All board projects
Quality open-source board projects and technical materials from CrowdSupply, Hackaday, and Hackster.io, all in one place
Quantizing ResNet variants with Vitis-AI 3.0 & Pytorch
This tutorial detailed on Quantization steps (including PTQ, Fast-finetuning & QAT) for Renset 50, 101 & 152 in Pytorch & Vitis AI 3.0.
FPGA Vision Lab: Real-Time Frame Grabbing & Streaming
FPGA vision platform with MicroBlaze V: capture, debug, and stream MIPI camera data in real time full frames or high-speed ROI over Ethernet
Using MATLAB to Implement a Distortion Effect on Zynq
Project where we will develop an overdrive guitar effect with MATLAB and Zynq.
Creating a Base Hardware Design for the Zynqberry Zero
This project tutorial walks through the process of creating a base hardware design for the Zynqberry Zero FPGA board in Vivado.
Network programmability kit for Ultra96
Network FPGA developer framework for Ultrascale+ - 6x SFP+ mezzanine, 1U enclosure, IP cores in Verilog managed with NETCONF/YANG interface
RealSense Support for Kria KV260 PetaLinux 2021.1
Adding support for Intel RealSense Camera Technology on the Kria KV260
AmazingHand
AmazingHand is an open hardware project indexed from GitHub. Open the original project page for the full description.
Apache-2.0
Ultra96-V2 - Adding support for Vitis-AI 3.0
This project describes how to add support for Vitis-AI 3.0 to the Ultra96-V2.
Point-Clouds based 3D-Object-Detection on PYNQ-DPU
With PYNQ -DPU overlay on KV260, we made 3D object detection on LiDAR point clouds more efficient than ever!
Concept to Prototype U96: Part One
Initial project for the concept to prototype using the Ultra96V2. This project creates a MIPI image processing pipeline using baremetal
Live NYC Subway Monitor App on Ultra96 FPGA
Using the Ultra96 and the MTA's General Transit Feed Specification (GTFS) see how to create a web application to track your morning commute.
Xilinx Vivado board files for Spartan Edge Accelerator - 1
Custom board files for XILINX Vivado/Vitis to speed up FPGA projects using the low-cost SEEED Studio Spartan Edge Accelerator platform
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