Το τοπικό εκπαιδευτικό πρόγραμμα OpenCV (Open Source Computer Vision Library) που βασίζεται σε εκπαιδευτές, επιδεικνύει μέσω διαδραστικής συζήτησης και πρακτικής άσκησης πώς να χρησιμοποιήσει το OpenCV για έργα οράσεως υπολογιστών. Η εκπαίδευση OpenCV είναι διαθέσιμη ως "onsite live training" ή "remote live training". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης
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Testimonials
Η πρακτική προσέγγιση
Kevin De Cuyper
Course: Computer Vision with OpenCV
Machine Translated
Η εύκολη χρήση της λειτουργικότητας VideoCapture για την απόκτηση εικόνων βίντεο από κάμερα με φορητό υπολογιστή.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
Machine Translated
Απολάμβανα τις συμβουλές που έδωσε ο εκπαιδευτής σχετικά με τον τρόπο χρήσης των εργαλείων. Αυτό είναι κάτι που δεν μπορεί να πάρει από το διαδίκτυο και είναι πολύ χρήσιμο.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
Machine Translated
Απολάμβανα τις συμβουλές που έδωσε ο εκπαιδευτής σχετικά με τον τρόπο χρήσης των εργαλείων. Αυτό είναι κάτι που δεν μπορεί να πάρει από το διαδίκτυο και είναι πολύ χρήσιμο.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
Machine Translated
Ήταν εύκολο να το ακολουθήσεις.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
Machine Translated
OpenCV Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
28 hours
Overview
OpenCV (Open Source Computer Vision Library: http://opencv.org) είναι μια open source BSD-licensed βιβλιοθήκη που περιλαμβάνει αρκετές εκατοντάδες αλγορίθμων υπολογιστικής όρασης.
Κοινό
Αυτό το μάθημα απευθύνεται σε μηχανικούς και αρχιτέκτονες που επιδιώκουν να χρησιμοποιήσουν το OpenCV για έργα οράσεως υπολογιστών
Κοινό
Αυτό το μάθημα απευθύνεται σε μηχανικούς και αρχιτέκτονες που επιδιώκουν να χρησιμοποιήσουν το OpenCV για έργα οράσεως υπολογιστών
14 hours
Overview
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.
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 hours
Overview
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.
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.
Other countries
Consulting
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