Qualcomm Robotics RB5/RB6 - FastCV

Qualcomm Robotics RB5/RB6
Introduction
SoM Overview Why the RB5/RB6? 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 Running Inception v3 Running MobileNetV2 + SSD TensorFlow Example pipeline TensorFlow to DLC Conversion
Sensors
IMU
Demos
Drone Demo Smart Camera
Contact Us

The Qualcomm Robotics RB5/RB6 platform provides many tools for developers to work with Artificial Intelligence and Computer Vision applications. In this section, we are going to explore the Hexagon Digital Signal Processor. To work with it, we are using two SDKs: Qualcomm Hexagon DSP SDK and Computer Vision SDK. We will see how to download and install both SDKs, how to use them and an example project. Please check our next sections for more information:

• The Hexagon SDK Installation section covers the steps needed to download the Hexagon SDK and get it ready for work!
• The FastCV Installation section shows the steps to download FastCV, that is the Computer Vision SDK. In it, you'll learn how to use the SDK and get a sample application working.
• The Building your own Fast CV application section shows you the steps needed to develop and get running your own FastCV application!