Cursuri OpenCV

Cursuri OpenCV

Instruiunile OpenCV (Open Source Computer Computer Vision Library) de instruire locală, instruite live, demonstrează prin discuții interactive și practici de manevră cum să utilizeze OpenCV pentru proiecte de viziune pe calculator Instruirea OpenCV este disponibilă ca "formare live la fața locului" sau "instruire live la distanță" Training-ul live la fața locului poate fi efectuat la fața locului la sediul clientului Moldova sau în centrele de formare corporativa NobleProg din Moldova Instruirea live la distanță este realizată printr-un desktop interactiv, la distanță NobleProg Furnizorul dvs de formare locală.

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OpenCV Course Outlines

Numele cursului
Durata
Sinoptic
Numele cursului
Durata
Sinoptic
28 hours
Sinoptic
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
21 hours
Sinoptic
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.
14 hours
Sinoptic
This instructor-led, live training in Moldova (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.

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