hxGraph is a high-level tool that enables users to develop computer vision applications using the OpenCV APIs and then target the application to run on the high-performance HyperX embedded processor. hxGraph accepts a Python program written using the OpenCV API syntax and generates code to implement the graph (pipeline) on the HyperX processor using a library of OpenCV functions. In this tutorial we will demonstrate the software framework using an industrial inspection application. We will show the construction of the processing pipeline in OpenCV using Python and run the application on the host computer. Then we will target the HyperX processor and execute the same processing without having to write any new code. We’ll then demonstrate both processing computer-hosted images and streaming GigE Vision camera images directly to HyperX. We will also show performance benchmarks such as latency and throughput for the application.
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