OpenCV Computer Vision Application Programming هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

OpenCV (Open Source Computer Vision) is a library of programming functions that can be used for many applications such as augmented reality, robotics, surveillance, medical imaging, identification, to mention only a few. With OpenCV, developer's can avoid the use of complex mathematics and algorithms and focus on developing applications, taking advantage of the comprehensive, ready to use functionality of OpenCV to automate tasks that a human performs visually. This course will expose you to the key concepts of OpenCV and enable you to build your own computer vision applications.

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. Automatically detect faces or people in your images, recognize and identify specific faces among others, or even train your very own object detector to use it for your own specific purposes. Retouch your photographs, calibrate your camera, change the perspective of an image, create stunning panoramas, and add more that you can readily use in your applications.

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, 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