isabella232 / meta-tensorflow-lite

Yocto layer for TensorFlow Lite interpreter with Python.

meta-tensorflow-lite (build pip package)

Yocto layer for the TensorFlow Lite interpreter with Python.

The official website is:

• TensorFlow Lite guide
• Python quickstart
• TensorFlow Lite

Reference

• Building TensorFlow Lite Standalone Pip

How to

Quick start for the Raspberry Pi AArch64 (core-image-weston)

# Clone repositories and oe-init-build-env
$ git clone git://git.yoctoproject.org/poky.git
$ git clone git://git.yoctoproject.org/meta-raspberrypi
$ git clone git://git.openembedded.org/meta-openembedded
$ git clone https://github.com/NobuoTsukamoto/meta-tensorflow-lite.git
$ source poky/oe-init-build-env rpi-build

# Add layer
$ bitbake-layers add-layer ../meta-openembedded/meta-oe/
$ bitbake-layers add-layer ../meta-openembedded/meta-python/
$ bitbake-layers add-layer ../meta-openembedded/meta-networking/
$ bitbake-layers add-layer ../meta-openembedded/meta-multimedia/
$ bitbake-layers add-layer ../meta-raspberrypi/
$ bitbake-layers add-layer ../meta-tensorflow-lite/

# Add the package to 'conf/local.conf' file. 
  MACHINE ?= "raspberrypi4-64"
  IMAGE_INSTALL_append = " python3-tensorflow-lite"

# Build
$ bitbake core-image-weston

Notes

• Check only raspberrypi4-64 (aarch64) and raspberrypi4 (armv7l)