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. The US onsite live OpenCV trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

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Testimonials

★★★★★

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course: Computer Vision with OpenCV

The easy use of the VideoCapture functionality to acquire video images from laptop camera.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course: Computer Vision with OpenCV

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course: Computer Vision with OpenCV

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course: Computer Vision with OpenCV

It was easy to follow.

HP Printing and Computing Solutions, Sociedad Limitada Unipe

Course: Computer Vision with OpenCV

OpenCV Course Outlines

Course Name

Duration

Overview

Course Name

Duration

Overview

Computer Vision with OpenCV

28 hours

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

Raspberry Pi + OpenCV for Facial Recognition

21 hours

This instructorled, live training introduces the software, hardware, and stepbystep 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 realworld environments Adapt the system for a variety of use cases, including surveillance, identity verification, etc Audience Developers Hardware/software technicians Technical persons in all industries Hobbyists Format of the course Part lecture, part discussion, exercises and heavy handson 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 .

Python and Deep Learning with OpenCV 4

14 hours

This instructor-led, live training in the US (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.

Last Updated: 2021-12-08