Object Detection & Recognition Using Deep Learning in OpenCV

Course details

This course teaches effective object recognition and its implementation with the powerful OpenCV libraries. You will learn how to enhance your OpenCV skills with deep learning. You will explore and master OpenCV for Object Recognition/Classification. The course explains all the necessary theory and concepts of computer vision, image processing, and machine learning. You also learn the practical application of OpenCV libraries. Its capabilities and functionality are shown along with a tutorial on how to set up a machine such that its able to use OpenCV in codes. You will start by seeing how to work with images in OpenCV, enhancement and filtering in OpenCV. You will then move on to building an application which is capable of object recognition and performing homography. You will then move on to object classification and recognizing text in an image.

In the end, you will be able to use object recognition algorithm which will be used by you for practical application.

About the Author

Param Uttarwar, has extensively worked in OpenCV and he has been in touch with OpenCV, ML and AI field. Previously, he worked on a similar kind of project where he developed a software that aided users in learning image processing. It used OpenCV and Qt Libraries at its core and was deployed on hardware. The author has worked out image processing algorithms on SBCs & FPGAs. The author has also taught these topics himself, so he is well acquainted with the practical problems faced during learning which are not written in books. He feels that he is the best suited for authoring this course