0571123 20240402213822.320230424235959.9 2023 artificial intelligence object detection embedded systems edge computing AMD-Xilinx Vitis AI 2.0 Zynq UltraScale+ HDMI input HDMI output cav_un_auth*0225749 Kohout Lukáš UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101179 Pohl Zdeněk UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101120 Kadlec Jiří UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. https://zs.utia.cas.cz/index.php?ids=results&id=te0820_4ev_vitis_ai_vcu 8A21009 GA MŠk cav_un_auth*0432581 A tutorial describing setup and run Vitis AI 2.0 facedetect demonstrator on Trenz TE0820-4EV SoM with Trenz TE0701-06 carrier board and Avnet HDMI In/Out FMC card. The system uses a Xilinx DPU unit to accelerate calculations. An input video data are taken from the HDMI input (FMC), processed data are displayed via HDMI output (FMC). The system desktop is shown via HDMI output on TE0701 carrier board. As the TE0820-4EV provides H.264/H.265 Video Codec Unit (VCU), the demonstrator is configured to use the decoder of the VCU. JC 20000 20200 20206 2024 3 https://hdl.handle.net/11104/0342452 S 2023 2023