A framework to make Google Coral hardware easier to install, manage, develop, test, and deploy.
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Updated
Apr 5, 2023 - Python
A framework to make Google Coral hardware easier to install, manage, develop, test, and deploy.
Prometheus Exporter for EdgeTPU Metrics
Face detector using the BlazeFace Mediapipe model (with both CPU and TPU delegates) written in C++
Command line tool for capturing video with the Google Coral EdgeTPU camera module. Akin to raspivid for the Raspberry Pi.
Hardware used for the Teachable Camera project
Coral TPU, Haar, AprilTag, Caffe, Object Detection with ROS publisher and Flask MJpeg Stream
The official repository of the paper Efficient People Counting in Thermal Images: The Benchmark of Resource-Constrained Hardware
Pigeon Repellent with Artificial Intelligence
Final Year Project - Traffic Sign Detection on a custom Raspberry Pi RC car. Manual and Autonomous.
Work in the form of a research internship at TUM. Consists of benchmarking the inference of ML models on different hardware.
Basic Text2Image generation using a CNN designed for a coral tpu
Retrain an existing COCO model, and output it with Tensorflow Lite. Shows how to do quantization so you can use it with for example Coral USB Accelerator.
TensorFlow on Raspberry Pi examples
Smarthome repo with json files from Home Assistant as well as the setup outline.
m.2 B+M Coral TPU card for Raspberry Pi CM4
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