Google Developers2.41 млн
Опубликовано 15 декабря 2023, 17:47
Ready to unlock the power of machine learning on your Raspberry Pi? Join Paul Ruiz, Developer Relations Engineer, as he takes you through the basics of Google’s newest on-device machine learning tool, MediaPipe.
This tutorial will aim to introduce some general concepts and vocabulary around machine learning and teach you how to create a simple model. Plus, how to implement some common ML tasks such as:
- hand gesture recognition
- audio classification
- and object detection all on the Raspberry Pi.
In summary, you'll learn how to build a Python program that performs image classification, a fundamental task in computer vision. We'll break down the concepts step-by-step, ensuring you have a solid understanding without getting too bogged down in the math or underlying details. By the end of this series, you should have enough of a foundation in machine learning with MediaPipe to continue learning and making great apps.
Resources:
Intro to ML (ML Zero to Hero) → goo.gle/40u9cAx
MediaPipe → goo.gle/3u7sbos
MediaPipe Studio → goo.gle/3QpSMEN
MediaPipe Model Maker → goo.gle/46404E1
Animals Detection Images Dataset → goo.gle/3sub67B
Watch more ML on Raspberry Pi with MediaPipe → goo.gle/MPRP
Subscribe to Google for Developers → goo.gle/developers
#Ml #PythonImageClassification #ImageClassification #PythonRaspberryPi #RaspberryPiApps #RaspberryPi #MachineLearning #MediaPipe #MediaPipe #Developers #Google
This tutorial will aim to introduce some general concepts and vocabulary around machine learning and teach you how to create a simple model. Plus, how to implement some common ML tasks such as:
- hand gesture recognition
- audio classification
- and object detection all on the Raspberry Pi.
In summary, you'll learn how to build a Python program that performs image classification, a fundamental task in computer vision. We'll break down the concepts step-by-step, ensuring you have a solid understanding without getting too bogged down in the math or underlying details. By the end of this series, you should have enough of a foundation in machine learning with MediaPipe to continue learning and making great apps.
Resources:
Intro to ML (ML Zero to Hero) → goo.gle/40u9cAx
MediaPipe → goo.gle/3u7sbos
MediaPipe Studio → goo.gle/3QpSMEN
MediaPipe Model Maker → goo.gle/46404E1
Animals Detection Images Dataset → goo.gle/3sub67B
Watch more ML on Raspberry Pi with MediaPipe → goo.gle/MPRP
Subscribe to Google for Developers → goo.gle/developers
#Ml #PythonImageClassification #ImageClassification #PythonRaspberryPi #RaspberryPiApps #RaspberryPi #MachineLearning #MediaPipe #MediaPipe #Developers #Google
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