Learn to build powerful computer vision applications with OpenCV. Master image processing, object detection, and create stunning visual experiences.
Dive into the exciting world of OpenCV and computer vision! This course is all about practical skills—like recognizing faces, stitching images, and making your photos pop. By the end, you’ll be mixing up examples to craft your own cool applications. Super fun, right?
OpenCV's powerful computer vision application programming techniques to build and make your own applications stand out f
"OpenCV Computer Vision Application Programming" allows you to dive into the world of computer vision and get many practical benefits from it with minimal effort. You will learn to recognize and identify specific faces among others, or even train your very own object detector to use it for your own specific purposes.
"OpenCV Computer Vision Application Programming" helps you get started with the library by first learning how to install OpenCV correctly on your system. You will then explore basic image processing concepts as well as the different interfaces that you can use in OpenCV. Develop techniques to separate foreground and background in your images, create stunning panoramas easily by stitching normal images together, enhance your photographs, calibrate your camera and automatically detect common objects like faces or people on your images. Reduce the distortion of your photographs and make straight lines of the scene look straight instead of bent in your images.
You will learn to change the perspective of your images so that it appears that you are moving around, similar to google street view navigation and develop a 3D representation of a scene using stereoscopic images.
On completion of this course, you will be able to mix and match the provided examples to build your own application.
Sebastian Montabone is a computer engineer with a Master of Science degree in computer vision. He is the author of scientific articles regarding image processing and a book, Beginning Digital Image Processing: Using Free Tools for Photographers.
He uses many open source software and strongly believes in the open source philosophy. Embedded systems also have been of interest to him, especially mobile phones. He created and taught a course about development of applications for mobile phones, and has been recognized as a Nokia developer champion.
If you could summarize all his areas of interest in a single concept, it would be ubiquitous computing. Currently he is a software consultant and entrepreneur.
This course shows results obtained on real images with suitable explanations accompanied with code that will facilitate your learning. Each example covers different aspects of computer vision that you can use in your own applications.
5 Lectures
4 Lectures
4 Lectures
4 Lectures
5 Lectures
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital...
It's good course
This course doesn't really teach you how to use a computer vision library. There where some really simple examples, which help with understanding , but nothing more than that. No project or even a quizz.
Everyone can learn a bit more just by reading a book on its own..
There is no relate between teaching and showing example useless
It worths to watch for beginners
Most of the course it's just a code review of the test projects, it's doesn't really teach you how to think in a "Computer Vision" way.
Also the code it's not up-to-date, I downloaded the sample code and some of it simply crash (shape recognition)
There wasn't a thorough analysis of the code and not any materials with listed code.Should have more examples with video processing.
Your email address will not be published. Required fields are marked *
Reddy92rosh
no instructions about any image processing or opencv
very very vague
you will end up learning nothing
time waste