Topics
diplomske naloge |
globoko učenje |
slikovni sistemi |
prepoznavanje objektov |
Tarok |
YOLO |
OpenCV |
thesis |
deep learning |
imaging systems |
object recognition |
OpenCV
Library/institution |
City | Acronym | For loan | Other holdings |
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Faculty of Mechanical Engineering, Ljubljana | Ljubljana | FSLJ |
reading room 1 cop.
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Shelf entry
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Year | Impact factor | Edition | Category | Classification | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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DRS, in which the journal is indexed
Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Čampelj, Matej | |
Vrabič, Rok | 30914 |
Source: Personal bibliographies
and: SICRIS
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