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 training can be carried out locally on customer premises in Cambridge or in NobleProg corporate training centers in Cambridge.
NobleProg -- Your Local Training Provider
Cambridge
Compass House, Cambridge, united kingdom, CB24 9AD
Vision Park is within easy reach of
Cambridge city centre and has the
advantage of excellent links with the
M11 and A14.
...
Vision Park is within easy reach of
Cambridge city centre and has the
advantage of excellent links with the
M11 and A14.
Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge.
Guided Bus
Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to Huntingdon (50 minutes), St Ives (15) and Cambridge city centre (15). Onboard, there is air conditioning, free WiFi and power for your laptop and mobile devices. Please see www.thebusway.info for further information.
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 Cambridge (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.
Online OpenCV training in Cambridge, OpenCV training courses in Cambridge, Weekend OpenCV courses in Cambridge, Evening OpenCV training in Cambridge, OpenCV instructor-led in Cambridge, OpenCV one on one training in Cambridge, OpenCV boot camp in Cambridge, OpenCV instructor-led in Cambridge, OpenCV coaching in Cambridge, OpenCV instructor in Cambridge, Online OpenCV training in Cambridge, OpenCV trainer in Cambridge, OpenCV private courses in Cambridge, Weekend OpenCV training in Cambridge, OpenCV on-site in Cambridge, Evening OpenCV courses in Cambridge, OpenCV classes in Cambridge