There have been upgrades to MXNet Model Server, Apache MXNet, as well as to Apache NiFi, so I have upgraded my original demo to support this. Apache MXNet is now in version 1.2.1, while Apache NiFi is in versoin 1.7.1. I am capturing images from PicSum.com, which offers free images, which is awesome. We read that REST API with Apache NiFi and send that file to two different algorithms hosted by MXNet Model Server. One is SqueezeNet 1.1, which is used for Object Classification such as identifying hotdogs, cats, dogs, and muffins. These are important things! SSD is Single Shot Detector, this will find a number of things in your picture. As mentioned in other of my articles you will want to checkout Gluon and ONNX for more options. Capture images from picsum.com free images and store them in the file system.
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This article is related to
tutorial,hadoop,artificial intelligence,deep learning,hortonworks,apache nifi,mms,apache mxnet
tutorial,hadoop,artificial intelligence,deep learning,hortonworks,apache nifi,mms,apache mxnet
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