Qengineering/TensorFlow_Lite_Classification_RPi_zero
TensorFlow Lite on a bare Raspberry Pi Zero
This helps embedded systems developers add image classification capabilities to projects running on a Raspberry Pi Zero. It takes an image file and a pre-trained TensorFlow Lite model, then outputs the classification result (e.g., "school bus"). This is for engineers and hobbyists building low-cost, low-power computer vision applications.
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Use this if you need to run basic image classification on an original Raspberry Pi Zero, leveraging its minimal power consumption and cost.
Not ideal if you need real-time inference, are using a more powerful Raspberry Pi (like a Zero 2 or 4), or require object detection rather than just classification.
Stars
19
Forks
2
Language
C++
License
BSD-3-Clause
Category
Last pushed
Nov 07, 2022
Commits (30d)
0
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