bibtype L - Prototype, methodology, f. module, software
ARLID 0567364
utime 20230316110407.7
mtime 20230124235959.9
title (primary) (eng) Xilinx Vitis AI 'facedetect' Demo on Trenz Electronic board TE0808 SoM + TEBF0808 Carrier
publisher
pub_time 2022
keyword artificial intelligence
keyword object detection
keyword embedded systems
keyword edge computing
keyword Vitis AI 2.0
keyword AMD-Xilinx
keyword Zynq UltraScale+
author (primary)
ARLID cav_un_auth*0101179
name1 Pohl
name2 Zdeněk
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept (eng) Department of Signal Processing
department (cz) ZS
department (eng) ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0225749
name1 Kohout
name2 Lukáš
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101120
name1 Kadlec
name2 Jiří
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://zs.utia.cas.cz/index.php?ids=results&id=facedetect
cas_special
project
project_id 8A21009
agency GA MŠk
agency EC
ARLID cav_un_auth*0432581
abstract (eng) Tutorial how to setup and run Vitis AI 2.0 demo “facedetect” on Trenz TE0808 SoM attached to TEBF0808 carrier board.
RIV JC
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2023
num_of_auth 3
permalink https://hdl.handle.net/11104/0339732
confidential S
arlyear 2022
mrcbU10 2022