A multi-use helmet that tells you what is behind you using machine learning. This is a continuation of the TPU bike project.
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Updated
Nov 11, 2022 - Python
A multi-use helmet that tells you what is behind you using machine learning. This is a continuation of the TPU bike project.
Integrate your rtsp cameras with simple person detection into a Home Assistant device with MQTT
Pipeline for mask detection over a Pi camera video feed.
A simple and real-time traffic monitoring solution using TensorFlow and OpenCV.
ThinkBioT is an Bioacoustic sensor framework for the collection, processing and satellite transmission of Bio-Taxa Classification and Acoustic Indices data.
Models and examples built with TensorFlow with support for edge tpu
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
Person Detection with Raspberry Pi and Coral Edge-TPU for my master thesis
Examples for playing with the coral edge TPU
m.2 B+M Coral TPU card for Raspberry Pi CM4
Coral Edge TPU compilable version of DeepLab V3
TPU accelerated traffic lane segmentation engine for your Raspberry Pi
Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2
ROS package for the Google Edge TPU
Advanced driver-assistance system with Google Coral Edge TPU Dev Board / USB Accelerator, Intel Movidius NCS (neural compute stick), Myriad 2/X VPU, Gyrfalcon 2801 Neural Accelerator, NVIDIA Jetson Nano and Khadas VIM3
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
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