Národní úložiště šedé literatury Nalezeno 3 záznamů.  Hledání trvalo 0.01 vteřin. 
Computer vision and hand gestures detection and fingers tracking
Bravenec, Tomáš ; Wyrzykowski, Roman (oponent) ; Frýza, Tomáš (vedoucí práce)
This master’s thesis is focused on hand gestures and finger detection in still images and video sequences. The thesis contains a summary of different approaches to hand gesture detections, advantages and disadvantages of each approach. The thesis also includes the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.
Parallelism in Digital Signal Processing
Mego, Roman ; Wyrzykowski, Roman (oponent) ; Vágnerová, Jitka (oponent) ; Frýza, Tomáš (vedoucí práce)
The doctoral thesis is focused on the systems for digital signal processing, its architecture and possibilities of software development. The text discussed the basic classification of computer systems from the view of parallel processing. It also demonstrates the behavior of the low-level and high-level programming languages on the multicore digital signal processors based on VLIW architecture. The aim of the dissertation thesis is to develop a tool that can be used to implement any DSP algorithm on the any VLIW processor with efficiency of the low-level programming languages, but with the advantages of the highlevel programming languages. Result is the software that uses a signal-flow graph approach to describe an algorithm, and generates the low-level assembly code.
Computer vision and hand gestures detection and fingers tracking
Bravenec, Tomáš ; Wyrzykowski, Roman (oponent) ; Frýza, Tomáš (vedoucí práce)
This master’s thesis is focused on hand gestures and finger detection in still images and video sequences. The thesis contains a summary of different approaches to hand gesture detections, advantages and disadvantages of each approach. The thesis also includes the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.