Other tools

This page introduces the user to other tools that may be useful.

• Tutorial: Real-time curves plotter tool
  This tutorial explains how to plot curves in real-time during a visual servo.
• Tutorial: Debug and trace printings
  This tutorial explains how to introduce trace in the code that could be enabled for debugging or disabled.
• Tutorial: Threaded PCL viewer
  This tutorial explains how to use a threaded PCL-based point cloud visualizer.
• Tutorial: Using JSON serialization to save your data and read program arguments
  This tutorial explains how to read and save data in the portable JSON format. It focuses on saving the data generated by a visual servoing experiment and exporting it to Python in order to generate plots.
• Tutorial: Generating synthetic data for deep learning with Blenderproc
  This tutorial shows you how to easily generate synthetic data from the 3D model of an object and obtain various modalities. This data can then be used to train a neural network for your own task.
• Tutorial: Using Statistical Process Control to monitor your signal
  This tutorial shows you how to monitor if a signal is "in control" using Statistical Process Control methods.
• Tutorial: Using Unscented Kalman Filter to filter your data
  This tutorial shows you how to use an Unscented Kalman Filter to filter data when the model and/or measurements are non-linear.
• Tutorial: Using Particle Filter to filter your data
  This tutorial shows you how to use a Particle Filter to filter data when the model and/or measurements are non-linear.
• Tutorial: Using Particle Filter to model a wire using polynomial interpolation
  This tutorial shows you how to use a Particle Filter to model a wire using polynomial interpolation.
• Tutorial: Read / Save arrays of data from / to NPZ file format
  This tutorial shows you how to read / save arrays of data from / to NPZ file format, a binary format compatible with the NumPy library.