VA, Stafford - Quantico Corporate

800 Corporate Drive, Suite 301, Stafford, united states, 22554

The venue is located between interstate 95 and the Jefferson Davis Highway, in the vicinity of the Courtyard by Mario...

VA, Fredericksburg - Central Park Corporate Center

1320 Central Park Blvd., Suite 200, Fredericksburg, united states, 22401

The venue is located behind a complex of commercial buildings with the Bank of America just on the corner before the turn ...

VA, Richmond - Two Paragon Place

6802 Paragon Place Suite 410, Richmond, united states, 23230

The venue is located in bustling Richmond with Hampton Inn, Embassy Suites and Westin Hotel less than a mile away.

VA, Reston - Sunrise Valley

12020 Sunrise Valley Dr #100, Reston, united states, 20191
The venue is located just behind the NCRA and Reston Plaza Cafe building and just next door to the United Healthcare building...

VA, Reston - Reston Town Center I

11921 Freedom Dr #550, Reston, united states, 20190
The venue is located in the Reston Town Center, near Chico's and the Artinsights Gallery of Film and Contemporary Art.

VA, Richmond - Sun Trust Center Downtown

919 E Main St, Richmond , united states, 23219
The venue is located in the Sun Trust Center on the crossing of E Main Street and S to N 10th Street just opposite of 7 Eleve...

Explore Our Courses

Computer Vision with OpenCV

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
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Python and Deep Learning with OpenCV 4

14 Hours
This instructor-led, live training in Virginia (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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Raspberry Pi + OpenCV for Facial Recognition

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.
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Testimonials (2)

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper
Course - Computer Vision with OpenCV

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF
Course - Computer Vision with Python
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