Installing R2Inference

🚧 Documentation under development

The Getting started with AI on NXP i.MX8M Plus guide is currently under active development. Some sections may be incomplete or change without notice.

Questions? Contact RidgeRun or email to support@ridgerun.com.

Getting started with AI on NXP i.MX8M Plus
Introduction
Overview i.MX8M Plus hardware specifications Development tools Development kit DART-MX8M-PLUS Development kit Quick getting started Yocto minimal image Flashing SD card First steps on the board
Development
Gatesgarth and Hardknott Yocto versions Downloading Yocto images for NXP based BSP Building an imx-core-image Flashing SD card Integrating multimedia software stack Installing GStreamer Installing OpenCV Integrating Artificial Intelligence software stack Installing TensorFlow Lite for NXP based images Installing R2Inference Installing GstInference Developing software for the board Building the SDK Crosscompiling apps for GStreamer, TensorFlow Lite, and OpenCV Exploring TensorFlow Lite delegates for prototyping
Neural Processing Unit
Introduction Profiling the NPU Installing gputop Setting the board on debug mode Use Case experiments: Smart Parking Introduction to the use case License Plate Detection TinyYOLO version 3 Training a model compatible with GstInference License Plate Recognition Rosetta Getting the model prototyping Bash scripts for CPU usage and time estimation Serial experiments Parallel Experiments Results
GStreamer
Exploring Rosetta element for character recognition Example pipelines Smart Parking Video inferences Image inferences Video streaming
Contact Us

Download the meta-ridgerun recipes

Once you have a Yocto environment, please go to the sources files in order to download the meta-ridgerun, where the r2inference recipe is located:

cd $HOME/<your image folder>/sources

git clone https://github.com/RidgeRun/meta-ridgerun.git

Find the bblayers.conf at:

cd $HOME/<your image folder>/<your build directory>/conf/

In the bblayers.conf please add the following line at the end of the file:

BBLAYERS += "${BSPDIR}/sources/meta-ridgerun"

Configuring and build r2inference

Go to the r2inference recipe at:

cd $HOME/<your image folder>/sources/meta-ridgerun/recipes-multimedia/r2inference

Now ensure that your recipe looks like the following:

SUMMARY = "RidgeRun's Inference Library"
DESCRIPTION = "A machine learning library for easy inference integration"
HOMEPAGE = "https://developer.ridgerun.com/wiki/index.php?title=R2Inference"
SECTION = "multimedia"
LICENSE = "LGPL2.1"

LIC_FILES_CHKSUM = "file://COPYING;md5=a079f37f0484c6a88e7b23a94d6326c5"

DEPENDS = "tensorflow-lite glib-2.0"

# FIXME: change branch
SRCBRANCH ?= "feature/add-support-tflite-2.4"
# FIXME: change commit
SRCREV = "9bcc2080e34d2b60fbd6b59f2132667422073ba7"
SRC_URI = "git://github.com/RidgeRun/r2inference;protocol=https;branch=${SRCBRANCH}"

# Enabling TensorFlow Lite and NNAPI backends:
EXTRA_OEMESON += " -Denable-nnapi=true -Denable-tflite=true -Denable-tests=disabled -Denable-docs=disabled"

# Adding the path where the TensorFlow Headers are read by the recipe
TENSORFLOW_PATH="../recipe-sysroot/usr/include/"
CXXFLAGS="-I${TENSORFLOW_PATH}/tensorflow/lite -I${TENSORFLOW_PATH}/tensorflow/lite/tools/make/downloads/flatbuffers/include"

S = "${WORKDIR}/git"

FILES_${PN} += "${libdir}/libr2inference.so"

inherit meson pkgconfig gettext

RDEPENDS_${PN} = "ninja python3-core python3-modules"

In the local.conf file, please add the following line in order to build the r2inference library inside the image:

IMAGE_INSTALL_append += "r2inference"

Building the image with the changes in local.conf and bblayers.conf

cd $HOME/<your image folder>

source setup-environment <your build directory>

bitbake imx-image-core