Raspberry pi TensorFlow-lite Object detection
How to use TensorFlow Lite object detection models on the Raspberry Pi.
TensorFlow Lite is an optimized framework for deploying lightweight deep learning models on resource-constrained edge devices. TensorFlow Lite models have faster inference time and require less processing power, so they can be used to obtain faster performance in realtime applications.
System Requirements
Hardware
· Raspberry Pi Board (4B , 3B+)
· IP Camera, USB Camera or Pi Camera
· SD
Card 32GB
· 5V
DC. 2A Power Supply
Software
· OS Raspbien
10 ( buster )
· Python
3.7.2
· Tensorflow
lite 1.14.0
· OpenCV
4.0.0
Machine Learning Model : MobileNet SSD V2
Source Code
https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
Reference
Install Tensorflow on Raspberry pi
https://www.tensorflow.org/install/source_rpi
Tensorflow Model Zoo
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
How to Run TensorFlow Lite Object Detection
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