Ingesting Apache MXNet Gluon Deep Learning Results Via MQTT and Apache NiFi - DZone AI

We're using a pre-trained model in Apache MXNet Gluon Python 3 code to classify a webcam image captured and processed with OpenCV. In our Python script, we capture the image to disk and capture JSON metadata about the percentage, probabilities, and device information. This JSON data is then sent via MQTT to a broker. Apache NiFi processes the JSON data. A side effect of the process is that it produces a SQL DDL to create a new table for this schema.