TensorFlow Lite object detection model store - AWS IoT Greengrass
VersionsTypeOperating systemRequirementsDependenciesConfigurationLocal log fileChangelog

TensorFlow Lite object detection model store

The TensorFlow Lite object detection model store (variant.TensorFlowLite.ObjectDetection.ModelStore) is a machine learning model component that contains a pre-trained Single Shot Detection (SSD) MobileNet model as a Greengrass artifact. The sample model used in this component is fetched from the TensorFlow Hub and implemented using TensorFlow Lite.

The TensorFlow Lite object detection inference component uses this component as a dependency for the model source. To use a custom-trained TensorFlow Lite model, create a custom version of this model component, and include your custom model as a component artifact. You can use the recipe of this component as a template to create custom model components.

Versions

This component has the following versions:

  • 2.1.x

Type

This component is a generic component (aws.greengrass.generic). The Greengrass nucleus runs the component's lifecycle scripts.

For more information, see Component types.

Operating system

This component can be installed on core devices that run the following operating systems:

  • Linux

  • Windows

Requirements

This component has the following requirements:

  • On Greengrass core devices running Amazon Linux 2 or Ubuntu 18.04, GNU C Library (glibc) version 2.27 or later installed on the device.

  • On Armv7l devices, such as Raspberry Pi, dependencies for OpenCV-Python installed on the device. Run the following command to install the dependencies.

    sudo apt-get install libopenjp2-7 libilmbase23 libopenexr-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libgtk-3-0 libwebp-dev

  • On Raspberry Pi devices, OpenCV-Python installed on the device. Run the following command to install OpenCV-Python.

    pip3 install opencv-python

Dependencies

When you deploy a component, AWS IoT Greengrass also deploys compatible versions of its dependencies. This means that you must meet the requirements for the component and all of its dependencies to successfully deploy the component. This section lists the dependencies for the released versions of this component and the semantic version constraints that define the component versions for each dependency. You can also view the dependencies for each version of the component in the AWS IoT Greengrass console. On the component details page, look for the Dependencies list.

2.1.4

The following table lists the dependencies for version 2.1.4 of this component.

Dependency Compatible versions Dependency type
Greengrass nucleus >=2.0.0 <2.6.0 Soft
2.1.3

The following table lists the dependencies for version 2.1.3 of this component.

Dependency Compatible versions Dependency type
Greengrass nucleus >=2.0.0 <2.5.0 Soft
2.1.2

The following table lists the dependencies for version 2.1.2 of this component.

Dependency Compatible versions Dependency type
Greengrass nucleus >=2.0.0 <2.4.0 Soft
2.1.1

The following table lists the dependencies for version 2.1.1 of this component.

Dependency Compatible versions Dependency type
Greengrass nucleus >=2.0.0 <2.3.0 Soft
2.1.0

The following table lists the dependencies for version 2.1.0 of this component.

Dependency Compatible versions Dependency type
Greengrass nucleus >=2.0.0 <2.2.0 Soft

Configuration

This component doesn't have any configuration parameters.

Local log file

This component doesn't output logs.

Changelog

The following table describes the changes in each version of the component.

Version

Changes

2.1.4

Version updated for Greengrass nucleus version 2.5.0 release.

2.1.3

Version updated for Greengrass nucleus version 2.4.0 release.

2.1.2

Version updated for Greengrass nucleus version 2.3.0 release.

2.1.1

Version updated for Greengrass nucleus version 2.2.0 release.

2.1.0

Initial version.