Online or onsite, instructor-led live Image Analysis training courses in Portsmouth.
Portsmouth
Building 1000, Lakeside North Harbour, Western Road, Portsmouth, united kingdom, PO6 3EZ
The training rooms are located within a 20 minute walk from Cosham Railway station. A taxi service from the station is als...
The training rooms are located within a 20 minute walk from Cosham Railway station. A taxi service from the station is also available.
While you are enjoying your NobleProg training course in Portsmouth try to make time to visit the Portsmouth and Southsea waterfront locations which are becoming a a favourite location as a waterfront destination and offers a great mix of history, heritage, shopping, bars, restaurants and entertainment.
Take a walk around Portsmouth historic Dockyard where you can learn about life on board three of the world's most famous warships ever built, HMS Victory, HMS Warrior 1860 and the Mary Rose. Visit the National Museum of the Royal Navy, which is one of the UK's leading maritime museums. You can even take a tour around Portsmouth Harbour aboard one of the modern and comfortable boats and see the ships of the modern Royal Navy fleet in port.
Visit The Spinnaker Tower is a national icon. It is a striking viewing tower on the south coast offering the public spectacular views from 3 platforms
Next it is well worth visiting Gunwharf Quays' which is a spectacular waterfront location and integrates the maritime heritage of Portsmouth with a mix of designer outlets, cosmopolitan bars and restaurants. There is also 'The Spinnaker Tower' which is now a national icon and offers spectacular views across Portsmouth and the Isle of Wight from the 3 viewing platforms.
See: 'visitportsmouth.co.uk' for more information on what to see and do in Portsmouth.
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.
Format of the Course
This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
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.
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.
In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.
By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.
Audience
Data scientists and engineers, especially with interest in image processing and facial recognition
Format of the course
Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
PaddlePaddle (PArallel Distributed Deep LEarning) is a scalable deep learning platform developed by Baidu.
In this instructor-led, live training, participants will learn how to use PaddlePaddle to enable deep learning in their product and service applications.
By the end of this training, participants will be able to:
Set up and configure PaddlePaddle
Set up a Convolutional Neural Network (CNN) for image recognition and object detection
Set up a Recurrent Neural Network (RNN) for sentiment analysis
Set up deep learning on recommendation systems to help users find answers
Predict click-through rates (CTR), classify large-scale image sets, perform optical character recognition(OCR), rank searches, detect computer viruses, and implement a recommendation system.
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Fiji is an open-source image processing package that bundles ImageJ (an image processing program for scientific multidimensional images) and a number of plugins for scientific image analysis.
In this instructor-led, live training, participants will learn how to use the Fiji distribution and its underlying ImageJ program to create an image analysis application.
By the end of this training, participants will be able to:
Use Fiji's advanced programming features and software components to extend ImageJ
Stitch large 3d images from overlapping tiles
Automatically update a Fiji installation on startup using the integrated update system
Select from a broad selection of scripting languages to build custom image analysis solutions
Use Fiji's powerful libraries, such as ImgLib on large bioimage datasets
Deploy their application and collaborate with other scientists on similar projects
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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Testimonials (1)
The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.
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