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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

In this section, we will add supplementary material.

• BMI160: provides information of how to connect the BMI160 IMU to an NVIDIA Jetson board.
• ICM42688: provides information of how to connect the ICM42688 IMU to an NVIDIA Jetson board.
• Performance: provides information of how the performance of RVS.
• NVIDIA Jetson Setup: Describes how to install all required dependencies and components on NVIDIA Jetson platforms.
• Calculate IMU and Camera Timestamp Offset: Explains how to compute synchronization offset between IMU and camera streams.

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