Online or onsite, instructor-led live Marvin training courses demonstrate through interactive hands-on practice the principles of image and video analysis, and how to utilize the Marvin Framework and its image processing algorithms to construct an application.
Marvin training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Marvin training can be carried out locally on customer premises in Ghent or in NobleProg corporate training centers in Ghent.
NobleProg -- Your Local Training Provider
Ghent
Hotel NH Gent Belfort, Hoogpoort 63, Ghent, Belgium, 9000
There are 10 function rooms, 3 of them with natural daylight.
The largest room holds up to 400 people theatre-style for meet...
There are 10 function rooms, 3 of them with natural daylight.
The largest room holds up to 400 people theatre-style for meetings, or we can make it into a great space for a wedding reception.
And if you have cocktails or another special event in mind, you must let us show you our fabulous vaulted cellar.
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.
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