8000 GitHub - adafruit/rpi-vision: Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. Associated Learn Guide: https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. Associated Learn Guide: https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4

Notifications You must be signed in to change notification settings

adafruit/rpi-vision

 
 

Repository files navigation

RPI Vision

Deep object detection on a Raspberry Pi using Tensorflow & Keras.

Materials

Install Dependencies (on Raspberry Pi)

Follow the guide in our Learn System https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4

Running a trainer (GPU Accelerated)

pip install -r trainer.requirements.txt

Analyzing via Tensorboard

tensorboard --logdir gs://my-gcs-bucket/my-model/logs/

References

About

Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. Associated Learn Guide: https://learn.adafruit.com/running-tensorflow-lite-on-the-raspberry-pi-4

Topics

Resources

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 87.6%
  • Shell 7.1%
  • Makefile 5.3%
0