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Announcing TensorFlow Lite Micro support on the ESP32

↗ Quelle (blog.tensorflow.org)
🗣️ Stimme:
📑 Inhaltsübersicht
A guest article by Vikram Dattu, Aditya Patwardhan, Kedar Sovani of Espressif Systems chipset.

The ESP32 is a Wi-Fi/BT/BLE enabled The interesting part of ESP32 is that it’s a unique SoC that can be used right from quick prototypes to high-volume production. A wide community, numerous development kits, and plethora of tutorials/SDKs make it a great vehicle for quick prototypes with almost any vertical you might be interested in. The all-in-one package (Wi-Fi/BT/MCU) and existing high volume deployments in the field make it ideal for building end-products with.

ESP32 is already being used in a number of smart-home/connected-device projects with a variety of sensors and actuators connected to the microcontroller to sense the environment and act accordingly. With that you all might be familiar with to make it a smart door-bell camera. We use the ESP-EYE developer kit for this demonstration. Note that this example uses person detection (it detects when a face is in front of the camera), and not person identification (identifying who the person is).

The

Building it for yourself

  1. Order the ESP-EYE: You can get the ESP-EYE Development Kit from your favourite distributor, or from
  2. Setup your development host: Setup your development host with toolchains and utilities required to cross-build for ESP32. Follow the instructions of the and book is an excellent resource for a thorough understanding of TensorFlow Lite for Microcontrollers.
    Vollständiger Original-Bericht
    Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf blog.tensorflow.org.
    ↗ Original-Artikel auf blog.tensorflow.org lesen
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