coral-tpu
There are 4 repositories under coral-tpu topic.
anilsathyan7 / Portrait-Segmentation
Real-time portrait segmentation for mobile devices
Language:Jupyter Notebook 644magic-blue-smoke / Dual-Edge-TPU-Adapter
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
- neuralet
galliot-us / neuralet
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Language:Python 238 Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Language:Python 140nathanrooy / rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Language:Jupyter Notebook 121weltenwort / frigate-synology-dsm7
Dockerfile and docker-compose file to enable google coral USB accelerators in containers on Synology DSM 7
Language:Dockerfile 120balena-io-examples / coral-streaming-object-detector
This example will help you deploy a streaming camera feed with realtime people detection using the Coral Edge TPU for on-device ML inferencing.
Language:Python 34Neuralet edge deep learning models library. Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.
Language:PureBasic 29DAVIDNYARKO123 / edge-tpu-silva
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Language:Python 24- Teachable-Camera
IQTLabs / Teachable-Camera
Object detection at the edge, with Google's Coral dev board
Language:Python 23 aallan / benchmarking-ml-on-the-edge
Benchmarking machine learning inferencing on embedded hardware.
Language:Python 22TannerGilbert / Google-Coral-Edge-TPU
Use the Google Coral USB Accelerator for deep learning.
Language:Jupyter Notebook 22jiteshsaini / model_garden
Performance testing of 24 Machine Learning models on Raspberry Pi using TensorFlow Lite and Google Coral USB Accelerator
Language:Python 21- Language:Python 20
KyleGospo / gasket-dkms
Google Coral TPU DKMS Driver package for Fedora, RHEL, OpenSUSE, and OpenMandriva
Language:C 16Testing 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.
Language:Python 15goruck / edge-tpu-train
Use the TensorFlow Object Detection API to train models for the Google Coral Edge TPU.
Language:Python 13xadrianzetx / coral-deeplab
Coral Edge TPU compilable version of DeepLab V3
Language:Python 12m.2 B+M Coral TPU card for Raspberry Pi CM4
tomassams / docker-edgetpu-compiler
use edgetpu_compiler from anywhere with docker
Language:Dockerfile 9- Language:Python 7
poweredgenl / smarthome
Smarthome repo with json files from Home Assistant as well as the setup outline.
Language:Shell 7Debugalicious / Budget_diffusion
Basic Text2Image generation using a CNN designed for a coral tpu
Language:Jupyter Notebook 6redlogo / RPi-Stream
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
Language:Python 5shaunmulligan / radr
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.
Language:Python 5darshpanchal / edgetpu-face-recognition
Face Recognition using Coral USB Accelerator, Flask and SocketIO.
Language:Python 4- Language:Python 4
- open-traffic-detector
acurber91 / open-traffic-detector
A simple and real-time traffic monitoring solution using TensorFlow and OpenCV.
Language:Python 3 dig9 / coral_rpi4_ubuntu22
guide for using google coral usb on ubuntu 22.04 & Raspberry pi4
Language:C++ 3fdasilva59 / Docker-AI
Easily build a customizable, ready to use Docker Image for some AI/Data Science/Deep Learning experiments.
Language:Shell 3fr4nk3n5731n / alpine-coral-tpu
coral TPU gasket and apex driver modules for Alpine
Language:Dockerfile 3- AutonomousRcCar
maximecharriere / AutonomousRcCar
This work consists of designing a miniature autonomous car that can follow a road, detect signalisations and obstacles.
Language:Python 3 - Language:Python 2
- Language:Jupyter Notebook 2
hopkira / coral-dalek
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...
Language:Python 2Nathanlloyd7 / DriveAwAI
Final Year Project - Traffic Sign Detection on a custom Raspberry Pi RC car. Manual and Autonomous.
Language:Jupyter Notebook 2
