QEMU VM shell script; CPU & OS agnostic; x86 & ARM, includes Rosetta acceleration
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Updated
Feb 6, 2024 - Shell
QEMU VM shell script; CPU & OS agnostic; x86 & ARM, includes Rosetta acceleration
🔖 Downgrade to 2019.2
Launch an Ubuntu lxc container and install Xilinx Vitis/Vivado
Custom YoloV4 Darknet/Tensorflow model for license plate detection on the AMD-Xilinx Kria KV260 Vision-AI starter Kit. Utilize transfer learning to create your own custom object detecion model on a custom dataset, quantize and compile in Vitis-AI for easy deployment and evaluation on FPGA.
Collect of various scripts for helping work with EDA-tools (ASIC, FPGA, etc)
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