Source code for the Edge TPU API library

Self-hosted NVR with object detection

Google Coral on the Raspberry Pi 4

YOLOv4 Implemented in Tensorflow 2.

Object detection for video surveillance

Edge TPU samples.

ROS package for Coral Edge TPU USB Accelerator

Docker with Raspbian, SSH and the Coral USB Edge TPU libraries.

This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).

Node.js framework to create REST API with express and mongoose models

Source code (Python, Node.js and Java) for a demo we built which has been shown at a number of conferences, including IoT Solutions World Congress in Barcelona, Google Cloud Next 2019 and Google I/O 2019. Using the Coral Dev Board we show incredible fast machine learning on the edge with minimal power consumption.

Chapter 11: Transfer Learning/Domain Adaptation

Raspberry Pi Supplement to Coral Edge TPU Demo

some scripts I used to test Google's Edge TPU

TPU accelerated traffic lane segmentation engine for your Raspberry Pi

Mirror of Gitlab Repository

R package for dynamic bioenergetic modeling of coral-Symbiodinium symbioses

AEM CoralUI functional test automation support

[ Programming language ] - built in Golang and run in CVM. (WIP)

ThinkBioT is an Bioacoustic sensor framework for the collection, processing and satellite transmission of Bio-Taxa Classification and Acoustic Indices data.

Webstreaming classification with Google edge TPU on the picamera and balenaFin

Develop front end components with AEM Coral UI

This work consists of designing a miniature autonomous car that can follow a road, detect signalisations and obstacles.

Sistema simples de controle de informações para o Supremo Encanto

Deep learning codebase for CoralNet backend

Semantic Segmentation for Coral Reefs and Mangroves

Genera un archivo MIDI a partir de cuatro líneas musicales

Apache NiFi - MiNiFi - Coral USB - Coral Environmental Sensors - Python - TFLITE