Online or onsite, instructor-led live Computer Vision training courses demonstrate through interactive discussion and hands-on practice the basics of Computer Vision as participants step through the creation of simple Computer Vision apps.
Computer Vision 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. Onsite live Computer Vision training can be carried out locally on customer premises in Ontario or in NobleProg corporate training centers in Ontario.
NobleProg -- Your Local Training Provider
Ottawa - Albert & Metcalfe
116 Albert Street, Ottawa, Canada, K1P 5G3
Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes...
Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes away.
On the top floor of a distinctive office tower that's highly visible from Highway 417, you'll find Regus 343 Prest...
On the top floor of a distinctive office tower that's highly visible from Highway 417, you'll find Regus 343 Preston Centre in Ottawa. Only a 10 minute drive from downtown Ottawa, a short stroll away from Dow’s Lake, and located near the lively intersection of Preston & Gladstone in Little Italy.
Mississauga - Airways
5925 Airport Road, Mississauga, Canada, L4V 1W1
Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport off...
Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport offering shuttle services. Adjacent to Highways 409 and 427, our center is easily accessible.
Oakville - Winston Park
2010 Winston Park Drive, Oakville, Canada, L6H 5R7
The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington...
The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington and Hamilton to the west and Mississauga and Toronto to the East.
West Toronto - Etobicoke
10 Four Seasons Place, Toronto, Canada, M9B 6H7
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississau...
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississauga. Easily accessible by public transportation (bus) and is 5 minutes from the local subway station.
Toronto - Toronto Street
36 Toronto Street, Toronto, Canada, M5C 2C5
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 m...
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 minutes away.
London - London City Centre
380 Wellington Street, London, Canada, N6A 5B5
The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.
...
The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.
Barrie - 49 High Street
49 High Street, Barrie, Canada, L4N 5J4
Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great con...
Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great connectivity – our central office space is just a few minutes’ drive from Highway 400
Brampton - Brampton County Court
2 County Court Blvd, Brampton, Canada, L6W 3W
The Brampton County Court business centre in Ontario is located in a modern building near the Grenville and William Davis ...
The Brampton County Court business centre in Ontario is located in a modern building near the Grenville and William Davis Court House in the downtown business district.
Brampton - 2 County Court
2 County Court Boulevard, Brampton, Canada, L6W 3W8
Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third ...
Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third largest city in Greater Toronto enjoys great transport links, while Toronto’s international airport is under 10 miles away.
Kitchener - 22 Frederick Street
22 Frederick Street, Kitchener, canada, N2H 6M6
Prominent office space in downtown location
Establish your business in the heart of downtown Kitchener. Work alongside leadi...
Prominent office space in downtown location
Establish your business in the heart of downtown Kitchener. Work alongside leading finance and insurance companies at our 22 Frederick Street offices on the corner of Frederick Street, giving you easy access to local amenities.
Richmond Hill - The Business Exchange
9225 Leslie Street, Richmond Hill, Canada, L4B 3H6
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern sub...
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern suburbs, our The Business Exchange workspace is just a 30-minute drive from central Toronto and the International Airport.
Scarborough – 10 Milner Business Court
10 Milner Business Court, Scarborough, Canada, M1B 3C6
The Milner Court centre occupies the third floor of a corner property. The centre is easy to get to by public transpo...
The Milner Court centre occupies the third floor of a corner property. The centre is easy to get to by public transport, both by bus and the rapid transit system.
Maximise opportunities in this forward-thinking city, a centre of knowledge that's home to several tech giants. Our well-conn...
Maximise opportunities in this forward-thinking city, a centre of knowledge that's home to several tech giants. Our well-connected 180 Northfield Drive West centre is on the city's Corporate Campus near the prestigious University of Waterloo.
This instructor-led, live training in Ontario (online or onsite) is aimed at intermediate to advanced-level developers, researchers, and data scientists who wish to learn how to implement real-time object detection using YOLOv7.
By the end of this training, participants will be able to:
Understand the fundamental concepts of object detection.
Install and configure YOLOv7 for object detection tasks.
Train and test custom object detection models using YOLOv7.
Integrate YOLOv7 with other computer vision frameworks and tools.
Troubleshoot common issues related to YOLOv7 implementation.
SimpleCV is an open source framework — meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It’s helps you build software to make your various technologies not only see the world, but understand it too.
Audience
This course is directed at engineers and developers seeking to develop computer vision applications with SimpleCV.
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
This course explores the application of Caffe as a Deep learning framework for image recognition using MNIST as an example
Audience
This course is suitable for Deep Learning researchers and engineers interested in utilizing Caffe as a framework.
After completing this course, delegates will be able to:
understand Caffe’s structure and deployment mechanisms
carry out installation / production environment / architecture tasks and configuration
Marvin is an extensible, cross-platform, open-source image and video processing framework developed in Java. Developers can use Marvin to manipulate images, extract features from images for classification tasks, generate figures algorithmically, process video file datasets, and set up unit test automation.
Some of Marvin's video applications include filtering, augmented reality, object tracking and motion detection.
In this instructor-led, live course participants will learn the principles of image and video analysis and utilize the Marvin Framework and its image processing algorithms to construct their own application.
Format of the Course
The basic principles of image analysis, video analysis and the Marvin Framework are first introduced. Students are given project-based tasks which allow them to practice the concepts learned. By the end of the class, participants will have developed their own application using the Marvin Framework and libraries.
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.
By the end of this training, participants will be able to:
Understand the basics of Computer Vision
Use Python to implement Computer Vision tasks
Build their own face, object, and motion detection systems
Audience
Python programmers interested in Computer Vision
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training in Ontario (online or onsite) is aimed at developers who wish to build a self-driving car using deep learning techniques.
By the end of this training, participants will be able to:
Use Keras to build and train a convolutional neural network.
Use computer vision techniques to identify lanes in an autonomos driving project.
Train a deep learning model to differentiate traffic signs.
This instructor-led, live training in Ontario (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data.
By the end of this training, participants will be able to:
Install and configure the necessary development environment, software and libraries to begin developing.
Build, train, and deploy deep learning models to analyze live video feeds.
Identify, track, segment and predict different objects within video frames.
Optimize object detection and tracking models.
Deploy an intelligent video analytics (IVA) application.
This instructor-led, live training in Ontario (online or onsite) is aimed at back-end developers and data scientists who wish to incorporate pre-trained YOLO models into their enterprise-driven programs and implement cost-effective components for object-detection.
By the end of this training, participants will be able to:
Install and configure the necessary tools and libraries required in object detection using YOLO.
Customize Python command-line applications that operate based on YOLO pre-trained models.
Implement the framework of pre-trained YOLO models for various computer vision projects.
Convert existing datasets for object detection into YOLO format.
Understand the fundamental concepts of the YOLO algorithm for computer vision and/or deep learning.
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.
Format of the Course
This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
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 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.
This instructor-led, live training in Ontario (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.
Read more...
Last Updated:
Testimonials (2)
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.
Online Computer Vision training in ontario, Computer Vision training courses in ontario, Weekend Computer Vision courses in ontario, Evening Computer Vision training in ontario, Computer Vision instructor-led in ontario, Online Computer Vision training in ontario, Computer Vision instructor-led in ontario, Computer Vision classes in ontario, Computer Vision coaching in ontario, Computer Vision boot camp in ontario, Computer Vision on-site in ontario, Evening Computer Vision courses in ontario, Computer Vision one on one training in ontario, Computer Vision trainer in ontario, Computer Vision private courses in ontario, Weekend Computer Vision training in ontario, Computer Vision instructor in ontario