Skip to content

Edge computing raspberry pi via usb coral. Tensorflow light and openCV project capable of performing 4 trillion operations per second (TOPS)

Notifications You must be signed in to change notification settings

arus-io/iot-edge-comupting-ml-coral

Repository files navigation

Edge computing and machine learning on IoT devices is now possible

The Coral USB Accelerator is a USB device that provides an Edge TPU as a coprocessor for your computer. It accelerates inferencing for your machine learning models. Image from iOS

echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -

sudo apt-get update
sudo apt-get install libedgetpu1-std
sudo apt-get install libedgetpu1-max
cd iot-edge-comupting-machine-learning-coral/

source tflite1-env/bin/activate
python3 TFLite_detection_webcam.py --modeldir=Sample_TFLite_model --edgetpu

2021-03-04-210816_1920x1080_scrot 2021-03-04-211024_1920x1080_scrot

About

Edge computing raspberry pi via usb coral. Tensorflow light and openCV project capable of performing 4 trillion operations per second (TOPS)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published