NeuralSPOT includes examples that are built entirely using NeuralSPOT's libraries and components, and are meant to showcase NeuralSPOT's features.
| Example | Description | AP5 | AP4 | AP4 Lite | AP3 |
|---|---|---|---|---|---|
| basic_tf_stub | NeuralSPOT's primary "kitchen sink" example, this audio-based KWS AI model showcases Tensorflow integration, audio sampling and feature extraction, RPC, IPC, and more. It is used as the 'egg' for NeuralSPOT nests. | Y | Y | Y | Y |
| NNID | Neural Network Speaker ID BLE Demo | Y | Y | Y | Y |
| NNSE | Neural Network Speech Enhancement De-noising BLE Microphone Demo | T | Y | Y | N |
| HAR | Human Activity Recognition example | Soon | Y | Y | Y |
| mpu_data_collection | Shows how to configure and read sensor values from the MPU6050, and how to use RPC to send those values to a PC. This is useful for creating accelerometer/gyroscope datasets, for example. Needs USB. | Soon | Y | N | N |
| rpc_client | Shows how to use ns-rpc when the EVB is a client and the PC is the server to collect audio data from the AUDADC and dump it into a WAV file (useful for generating audio datasets). In this configuration, the EVB calls remote procedures and the PC executes those procedures . This example is designed to work with generic_data.py (part of ns-rpc), a python script running on the PC that can be run as server or client. |
Y | Y | N | N |
| rpc_server | Shows how to use ns-rpc when the EVB is the server and the PC is the client. In this configuration, the PC calls remote procedures and the EVB executes those procedures . This example is designed to work with generic_data.py (part of ns-rpc), a python script running on the PC that can be run as server or client. |
Y | Y | N | N |
| vision | Implements EdgeImpulse's FOMO to detect objects in an Arducam's output and sends the results to a WebUSB dashboard. | Y | Y | Y | N |
| uart | Simple example of setting up and using ns_uart. | Y | Y | Y | Y |
| quaternion | Samples an MPU, calculates, and plots the resulting quaternion. | Soon | Y | Y | Y |
| ic | Image Classification demo | Y | Y | Y | N |