How to Set Up TensorFlow Object Detection on the Raspberry Pi
Learn how to install TensorFlow and set up the TensorFlow Object Detection API on your Raspberry Pi! These instructions will allow you to detect objects in live video streams from your Picamera or USB webcam.
Get a Raspberry Pi: https://amzn.to/2Iki3fb
Get a Picamera: https://amzn.to/2rKxarh
Handy Picamera + Pi case: https://amzn.to/2LxaUed
If you have questions, I usually respond more quickly if you send me a tweet on Twitter: @EdjeElectronics https://twitter.com/EdjeElectronics
I created this video using a Raspberry Pi 3 Model B running Raspbian Stretch. It should also work for the Raspberry Pi 2.
—- Link to steps in video —-
1:00 Step 1. Update the Raspberry Pi
1:38 Step 2. Install TensorFlow
4:14 Step 3. Install OpenCV
6:03 Step 4. Compile and Install Protobuf
10:29 Step 5. Set up TensorFlow directory structure
14:39 Step 6. Test out object detector!
—- Links mentioned in video —-
Written version of this tutorial on GitHub: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi
lhelontra’s “TensorFlow on ARM” repository: https://github.com/lhelontra/tensorflow-on-arm/releases
OSDevLab’s guide to building Protobuf on the Pi: http://osdevlab.blogspot.com/2016/03/how-to-install-google-protocol-buffers.html
GitHub Protobuf releases page: https://github.com/google/protobuf/releases
TensorFlow Model Zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md
Card detector model on DropBox: https://www.dropbox.com/s/27avwicywbq68tx/card_model.zip?dl=0
Music: Broke For Free – My Always Mood
http://brokeforfree.com/
