This example shows you how to customize the JeVois DNN processing framework. Here, we create a custom post-processor that enhances the functionality of PostProcessorDetect by extracting regions of interest for each detected object. For this example, we simply compute an edge map for each detection box and display it as an overlay. Other processing is possible, for example, detected regions of interest could be sent to another neural network for additional processing.

The main goal of this module is as a tutorial for how to implement custom operations within the JeVois DNN framework in C++. The main idea is to create derived classes over Pipeline and PostProcessorDetect.