Standalone impulses: now supports TensorFlow Lite

We’ve updated the example program to compile impulses on macOS and Linux to also support impulses that depend on TensorFlow Lite: example-standalone-inferencing. This should make it trivial to deploy your full algorithm (incl. DSP, neural networks and anomaly detection code) on any target that has a C++ compiler.

To get the latest and the greatest, just follow the instructions in Running your impulse locally.

(Note: The Mbed OS example already supported this, so no need to update there.)

SDK update

This requires a patch in the SDK that will be deployed on Monday, so if you try this out earlier (or on an impulse that you’ve created earlier), edit edge-impulse-sdk/porting/posix/ and add:

#include <stdio.h>