Welcome to one of the most thorough and well-taught courses on OpenCV, where you’ll learn how to Master Computer Vision using the newest version of OpenCV4in Python!======================================================NOTE: Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however, this has been fixed as of early 2019: )======================================================Computer Vision is an area of Artificial Intelligence that deals with how computer algorithms can decipher what they see in images! Master this incredible skill and be able to complete your University/College Projects, automate something at work, start developing your startup idea or gain the skills to become a high paying ($400-$1000 USD/Day) Computer Vision Engineer.======================================================Last Updated Aug 2019, you will be learning: Key concepts of Computer Vision & OpenCV (using the newest version OpenCV4)Imagemanipulations (dozens of techniques!)such as transformations, cropping, blurring, thresholding, edge detection and cropping. Segmentation of images by understanding contours, circle, and line detection. You’ll even learn how to approximate contours, do contour filtering and ordering as well as approximations. Feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection. Object Detection for faces, people & cars. Extract facial landmarks for face analysis, applying filters, and face swaps. Machine Learning in Computer Vision for handwritten digit recognition. Facial Recognition. Motion Analysis & Object Tracking. Computational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos).Deep Learning ( 3+ hours of Deep Learning with Keras inPython)Computer Vision Product andStartup IdeasMulti-Object Detection (90 Object Types) Colorize Black & White Photos and Video (using Caffe)NeuralStyleTransfers - Apply the artistic style of Van Gogh, Picasso, and others to any image even your webcam inputAutomatic Number-Plate Recognition (ALPRCredit Card Number Identification (Build your own OCRClassifier with PyTesseract)======================================================You’ll also be implementing 21 awesome projects!======================================================OpenCVProjects Include: LiveDrawing Sketch using your webcamIdentifying ShapesCounting Circles and EllipsesFinding WaldoSingle Object Detectors using OpenCVCar and Pedestrian Detector using Cascade Classifiers Live Face Swapper (like MSQRD & Snapchat filters!)Yawn Detector and CounterHandwritten Digit Classification Facial Recognition Ball TrackingPhoto-RestorationAutomatic Number-Plate Recognition (ALPR)NeuralStyleTransfer Mini ProjectMulti-Object Detection in OpenCV (up to 90 Objects!)using SSD(Single Shot Detector)Colorize Black & White Photos and VideoDeepLearning Projects Include: Build a Handwritten Digit ClassifierBuild a Multi-Image ClassifierBuild aCats vs Dogs ClassifierUnderstand how to boost CNNperformance using Data AugmentationExtract and Classify Credit Card Numbers======================================================What previous students have said:“I’m amazed at the possibilities. Very educational, learning more than what I ever thought was possible. Now, being able to actually use it in a practical purpose is intriguing. much more to learn & apply"Extremely well taught and informative Computer Vision course! I’ve trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them.“Awesome instructor and course. The explanations are really easy to understand and the materials are very easy to follow. Definitely a really good introduction to image processing.“I am extremely impressed by this course! I think this is by far the best Computer Vision course on Udemy. I’m a college student who had previously taken a Computer Vision course in undergrad. This 6.5 hour course blows away my college class by miles!“Rajeev did a great job on this course. I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications. Rajeev is clear and concise which helps make a complicated subject easy to comprehend for anyone wanting to start building applications."======================================================Why LearnComputer Vision in Python using OpenCV?Computer vision applications and technology are exploding right now! With several apps and industries making amazing use of the technology, from billion-dollar apps such as Pokmon GO, Snapchat and up and coming apps like MSQRD and PRISMA. Even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilizing computer vision for face & object recognition, image searching and especially in Self-Driving Cars! As a result, the demand for computer vision expertise is growing exponentially! However,
