Google cloud edge TPU edgetpuvision research/learning repo
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Updated
Apr 1, 2019 - Python
Google cloud edge TPU edgetpuvision research/learning repo
edgetpu-native from https://coral.googlesource.com/edgetpu-native
some scripts I used to test Google's Edge TPU
Docker container for Google EdgeTPU compiler
This project contains a set of scripts to facilitate the setup of the Jetson Nano for doing Deep Learning with Tensorflow 2.0 (and also with Coral TPU Edge)
Raspberry Pi Supplement to Coral Edge TPU Demo
Motion transfer booth for a 1 hour everybody dance now video generation using EdgeTPU and Tensorflow 2.0
Command line tool for capturing video with the Google Coral EdgeTPU camera module. Akin to raspivid for the Raspberry Pi.
Drive a RC car on a track, detecting lanes using semantic segmentation. Uses Donkeycar, ROS, Raspberry Pi 4, Google Edge TPU.
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
The products,docs,resources,software,tools,scripts,models,demos
Traffic sign recognition for Raspberry Pi with Coral USB Accelerator.
A python framework for designing high-performance Computer Vision pipelines at the Edge. Supports Coral Edge TPU, Raspberry Pi Camera, and more.
Face recognition on video using edgetpu.
Prometheus Exporter for EdgeTPU Metrics
Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
Comparative of the performance of computer vision models designed by hand and models designed using Hardware-Aware Neural Architecture Search (HW-NAS)
In this repository, we introduce several edge-AI platforms and demonstrate how to use them from scratch. Most of them are expanded from the concept of IoT.
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