14 hours (üblicherweise 2 Tage inklusive Pausen)
Marvin is an extensible, cross-platform, open-source image and video processing framework developed in Java. Developers can use Marvin to manipulate images, extract features from images for classification tasks, generate figures algorithmically, process video file datasets, and set up unit test automation.
Some of Marvin's video applications include filtering, augmented reality, object tracking and motion detection.
In this course participants will learn the principles of image and video analysis and utilize the Marvin Framework and its image processing algorithms to construct their own application.
Software developers wishing to utilize a rich, plug-in based open-source framework to create image and video processing applications
Format of the course
The basic principles of image analysis, video analysis and the Marvin Framework are first introduced. Students are given project-based tasks which allow them to practice the concepts learned. By the end of the class, participants will have developed their own application using the Marvin Framework and libraries.
Introduction to Marvin
Downloading and installing Marvin
Setting up an Eclipse development environment
The three layers of the Marvin architecture
Components and libraries
Image processing in Marvin
Video processing in Marvin
Multi-threading in Marvin
Unit testing in Marvin
Working with MarvinEditor
Creating an application with Marvin
Working with plug-ins
Testing the application
Image subtraction and combination
Face features detection
Real time tracking of multiple blobs
Partial shape matching
Skin-colored pixels detection
Using Marvin Framework for test automation
Extending the framework
Contributing to the project
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