Skip to content
Tools and examples for getting started with object detection + classification tasks on Raspberry Pi, using Tensorflow 2.0 and Keras. READ ME FIRST: https://medium.com/@grepLeigh/portable-computer-vision-tensorflow-2-0-on-a-raspberry-pi-part-1-of-2-84e318798ce9
Python Shell Makefile
Branch: master
Clone or download
#4 Compare This branch is 17 commits ahead of leigh-johnson:master.

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.env Updated to Python 3.7 Aug 28, 2019
.github Update issue templates Jul 5, 2019
docs changed links Aug 28, 2019
includes add tflite_convert_from_keras_model fn, include converted model Jun 28, 2019
job-output/flowers-1562295737.2161942 add flower transfer learning weights Jul 5, 2019
playbooks Updated to grab from this repo Aug 28, 2019
rpi_vision example of text-labeled output Aug 31, 2019
tests Added screen auto-sizing and splash centering Sep 3, 2019
tools rm --no-deps flag from edgetpu api install script Jun 29, 2019
.editorconfig initial commit via cookiecutter-pypackage Jun 8, 2019
.gitignore add data/ to gitignore Jul 5, 2019
.travis.yml changed links Aug 28, 2019
AUTHORS.rst initial commit via cookiecutter-pypackage Jun 8, 2019
CODE_OF_CONDUCT.md Create CODE_OF_CONDUCT.md Jul 5, 2019
CONTRIBUTING.rst initial commit via cookiecutter-pypackage Jun 8, 2019
HISTORY.rst initial commit via cookiecutter-pypackage Jun 8, 2019
LICENSE initial commit via cookiecutter-pypackage Jun 8, 2019
MANIFEST.in Merge branch 'release-v1.0.0' Jun 24, 2019
Makefile
README.md Updated Readme Sep 4, 2019
README.rst Updated Readme Sep 4, 2019
requirements_dev.txt Adding empty requirements Aug 30, 2019
setup.cfg initial commit via cookiecutter-pypackage Jun 8, 2019
setup.py Added pygame to setup requirements Sep 4, 2019
tox.ini declaring previously undeclared env Aug 30, 2019

README.md

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

You can’t perform that action at this time.