Python Computer Vision part 5 - OpenCV Brightness and Contrast HD

Access the complete course: https://academy.zenva.com/product/the-complete-computer-vision-course-with-python/?zva_src=youtube-python-cv What if you could learn and master some of the same techniques used in: Self-driving cars Microsoft Kinect Google image search Snapchat and Instagram filters In this course, you will learn computer vision using Python. You’ll learn about image filtering and processing, pattern recognition, machine learning and face detection. These technologies are powering the next generation of consumer and enterprise applications. From the Internet of Things, to advertising and gaming. We want you to get on board and be part of this revolution. The course includes theory, lots of live coding and examples, and challenges for you to build your portfolio. Challenges include: Receipt Segmenter – Find text in an image Currency Counter – Count coins and dollar bills in an image Multi-object Matching – Find Legend of Zelda rupees using a patter matching algorithm Face Swap – App to swap the faces of two people Python Computer Vision Banner-01 Complementing the application is the theory. We’ll discuss some of the mathematics and processes that happen under the hood to give you a better understanding of the concepts. Colorspace conversions Segmentation Filters Morphology Edge Detection Machine Learning Face detection At the end of the course, students will learn the fundamental computer vision techniques and be able to apply computer vision and image processing to their own images for a variety of cool tasks like building their own image filters, segmenting images, and even detecting faces in images! Access +100 programming courses in Zenva: https://zenva.com Our tutorial blogs: GameDev Academy: https://gamedevacademy.org HTML5 Hive: https://html5hive.org Android Kennel: https://androidkennel.org Swift Ludus: https://swiftludus.org De Idea A App: https://deideaaapp.org Twitter: @ZenvaTweets