Online or onsite, instructor-led live OpenCV (Open Source Computer Vision Library) training courses demonstrate through interactive discussion and hands-on practice how to utilize OpenCV for computer vision projects.
OpenCV training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Montevideo onsite live OpenCV trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Montevideo - La Cumparsita
1282 Ituzaingo Street, Montevideo, uruguay
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the ...
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the oldest part of the capital city of Montevideo, near the main square of Plaza Independencia. In recent years, this neighborhood (which for several decades was the country's political and economic center of the city) has undergone an impressive regeneration. Renowned for its art deco buildings, colonial houses and landmarks, including the neoclassical Solis Theater, it is also Uruguay's main port and home to the 'Mercado del Puerto', a former market and venue for traditional Uruguayan food and drink.
More than just a contemporary glass facade, this building impresses from the start with its double-height ceiling lobby and rooftop terrace, ideal for lazy lunches or networking evenings. Every workspace is flooded with natural light, from private offices to elegant meeting rooms and bustling common areas. Connect with our thriving community of like-minded professionals and soak up the entrepreneurial spirit. Best of all, getting here couldn't be easier: the Buenos Aires bus stop, Estación Central train station and Montevideo ferry terminal are just steps away.
Montevideo, World Trade Center III
Av. Luís Alberto Herrera y Av. Veintiséis de Marzo, Montevideo, uruguay
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-stor...
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-story renovated World Trade Center third tower and is situated in the vibrant, growing Buceo area. The building, which is connected to the other towers by a lively inner square, is close to the government and embassy district, as well as being next to Montevideo's shopping hub. The square, known as Plaza las Torres, includes famous sculptures. More than 200 companies are established at WTC Montevideo, mostly global banks, airlines and multinationals, alongside telecoms, financial and legal firms. Uruguay's workforce is well educated and boasts a high literacy rate. The country's main industries include beef exports, wool and leather, and it has a strong IT sector. The center is 30 minutes from the international airport, 10 minutes from the bus station and 20 minutes from the harbor.
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
This instructor-led, live training in Montevideo (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.
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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