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SenseCraft Model Assistant Getting Start with Seeed Studio XIAO ESP32S3

Introduction​

SenseCraft Model Assistant is an open-source project focused on embedded AI. We have optimized excellent algorithms from OpenMMLab for real-world scenarios and made implemention more user-friendly, achieving faster and more accurate inference on embedded devices.

Hardware Required​

Software Required​

How to Install​

Install ESP-IDF​

Install the ESP IDF​

Follow the instructions of the ESP-IDF get started guide to setup the toolchain and the ESP-IDF itself.

The next steps assume that this installation is successful and the IDF environment variables are set. Specifically,

  • the IDF_PATH environment variable is set
  • the idf.py and Xtensa-esp32 tools (e.g., xtensa-esp32-elf-gcc) are in $PATH

get submodules​

cd to the root directory of the project and run the following command to get the submodules:

git clone https://github.com/Seeed-Studio/edgelab-example-esp32 && cd edgelab-example-esp32
git submodule init
git submodule update

How to Use​

Build the example​

Go to example directory (examples/<example_name>) and build the example.

Set the IDF_TARGET (For ESP32-S3 target, IDF version release/v4.4 is needed)

idf.py set-target esp32s3

Configure the example

idf.py menuconfig
  • Select the Camera Module in Component config -> SenseCraft Model Assistant Configuration -> Camera Configuration -> Select Camera Pinoutimg
  • Select the LCD Module in Component config -> SenseCraft Model Assistant Configuration -> LCD Configuration -> Select LCD Pinoutimg

To build this, run:

idf.py build

Load and run the example​

To flash (replace /dev/ttyUSB0 with the device serial port):

idf.py --port /dev/ttyUSB0 flash

Monitor the serial output:

idf.py --port /dev/ttyUSB0 monitor

Tech Support & Product Discussion​

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