Les cours de formation en ligne OpenCV (Open Source Computer Vision Library) en direct, sous la direction d'un instructeur, démontrent par des discussions interactives et des pratiques pratiques comment utiliser OpenCV pour des projets de vision par ordinateur La formation OpenCV est disponible en tant que «formation en direct sur site» ou «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client France ou dans les centres de formation d'entreprise NobleProg à France La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant NobleProg Votre fournisseur de formation local.
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Nos Clients témoignent
J'ai vraiment apprécié l'approche pratique.
Kevin De Cuyper
Formation: Computer Vision with OpenCV
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L’utilisation facile de la fonctionnalité VideoCapture pour acquérir des images vidéo à partir d’un appareil photo pour ordinateur portable.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Formation: Computer Vision with OpenCV
Machine Translated
J'ai apprécié les conseils du formateur sur l'utilisation des outils. C'est quelque chose qui ne peut pas être obtenu à partir d'Internet et qui est très utile.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Formation: Computer Vision with OpenCV
Machine Translated
J'ai apprécié les conseils du formateur sur l'utilisation des outils. C'est quelque chose qui ne peut pas être obtenu à partir d'Internet et qui est très utile.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Formation: Computer Vision with OpenCV
Machine Translated
C'était facile à suivre.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Formation: Computer Vision with OpenCV
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Plans de cours OpenCV
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
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
Audience
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
21 hours
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.
14 hours
This instructor-led, live training in France (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.
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:
Prochains cours OpenCV
Raspberry Pi + OpenCV for Facial Recognition
22-02-2022 09:30
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Python and Deep Learning with OpenCV 4
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Python and Deep Learning with OpenCV 4
08-03-2022 09:30
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Computer Vision with OpenCV
22-03-2022 09:30
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Computer Vision with OpenCV
22-03-2022 09:30
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