This repository runs an exported impulse on the Espressif ESP32. See the documentation at Running your impulse locally.

• ESP-EYE.

While the script is mainly tested with ESP-EYE, other ESP32-based development boards will work too.

• Edge Impulse CLI.

• ESP IDF 4.4.

Unzip the deployed C++ library from your Edge Impulse project and copy only the folders to the root directory of this repository:

example-standalone-inferencing-espressif-esp32/
├─ edge-impulse-sdk
├─ model-parameters
├─ main
├─ tflite-model
├─ .gitignore
├─ CMakeLists.txt
├─ LICENSE
├─ README.md
├─ sdkconfig
├─ sdkconfig.old
└─ partitions.csv   

1. Initialize ESP IDF:

   get_idf

2. Compile:

   idf.py build

Connect the ESP32 board to your computer.

Run:

idf.py -p /dev/ttyUSB0 flash monitor

Where /dev/ttyUSB0 needs to be changed to actual port where ESP32 is connected on your system.

Use screen, minicom or Serial monitor in Arduino IDE to set up a serial connection over USB. The following UART settings are used: 115200 baud, 8N1.