119 Open source projects that are alternatives of or similar to google-coral

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

This is the ÆGIS federated application host. Federated components are independently deployable, written by multiple teams in multiple languages, and loaded from multiple repos and network locations at runtime, yet capable of running together in a single process or as distributed components in the ÆGIS application fabric.

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

Realtime face recognition with Flutter

The New OTT Platform - an excuse to discuss and design a simple edge computing platform

Code examples you can use with Horizon.

Number recognition with MNIST on Raspberry Pi Pico + TensorFlow Lite for Microcontrollers

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

zenoh client library written in C and targeting micro-controllers.

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

Model and Android app for sketch recognition using Google's quickdraw dataset

Kubernetes controller for labelling a node with devicetree properties

Object and face recognition using Google's edge TPU

An Edge-computing platform based on Wi-Fi routers

TensorFlow Lite Flutter Helper Library

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

[JSS'19] A Blockchain-based Lightweight Framework for Edge and Fog Computing

quick and dirty inference time benchmark for TFLite gles delegate

End-to-End Compute, Storage and Networking Virtualisation.

How to run a Keras model on Android using Tensorflow API.

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

A framework for trace-driven simulation of serverless Function-as-a-Service platforms

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Python port of PeerJS client

TensorFlow binding library for VA Smalltalk

🙋‍♂️Use Body Pose Estimation to perform pose matching on Android

A distributed ledger for the p2p and decentralized IoT devices in JavaScript.

How to run Keras model inference x3 times faster with CPU and Intel OpenVINO

This is home of Das Schiff - Deutsche Telekom Technik's engine for Kubernetes Cluster as a Service (CaaS) in on-premise environment on top of bare-metal servers and VMs.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

realness.online

quick and dirty benchmark for TFLite gles delegate on iOS

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Agro Doc is basically an app that will help farmers easily pinpoint their crop diseases using their smartphones. The app uses a pre trained tensorflow model to identify issues and then suggest possible cures for the crop infections/diseases. #AndroidDevChallenge

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

📌This repo contains the kotlin implementation of TensorflowLite Example Android Apps🚀

NNtrainer is Software Framework for Training Neural Network Models on Devices.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

A zenoh plug-in that allows to transparently route DDS data. This plugin can be used by DDS applications, such as ROS2 robotic applications and others, to leverage the zenoh for geographical routing or for better scaling discovery.

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

MRuby binding for TensorFlow Lite

AdvantEDGE, Mobile Edge Emulation Platform

How to create Selfie2Anime from tflite model to Android.

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

A Portable C Library for Distributed CNN Inference on IoT Edge Clusters

The core runtime engine for Ambianic Edge devices.

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

FreeIOE is a framework for building IOE (Internet Of Everything) edge-computing gateway 开源的边缘计算网关框架. 讨论群: 291292378

End to end training MNIST image classifier with tf.Keras, convert to TFLite and deploy to Android

Tensorflow Lite for React Native (now just support ios)

Repo and code of the IEEE UIC paper: Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices

Detect various irregularities of a product as it moves along a conveyor belt.

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick