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, a set of tools for no-code and low-code solutions to common on-device machine learning tasks, for Android, web, and Python. Today we’re happy to announce that the initial version of the iOS SDK, plus an update for the Python SDK to support the Raspberry Pi, are available. These include support for audio classification, face landmark detection, and various natural language processing tasks. Let’s take a look at how you can use these tools for the new platforms.
Object Detection for Raspberry Pi
Aside from setting up your Raspberry Pi hardware with a camera, you can start by installing the MediaPipe dependency, along with OpenCV and NumPy if you don’t have them already.
python -m pip install mediapipe |
From there you can create a new Python file and add your imports to the top.
import mediapipe as mp |
You will also want to make sure you have an object detection model stored locally on your Raspberry Pi. For your convenience, we’ve provided a default model, , or see the official documentation .
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Getting started
To learn more, watch our I/O 2023 sessions: , and .
We look forward to all the exciting things you make, so be sure to share them with @googledevs and your developer communities!
Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf developers.googleblog.com.
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