bibtype L - Prototype, methodology, f. module, software
ARLID 0571124
utime 20240402213822.4
mtime 20230424235959.9
title (primary) (eng) Xilinx Vitis AI facedetect and resnet50 Demo on Trenz Electronic TE0802 02 with ZU2CG and 1 GB LPDD4
publisher
pub_time 2023
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*0225749
name1 Kohout
name2 Lukáš
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*0101179
name1 Pohl
name2 Zdeněk
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=te0802_2cg_vitis_ai_resnet50
cas_special
project
project_id 8A21009
agency GA MŠk
ARLID cav_un_auth*0432581
abstract (eng) A tutorial describing setup and run Vitis AI 2.0 facedetect and resnet50 demos on Trenz TE0802-02 board with ZU2CG and 1GB LPDD4. The system uses a Xilinx DPU unit to accelerate calculations. The DPU unit used in zcu104 or zcu102 does not fit into the used ZU2CG device. For this reason, a reduced DPU configuration is provided as well as precompiled models for demos. This text also describes how to move the system filesystem to the M.2 PCIe SSD.
RIV JC
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2024
num_of_auth 3
permalink https://hdl.handle.net/11104/0342451
confidential S
arlyear 2023
mrcbU10 2023