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DKUM
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Title:
Aplikacija za določanje optimalnih nastavitev kolesa : magistrsko delo
Authors:
ID
Bencik, Matevž
(Author)
ID
Korže, Danilo
(Mentor)
More about this mentor...
Files:
MAG_Bencik_Matevz_2022.pdf
(6,00 MB)
MD5: 2DC2542AA07AA697C15048485B3B9A6B
PID:
20.500.12556/dkum/e4d884d6-3f9e-46c5-80a2-4a5073d1f67d
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu opisujemo razvoj aplikacije za optimalno nastavitev kolesa. Spoznamo pomen pravilne nastavitve kolesa in naredimo pregled obstoječih rešitev na tržišču. Za namen določanja človeškega položaja uporabljamo optični tok s pomočjo označevalcev in oceno položaja na podlagi globokega učenja. Razvijemo sistem, ki omogoča hitro, enostavno in natančno optimizacijo nastavitve kolesa, brez potrebe po profesionalni opremi. Zaledje naše rešitve poganja programski jezik Python, medtem ko je aplikacija narejena v ogrodju React. Svojo rešitev preizkusimo, analiziramo in primerjamo z ostalimi rešitvami.
Keywords:
nastavitev kolesa
,
optični tok
,
ocena človeškega položaja
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[M. Bencik]
Year of publishing:
2022
Number of pages:
1 spletni vir (1 datoteka PDF (VIII, 51 f.))
PID:
20.500.12556/DKUM-81105
UDC:
004.773.4(043.2)
COBISS.SI-ID:
98517507
Publication date in DKUM:
28.01.2022
Views:
616
Downloads:
84
Metadata:
Categories:
KTFMB - FERI
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:
BENCIK, Matevž, 2022,
Aplikacija za določanje optimalnih nastavitev kolesa : magistrsko delo
[online]. Master’s thesis. Maribor : M. Bencik. [Accessed 25 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=81105
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
06.01.2022
Secondary language
Language:
English
Title:
Application for determining optimal bike settings
Abstract:
The diploma thesis deals with the application for determining optimal bike settings. In this thesis, we get to know the meaning of correct bike settings and make a comparison between existing products on the market. For purpose of determining human position, we are using optical flow in combination with markers and human pose estimation methods based on deep learning. We develop a system that allows fast, easy, and accurate optimization of bike settings, without the need for any professional equipment. The backend of our application is written in Python, while the frontend is based on React framework. Our solution is tested, analysed, and compared to others similar products.
Keywords:
bike settings
,
optical flow
,
human pose estimation
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