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 trainings in Sydney can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Sydney King Street
Level 13, 135 King Street, Sydney, Australia, NSW 2000
The business centre in King Street, Sydney is in the energetic heart of Sydney's CBD, surrounded by major financial instituti...
The business centre in King Street, Sydney is in the energetic heart of Sydney's CBD, surrounded by major financial institutions, blue-chip companies and premier retail stores. The premium office building sits south side of King Street between Pitt and Castlereagh Streets, and houses The Glasshouse, a three level retail centre fronting Pitt Street Mall that includes over 27 specialty retail stores. The business centre is located on level 13 and showcases floor to ceiling glass with spectacular views over the CBD and beyond. High-end retail stores on Castlereagh Street, Pitt St Mall and the Queen Victoria Building are all within a few minutes' walk and undercover access takes you directly to Town Hall and Martin Place Train Stations, and major bus routes are right on your doorstep. You'll find a wide choice of lunchtime options nearby, including some of Sydney's best restaurants and cafes, and Sydney's iconic Hyde Park is only a short stroll. It's an address that's perfectly positioned for your business growth in the future.
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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