Uplatnění detekce objektů v reálném čase v programování
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| dc.contributor.advisor |
Fojtů, Dušan
|
|
| dc.contributor.author |
Dudík, Adam
|
|
| dc.date.accessioned |
2025-12-10T23:09:55Z |
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| dc.date.available |
2025-12-10T23:09:55Z |
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| dc.date.issued |
2024-10-27 |
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| dc.identifier |
Elektronický archiv Knihovny UTB |
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| dc.identifier.uri |
http://hdl.handle.net/10563/57850
|
|
| dc.description.abstract |
Tato práce se zaměřuje na vývoj desktopové aplikace, která pomocí umělé inteligence podporuje hráče vreálném čase při hraní hry ARK: Survival Ascended. Aplikace je postavena na frameworku Tauri sfrontendem vReactu a backendovou logikou vjazyce Rust. Klíčovou komponentou je napojení na Python skript s modelem YOLOv8, který zajišťuje detekci objektů na herní obrazovce a umožňuje automatizovanou reakci ve hře. |
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| dc.format |
75 |
|
| dc.language.iso |
cs |
|
| dc.publisher |
Univerzita Tomáše Bati ve Zlíně |
|
| dc.rights |
Bez omezení |
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| dc.subject |
AI
|
cs |
| dc.subject |
Python
|
cs |
| dc.subject |
Tauri
|
cs |
| dc.subject |
Ark
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cs |
| dc.subject |
Rust
|
cs |
| dc.subject |
React
|
cs |
| dc.subject |
Ultralytics
|
cs |
| dc.subject |
Yolo
|
cs |
| dc.subject |
AI
|
en |
| dc.subject |
Python
|
en |
| dc.subject |
Tauri
|
en |
| dc.subject |
Ark
|
en |
| dc.subject |
Rust
|
en |
| dc.subject |
React
|
en |
| dc.subject |
Ultralytics
|
en |
| dc.subject |
Yolo
|
en |
| dc.title |
Uplatnění detekce objektů v reálném čase v programování |
|
| dc.title.alternative |
Application of Real-Time Object Detection in Programming |
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| dc.type |
bakalářská práce |
cs |
| dc.contributor.referee |
Vogeltanz, Tomáš |
|
| dc.date.accepted |
2025-06-17 |
|
| dc.description.abstract-translated |
This thesis focuses on the development of a desktop application designed to support players in real time during gameplay of ARK: Survival Ascended using artificial intelligence. The application is built with the Tauri framework, featuring a React frontend and Rust-based backend logic. A key component is its integration with a Python script utilizing the YOLOv8 model, which detects objects on the game screen and enables automated in-game responses. |
|
| dc.description.department |
Ústav informatiky a umělé inteligence |
|
| dc.thesis.degree-discipline |
Softwarové inženýrství |
cs |
| dc.thesis.degree-discipline |
Software Engineering |
en |
| dc.thesis.degree-grantor |
Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky |
cs |
| dc.thesis.degree-grantor |
Tomas Bata University in Zlín. Faculty of Applied Informatics |
en |
| dc.thesis.degree-name |
Bc. |
|
| dc.thesis.degree-program |
Softwarové inženýrství |
cs |
| dc.thesis.degree-program |
Software Engineering |
en |
| dc.identifier.stag |
70305
|
|
| dc.date.submitted |
2025-06-03 |
|
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