Getting Started

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RidgeRun Video Stabilization Library

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RidgeRun Video Stabilization Library

Table of Contents [Sticky]

• Basics and Foundation
  • What is Video Stabilization
  • Video Stabilization Process using IMU
  • Stabilization Algorithms with IMU
  • Video Stabilization Process using Optical Flow
• Getting Started
  • Supported Platforms, Sensors and Backends
  • Evaluating the Library
  • Getting the Code
  • Building the Library
• API Reference
  • Library Architecture
  • Adding New Sensors
  • Adding Algorithms
  • Adding Stabilization Algorithm
  • Adding Backends
  • Adding OpticalFlow Algorithms
  • Adding Transformation Algorithms
  • API Documentation
  • Examples Guidebook
• Library Integration for IMU
  • Preparing the Video
  • Preparing the IMU Measurements
  • Measurement Integration
  • Interpolation
  • Computing the Stabilization
  • Video Undistortion
  • Example Application
• Library Integration for DIS
  • Preparing the Frames
  • Preparing the Runtime Settings
  • Example Application
• GStreamer
  • Add Support for Video Timestamps
  • Add Support for IMU Sensors
  • Video Stabilizer Element
  • Analyzer Element
  • Example Pipelines
• Calibration Process
  • Installing Calibration Tool
  • Camera Calibration
  • IMU Calibration
  • Tuning Process
• Useful Links
  • BMI160 Setup
  • ICM42688 Setup
  • Performance
  • Jetson setup
• Contact Us

The following diagram shows the flow to get started with the tool:

Customer wants the plugin

Request evaluation package

Review dependencies

Install the RidgeRun Video Stabilizer

Check installation & environment

Do you have hardware available?

YES

NO

Test proof of concept

Test with hardware
(live calibration)

Integrate your IMU sensor

Calibrate your sensors

Start live testing

The following sections will guide you through the process of evaluation and acquisition of the source code until the compilation and tests run. The process begins with:

1. Inspecting if your platform and/or backend is supported.
2. Getting an evaluation version of the library to see if it matches your needs.
3. Getting the source code.
4. Building the code and executing the tests.

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