Upcoming Training Courses from Kitware Europe
Kitware Europe will give 13 online training courses in March and April.
Kitware’s professional training courses offer the best opportunity to gain an in-depth understanding of our open-source products as part of a high quality, cross-platform software development process. Tailored to your expertise level and your needs, these courses allow both users and developers to discover or master the benefit of tools such as CMake, ITK, ParaView, 3D Slicer or VTK.
March 13-14, 2023 | 9am to 5pm CET / GMT+1h | Online
This CMake training covers in depth how CMake works and how to efficiently write CMake scripts for small to larger projects. The second part of the training covers advanced usage of CMake, and notably packaging with CPack, continuous integration with CDash and download, configure and build automatically project dependencies with ExternalProject. This CMake training mixes theory and application with a set of tutorials and exercises.
March 15, 2023 | 9am to 5pm CET / GMT+1h | Online
This training will introduce the common uses of the ActiViz toolbox using a practice-oriented methodology ActiViz is the C # and .Net wrapping (Visual Basic,…) of the Visualization Toolkit. ActiViz offers numerous functionalities and allows easy integration of 2D / 3D visualization in .Net applications and access to numerous digital post-processing algorithms offered by the library.This training mixes theory and application with a set of tutorials and exercises.
Introduction to Kitware web technologies
March 16, 2023 | 9am to 5pm CET / GMT+1h | Online
The goal of the training is to get a somehow exhaustive overview of the different Kitware visualization-over-the-web technologies, especially local rendering, remote rendering, data management and geospatial data visualisation. Participants will be able to setup, run and play with the different web solutions to get a concrete feel of the tools. While we won’t get in-depth on each presented technologies, the goal is to understand the difference between the Kitware web technologies.
March 17, 2023 | 9am to 5pm CET / GMT+1h | Online
March 20, 2023 | 9am to 5pm CET / GMT+1h | Online
TK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.
March 21, 2023 | 9am to 5pm CET / GMT+1h | Online
3DSlicer is a visualization and analysis software dedicated to image data. Its intuitive GUI allows for using advanced image processing algorithm through open source libraries. The design originally focused on research projects directly or indirectly related to imaging. 3DSlicer is now used world-wide, in a variety of projects running from medical imaging to astronomy. The objectives of this course will interest users of scientific visualization tools, but also developers willing to customize the interface.
March 22-23, 2023 | 9am to 5pm CET / GMT+1h | Online
This training covers how to get started with machine learning in the medical field. The first day will cover a broad overview of the state of the art of machine learning in the medical field. We will then see how to explore, analyse and process volume data manually using 3D Slicer. The second day will be dedicated to the MONAI (Medical Open Network for AI) library with an in depth introduction to its features and hands on application on segmentation use case. Finally, we will look at how to deploy MONAI based machine learning algorithms in existing software
March 27, 2023 | 9am to 5pm CET / GMT+1h | Online
ParaView is an open-source, multi-platform scientific data analysis and visualization tool that enables analysis and visualization of extremely large datasets. ParaView is both a general purpose, end-user application with a distributed architecture that can be seamlessly leveraged by your desktop or other remote parallel computing resources and an extensible framework with a collection of tools and libraries for various applications including scripting (using Python), web visualization (through ParaViewWeb), or in-situ analysis (with Catalyst).
March 28, 2023 | 9am to 5pm CET / GMT+1h | Online
This course is an advanced ParaView course. It is recommended for users and developers who have a good knowledge of ParaView’s user interface and who want to extend the capabilities of ParaView through Python.
The training mixes theory and application with a set of tutorials and exercises.
VTK for Data Exploration & Visualization
March 29, 2023 | 9am to 5pm CET / GMT+1h | Online
VTK (the Visualization Toolkit) is an open-source, freely available software system for scientific visualization. Initiated in 1993, this library is now available in version 9.0.3 and is already used in various applications: ParaView, 3D Slicer, PyVista, vedo, TTK … it can even be used in Blender and Unity. In this training, we will see the basics of VTK and create analysis and visualisation pipelines. Then we will see how to manage input and output and create custom processing filters, for data in 2D, 3D or more. At the end, we will learn how to quickly prototype an analysis with PyVista, ParaView or in a Jupyter Notebook.
VTK for Application Developers
March 30, 2023 | 9am to 5pm CET / GMT+1h | Online
This course introduces the main concepts of the Visualization Toolkit (VTK) from the 2D/3D visualization to the more complex post-processing pipelines and integration in existing applications. The examples are based on use cases from several scientific domains. The training mixes theory and application with a set of tutorials and exercises.
April 3, 2023 | 9am to 12pm CET / GMT+1h | Online
This training covers how to get started with LidarView and integrate it in your workflow. Using Velodyne’s sensor data, you will learn how to visualize, format and exploit Lidar Data. This half a day hands-on session will cover LidarView’s core visualization features, interoperability options and ecosystem you can leverage to tailor the best solution for your own use-cases.
April 4, 2023 | 9am to 5pm CET / GMT+1h | Online
This training covers how to get started with Lidar SLAM. In the morning, the SLAM theoretical approach will be discussed. The state of the art algorithms will be briefly explained and the Kitware SLAM pipeline will be developed in detail. This theoretical explanation will be linked with the current library code. In the afternoon, we will take a look at Kitware SLAM wrappings : ROS and LidarView. They allow to use the algorithm online or on PCAP/rosbag files and to get visual feedback. The parameters, modes, and available features will be described and tested.