There are 3 repositories under coral-tpu topic.
Real-time portrait segmentation for mobile devices
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Dockerfile and docker-compose file to enable google coral USB accelerators in containers on Synology DSM 7
This example will help you deploy a streaming camera feed with realtime people detection using the Coral Edge TPU for on-device ML inferencing.
Neuralet edge deep learning models library. Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.
Object detection at the edge, with Google's Coral dev board
Performance testing of 24 Machine Learning models on Raspberry Pi using TensorFlow Lite and Google Coral USB Accelerator
Use the Google Coral USB Accelerator for deep learning.
Use the TensorFlow Object Detection API to train models for the Google Coral Edge TPU.
Testing Google Coral USB Accelerator's performance with 04 models of Raspberry Pi. Results have shown 10 times faster inferencing speeds with the Coral hardware attached.
Coral Edge TPU compilable version of DeepLab V3
m.2 B+M Coral TPU card for Raspberry Pi CM4
Google Coral TPU DKMS Driver package for Fedora, RHEL, OpenSUSE, and OpenMandriva
use edgetpu_compiler from anywhere with docker
Smarthome repo with json files from Home Assistant as well as the setup outline.
Basic Text2Image generation using a CNN designed for a coral tpu
Face Recognition using Coral USB Accelerator, Flask and SocketIO.
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
An AI powered rear facing radar for your bike. Instead of using mmWave radar tech, this project uses an inexpensive raspberry pi zero 2, a camera and Coral.ai TPU accelerator to detect objects behind you.
guide for using google coral usb on ubuntu 22.04 & Raspberry pi4
Easily build a customizable, ready to use Docker Image for some AI/Data Science/Deep Learning experiments.
This work consists of designing a miniature autonomous car that can follow a road, detect signalisations and obstacles.
A simple and real-time traffic monitoring solution using TensorFlow and OpenCV.
Raspberry Pi and Coral TPU based Dalek automation - enables the Dalek to recognise friends and foes and either welcome or shout at them. Includes convincing dalek voice and integrates with dome and iris lights and servo to provide additional scares...
Final Year Project - Traffic Sign Detection on a custom Raspberry Pi RC car. Manual and Autonomous.
An open source framework with a bipedal modular companion robot and custom plugins
A framework to make Google Coral hardware easier to install, manage, develop, test, and deploy.
A very basic example of using a Coral TPU from within a docker container