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. Onsite live OpenCV trainings in Manchester can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Manchester
Oxford Street, Manchester, united kingdom, M1 5AN
DIRECTIONS
The office and training rooms are located under a 7 minute walk from Manchester Oxford Road Railway Sta...
DIRECTIONS
The office and training rooms are located under a 7 minute walk from Manchester Oxford Road Railway Station and a 10 minute walk from Deansgate Railway Station.
Peter House business center occupies a landmark building at a prominent central location in Manchester's established and vibrant business district, with city views overlooking Barbirolli Square and St. Peter's Square. A stunning central atrium fills the ground floor and reception with an abundance of natural light. The building is conveniently located with car parks, transport links and retail and leisure facilities on the doorstep. Recently ranked as the second best place to do business in the UK, the city is the UK's fifth largest financial center outside London. Manchester has a growing economy with many people (90,000) employed in financial services. It is also a centre for life sciences, professional services, creative, cultural and media, communications and manufacturing. The centre has 12 meeting rooms and conference suites.
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 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.
This instructor-led, live training in Manchester (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.
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