Face recognition on video using edgetpu.
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Updated
Dec 25, 2020 - Python
Face recognition on video using edgetpu.
Prometheus Exporter for EdgeTPU Metrics
Comparative of the performance of computer vision models designed by hand and models designed using Hardware-Aware Neural Architecture Search (HW-NAS)
A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection
A framework to make Google Coral hardware easier to install, manage, develop, test, and deploy.
Command line tool for capturing video with the Google Coral EdgeTPU camera module. Akin to raspivid for the Raspberry Pi.
Final Year Project - Traffic Sign Detection on a custom Raspberry Pi RC car. Manual and Autonomous.
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.
A python framework for designing high-performance Computer Vision pipelines at the Edge. Supports Coral Edge TPU, Raspberry Pi Camera, and more.
Docker container for Google EdgeTPU compiler
Traffic sign recognition for Raspberry Pi with Coral USB Accelerator.
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
Basic Text2Image generation using a CNN designed for a coral tpu
Person detecting security camera monitor.
A real world application of pytorch, transfer learning and edge TPU to detect when my dog uses the restroom.
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