Computer Vision with OpenCV Training

Computer Vision with OpenCV

Venture into the realm of computer vision with OpenCV in this intensive course.

From setting up OpenCV to mastering its core functionalities and diving into advanced topics like GPU-accelerated vision and OpenCV for iOS, this course offers a hands-on approach to harnessing the potential of one of the leading computer vision libraries.

What will you learn?

Targeted at engineers and architects, this course dives deep into computer vision using the OpenCV library. Participants will:

OpenCV Foundation: Begin with setting up OpenCV and understanding its API concepts, ensuring a smooth start.
Core Computer Vision Modules: Delve deep into core functionalities like image processing, 2D feature framework, and video analysis.
Advanced Imaging Techniques: Grasp the art of 3D reconstruction, computational photography, and object detection.
AI & Machine Learning Integration: Integrate machine learning into computer vision projects and understand the inherent synergy.
Specialized Modules: Dive into bonus topics like GPU-accelerated vision, ensuring you're equipped with the latest in computer vision technology.
Mobile Integration: Understand how OpenCV can be utilized in mobile environments, especially iOS.

Requirements:

Competency in one of: C++, Java, Python, MATLAB, CUDA, or OpenCL.
Basic grasp of machine learning.
Background in linear algebra, statistics, and probability is a plus.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

1. Getting Started:

Setting up OpenCV
Introduction to OpenCV's API concepts

2. Core Concepts in Computer Vision:

Foundations:
Core Functionality (Core Module)
Image Processing (Imgproc Module)
Media Handling:
High-Level GUI & Media (highgui module)
Image & Video I/O (imgcodecs & videoio modules)
Features & Analysis:
2D Features Framework (feature2d module)
Video Analysis Techniques (video module)

3. Advanced Imaging Techniques:

3D Modeling:
Camera Calibration & 3D Reconstruction (calib3d module)
Detection & Recognition:
Object Detection Mechanisms (objdetect module)
Machine Learning in Vision (ml module)
Photography & Visualization:
Computational Photography Tools (photo module)
Visualization Capabilities with OpenCV Viz

4. Specialized Modules & Bonus Topics:

Performance Enhancement:
GPU-Accelerated Computer Vision (cuda module)
Mobile Vision:
Adapting OpenCV for iOS

Hands-on learning with expert instructors at your location for organizations.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Immersive hands-on experience in a dedicated setting

*Price can range depending on number of participants, change of outline, location etc.

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Master new skills guided by experienced instructors from anywhere.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Reduced training costs

*Price can range depending on number of participants, change of outline, location etc.

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You can participate in a Public Course with people from other organisations.

/per trainee

Thanks for the numbers, they could be going to your emails. But they're going to mine... Thanks ;D

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Level:

Intermediate

Duration:

Hours (days:

)

Fits ideally for individuals and small groups

Networking opportunities with fellow participants.

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

Computer Vision with OpenCV

What will you learn?

Requirements:

Course Outline*:

1. Getting Started:

2. Core Concepts in Computer Vision:

3. Advanced Imaging Techniques:

4. Specialized Modules & Bonus Topics:

Get Quote for:

Computer Vision with OpenCV

Start your training experience here!