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Context-based interaction using embedded deep learning

License: GNU General Public License v3.0

Jupyter Notebook 30.43% C 31.78% C++ 27.64% PureBasic 10.11% CMake 0.04%

groundsight's Introduction

TensorFlow Lite Micro Setup with PlatformIO (ESP32-CAM)

This setup guide unifies several sources to cover the entire pipeline. We will be using the ESP32-CAM board for demonstration, but most of the steps should work for many MCUs.

Installations: VSCode, PlatformIO extension, Python (conda, TensorFlow-GPU (cuda, cudnn), Matplotlib, NumPy, JupyterLab), Synthesis (xxd for Linux or Python script), tflite-micro library, tflm class for setup and utilities)

Setup

  1. VSCode and PlatformIO extension
  2. Python and TensorFlow-GPU setup
  3. Setup synthesis method
  4. Download tflite-micro library
  5. Download TFLM helper class (optional)

Sections

  1. Training
  2. Quantization
  3. Synthesis
  4. Deployment

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