Overview
Computer Vision is an important technique for automatically extracting, analyzing and understanding useful information from digital media. This course is aimed at helping learners understand the fundamentals of computer vision and how to use Python to implement computer vision tasks.
Why this
course?
This course will help you learn and understand:
- Basics of computer vision
- How to use Python to implement computer vision tasks
- How to build your own face, object, and motion detection systems
Curriculum
- Loading images
- Converting color to greyscale
- Using metadata
- Understanding Images as Multidimensional Arrays
- Understanding the Color Space
- Overview of Pixels and Coordinates
- Accessing Pixels
- Changing Pixels in Images
- Drawing Lines and Shapes
- Applying Text on Images
- Resizing Images
- Cropping Images
- Thresholding
- Finding Contours
- Background Subtraction
- Using Detectors
- Using Feature Vectors
- Understanding the Color-mean Features Theory
- Extracting Histogram Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Prerequisites
Basic understanding of Python
FAQs
Generative AI is a subset of AI that focuses on understanding patterns and structure in data and then using that to create more data like it.
Until now, machines couldn’t exhibit behavior that was indistinguishable from human responses. Generative AI has made that possible. In a world that operates on the principle of ‘Survival of the Fittest’, embracing Generative AI could be the edge you need to boost your productivity, improve operations, be more reliable and consistent, and do so much more.
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Yes, absolutely! The Computer Vision online course is a virtual, instructor-led program so you can enroll and learn from anywhere.
This course is designed to be highly hands-on for all learners. Roughly 70% of this course would be hands-on practical training while 30% would be theoretical studies.
Yes! There will be a pre- and post-assessment for every module during this Computer Vision online training course.
