https://www.tensorflow.org/lite/microcontrollers/overview
https://github.com/espressif/tflite-micro-esp-examples
This library runs TensorFlow machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks.
With the included examples, you can recognize speech, detect people using a camera, and recognise "magic wand" gestures using an accelerometer.
The examples work best with the M5StickC(ESP32) board, which has a microphone and accelerometer.
Outputs sine waves to serial outputs and build-in LEDs.
This is a sample of speech recognition. The audio_provider and command_responder must be modified according to the environment in which they are used.
It is a person detection using a camera. The image_provider and detection_responder must be modified according to the environment in which they are used.
This is a sample for older versions. It will not work as it is.
This is gesture recognition using acceleration. The accelerometer_handler and output_handler must be modified according to the environment in which they are used.
A sketch customized to look like a specific board.
A sketch customized to look like a specific board.
It is a person detection using a camera. This is a sample of using the ESP32 camera driver. Please configure the device you want to use in config.h.
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Person score:89 No person score:226=======================+++======================
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Person score:251 No person score:42A sketch customized to look like a specific board.
cd scripts
bash ./sync_from_tflite_micro.sh