Online or onsite, instructor-led live OpenCV (Open Source Computer Vision Library) training courses demonstrate through interactive discussion and hands-on practice how to utilize OpenCV for computer vision projects.
OpenCV 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. Brussels onsite live OpenCV trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Brussels
Business Center Copernico Science14, Rue de la Science 14, Brussels, Belgium, 1040
Most of the European Union's Brussels-based institutions are located within its European Quarter, which is the unofficial nam...
Most of the European Union's Brussels-based institutions are located within its European Quarter, which is the unofficial name of the area corresponding to the approximate triangle between Brussels Park, Cinquantenaire Park and Leopold Park (with the European Parliament's hemicycle extending into the latter). The Commission and Council are located in the heart of this area near to the Schuman station at the Schuman roundabout on the Rue de la Loi. The European Parliament is located over the Brussels-Luxembourg station, next to Luxembourg Square.
The area, much of which was known as the Leopold Quarter for much of its history, was historically residential, an aspect which was rapidly lost as the institutions moved in, although the change from a residential area to a more office oriented one had already been underway for some time before the arrival of the European institutions. Historical and residential buildings, although still present, have been largely replaced by modern offices. These buildings were built not according to a high quality master plan or government initiative, but according to speculative private sector construction of office space, without which most buildings of the institutions would not have been built. However, due to Brussels's attempts to consolidate its position, there was large government investment in infrastructure in the quarter. Authorities are keen to stress that the previous chaotic development has ended, being replaced by planned architecture competitions and a master plan. Architect Benoit Moritz has argued that the area has been an elite enclave surrounded by poorer districts since the mid-19th century, and that the contrast today is comparable to an Indian city. However, he also said that the city has made progress over the last decade in mixing land uses, bringing in more businesses and residences, and that the institutions are more open to "interacting" with the city.
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.
Audience
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
This instructor-led, live training in Brussels (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.
By the end of this training, participants will be able to:
View, load, and classify images and videos using OpenCV 4.
Implement deep learning in OpenCV 4 with TensorFlow and Keras.
Run deep learning models and generate impactful reports from images and videos.
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.
The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.
By the end of this training, participants will be able to:
Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
Configure OpenCV to capture and detect facial images.
Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
Adapt the system for a variety of use cases, including surveillance, identity verification, etc.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
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