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 instructor-led, live 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.
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.
- Basic understanding of image and video processing.
- Java programming experience.
- Software developers wishing to utilize a rich, plug-in based open-source framework to create image and video processing applications
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
- Video filtering
- 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
Summary and Conclusion