Yokohama - Kannai Business Center

日本、〒231-0015 神奈川県横浜市中区尾上町4-57横浜尾上町ビルデイング 8階, 横浜, 日本, 231-0015
関内ビジネスセンターはJR関内駅北口から徒歩3分、市営地下鉄ブルーライン関内駅直結の横...

Explore Our Courses

OpenFace: Creating Facial Recognition Systems

14 時間
OpenFace is Python and Torch based open-source, real-time facial recognition software based on Google's FaceNet research. In this instructor-led, live training, participants will learn how to use OpenFace's components to create and deploy a sample facial recognition application. By the end of this training, participants will be able to:
  • Work with OpenFace's components, including dlib, OpenVC, Torch, and nn4 to implement face detection, alignment, and transformation
  • Apply OpenFace to real-world applications such as surveillance, identity verification, virtual reality, gaming, and identifying repeat customers, etc.
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Raspberry Pi + OpenCV for Facial Recognition

21 時間
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.
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お客様の声 (10)

例と演習

Kamil
コース - Introduction to Data Science and AI using Python

Machine Translated

The course is very interesting being the main focus nowdays

mohamed taher - FAB banak Egypt
コース - Introduction to Data Science and AI (using Python)

Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course

Mohamed Ghowaiba - FAB banak Egypt
コース - Introduction to Data Science and AI (using Python)

Helpful and good listener .. interactive

Ahmed El Kholy - FAB banak Egypt
コース - Introduction to Data Science and AI (using Python)

提示されたすべての情報

Jose Victor - si
コース - Artificial Intelligence (AI) for Managers

Machine Translated

演習と例が示されています。

Marcos - si
コース - Artificial Intelligence (AI) for Managers

Machine Translated

機械学習のテーマ。

Víctor Edgar - si
コース - Artificial Intelligence (AI) for Managers

Machine Translated

先生の態度

Ivonne Guadalupe Avendaño Hernandez - si
コース - Artificial Intelligence (AI) for Managers

Machine Translated

教えられた概念は明確かつ実践的で、この AI と ML のトピックの使用方法を理解するのに非常に役立ちました。

Miguel - si
コース - Artificial Intelligence (AI) for Managers

Machine Translated

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc
コース - OptaPlanner in Practice

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コンサルティング

Face Recognition コンサルティング
横浜のFacial Recognitionトレーニングコース, 横浜の週末Facial Recognitionコース, 横浜の夜のFacial Recognitionトレーニング, 横浜のインストラクターによるFace Recognitions, 横浜のインストラクターによるFacial Recognitions, 横浜のオンサイトのFace Recognitionsトレーニング, 横浜のFace Recognitionクラス, 横浜の週末Facial Recognitionトレーニング, 横浜のFacial Recognition1対1のトレーニング, 横浜のFacial Recognitionブートキャンプ, 横浜のFacial Recognitionトレーナー, 横浜の夜のFacial Recognitionコース, 横浜のFace Recognition指導, 横浜のFacial Recognitionプライベートコース, 横浜のFacial Recognitionインストラクター
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