OpenCVのトレーニングコース

OpenCVのトレーニングコース

オンラインまたはオンサイトのインストラクター主導のライブOpenCV(オープンソース・コンピュータビジョン・ライブラリ)トレーニングコースでは、コンピュータビジョン・プロジェクトにOpenCVを利用する方法をインタラクティブなディスカッションと実践的な演習を通じて実演します。

OpenCVトレーニングは、「オンラインライブトレーニング」または「オンサイトライブトレーニング」として利用できます。オンラインライブトレーニング(別名「リモートライブトレーニング」)は、インタラクティブなリモートデスクトップを使用して実行されます。現地でのライブトレーニングは、日本のお客様のオフィスまたは日本のNobleProg提携の企業トレーニングセンターでにて現地での実施が可能です。

NobleProg - 現地のトレーニングプロバイダー

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OpenCVコース概要

コース名
期間
概要
コース名
期間
概要
28 時間
概要
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 時間
概要
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 時間
概要
This instructor-led, live training in 日本 (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.

今後のOpenCVコース

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