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Accelerating OpenCV Applications with Zynq-7000 …
Application Note: Vivado HLS. Accelerating OpenCV Applications with Zynq-7000 All Programmable SoC using XAPP1167 ( ) June 24, 2015 Vivado HLS Video Libraries Author: Stephen Neuendorffer, Thomas Li, and Devin Wang Summary This application note describes how the OpenCV library can be used to develop computer vision Applications on zynq -7000 All Programmable SoCs. OpenCV can be used at many different points in the design process, from algorithm prototyping to in-system execution. OpenCV code can also migrate to synthesizable C++ code using video libraries that are delivered with Vivado High-Level Synthesis (HLS). When integrated into a zynq SoC design, the synthesized blocks enable high resolution and frame rate computer vision algorithms to be implemented. Introduction Computer vision is a field that broadly includes many interesting Applications , from industrial monitoring systems that detect improperly manufactured items to automotive systems that can drive cars.
Reference Design XAPP1167 (v3.0) June 24, 2015 www.xilinx.com 2 The design flow for this application note generally follows the steps below: 1. Develop and execute an OpenCV application on Desktop.
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