# Getting started

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/getting-started.html](https://docs.qualcomm.com/doc/80-70014-54/topic/getting-started.html)

This information explains how to run TensorFlow Lite models on the RB3 Gen 2 Vision
        kit.

Before you get started, do the following:

- Set up the RB3 Gen 2 Vision kit with camera. For instructions, see [RB3
                    Gen 2 Quick Start Guide](bundle/publicresource/topics/80-70014-253).
- Set up the host machine for secure shell (SSH) connection to the RB3 Gen 2 Vision
                kit.
- Connect the RB3 Gen 2 Vision kit to a monitor through HDMI.
- Upgrade your RB3 Gen 2 Vision kit with the latest software release available on
                    [CodeLinaro Artifactory Service](https://artifacts.codelinaro.org/ui/native/qli-ci/flashable-binaries/).
- Flash the image to the device. For instructions, see [Flash images](https://docs.qualcomm.com/bundle/publicresource/topics/80-70014-254/flash_images.html).

Note: Enable SSH in the Permissive mode to securely access your host
            device. For instructions, see [How to SSH?](https://docs.qualcomm.com/bundle/publicresource/topics/80-70014-254/how_to.html#how-to-ssh-).

- **[Run a TensorFlow Lite model using the Gstreamer-based Qualcomm® Intelligent Multimedia SDK (IM SDK)](https://docs.qualcomm.com/doc/80-70014-54/topic/run-a-tensorflow-lite-model-using-the-gstreamer-based-qim-sdk.html)**  

The RB3 Gen 2 Vision kit ships with precompiled end-to-end TensorFlow Lite sample         applications to run sample TensorFlow Lite models.
- **[Run a TensorFlow Lite model using a native TensorFlow Lite sample application](https://docs.qualcomm.com/doc/80-70014-54/topic/run-a-tensorflow-lite-model-using-a-native-tensorflow-lite-sample-application.html)**  

You can run TensorFlow Lite models using a sample TensorFlow Lite tool called Label         Image, which is a part of the TensorFlow repository.

Last Published: Jul 12, 2024

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