OpenCV Opplæringskurs

OpenCV Opplæringskurs

Local, instructorled live OpenCV (Open Source Computer Vision Library) training courses demonstrate through interactive discussion and handson practice how to utilize OpenCV for computer vision projects

OpenCV training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop

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OpenCV Kursplaner

Kursnavn
Varighet
Oversikt
Kursnavn
Varighet
Oversikt
28 timer
Oversikt
OpenCV (Open Source Computer Vision Library: http://opencv.org) er et åpen kildekode-BSD-lisensiert bibliotek som inkluderer flere hundre datamaskinvisjonsalgoritmer.

Publikum

Dette kurset er rettet mot ingeniører og arkitekter som søker å benytte seg av OpenCV til prosjekter med datasyn
14 timer
Oversikt
OpenCV is a library of programming functions for deciphering images with computer algorithms. OpenCV 4 is the latest OpenCV release and it provides optimized modularity, updated algorithms, and more. With OpenCV 4 and Python, users will be able to view, load, and classify images and videos for advanced image recognition.

This instructor-led, live training (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.

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.
21 timer
Oversikt
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.

Kommende OpenCV Kurs

Helg OpenCV kurs, kveld OpenCV trening, OpenCV boot camp, OpenCV instruktørledet, Helg OpenCV trening, Kveld OpenCV kurs, OpenCV coaching, OpenCV instruktør, OpenCV trener, OpenCV kurs, OpenCV klasser, OpenCV on-site, OpenCV private kurs, OpenCV tomannshånd trening

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Kursrabatter Nyhetsbrev

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