Qualcomm Robotics RB5/RB6 - Neural Processing SDK

Qualcomm Robotics RB5/RB6
Introduction
SoM Overview Carrier Boards Qualcomm Robotics RB5 developer kit Qualcomm Robotics RB6 platform
Software Development Support
Boot Devices Thundercomm SDK Downloading SDK Installing SDK Generating Image and flashing Linaro Getting Started Flashing Bootloader Flashing Boot Image and Rootfs Special / Debug Modes Setting up board in EDL Mode Setting up board in Fastboot Mode
Development in the Board
Getting into the Board Using ADB Using Serial Console Using SSH Device Setup WiFi setup HDMI setup Update Ubuntu Packages
Build from source
Base Image Customize Image
Capture Subsystem
Hardware Capture Components Software Capture Components Building your own camera sensor driver
Image Processing and Acceleration Software
GPU Profiling Fast CV Installing Hexagon SDK Installing Fast CV Building your own Fast CV application
GStreamer Pipelines
Capture and Display Video Encoding Video Decoding
AI Acceleration
Neural Processing SDK Downloading Requirements Setup SDK Environment Install qtimlesnpe Example Project TensorFlow Example pipeline
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In the section AI Acceleration we had an overview of the options to work Machine Learning/AI applications in the Qualcomm Robotics RB5/RB6. In this section, we are going to cover everything from getting the Neural Processing SDK set up to testing a sample application in the board. As we saw, the Neural Processing SDK for Artificial Intelligence is a software accelerated, inference-only runtime engine for the execution of deep neural networks. The SDK has a wide range of uses, from executing a deep neural network, debugging, analysis, integration of networks to other applications and more. In the following sections, we are going to overview the steps to work with the SDK.

• The Downloading Requirements section covers how to download the Neural Processing SDK in the host computer.
• The Generating Image and Flashing section covers the steps setup the SDK environment for developing.
• The Install qtimlesnpe section covers how to install the qtimlesnpe element in the Qualcomm Robotics RB5/RB6 board.
• The Example project section covers the steps on how to build a sample application and test it.