What you'll learn

Learn fundamentals of Computer Vision

Understand state of art image and video processing Algorithms in CV

Understand application of Deep Learning Models in the CV

Learn to implement CV algorithms with OpenCV python library

Requirements

Familiar with python programming language and any python IDE (like PyCharm)

Description

Learn fundamentals of Computer Vision with state of art image and video processing Algorithms.Course StructureIntroduction:IntroductionReal world ApplicationsPopular Computer Vision Techniques:Image SegmentationDemo - Image SegmentationEdge DetectionDemo - Edge DetectionFeature ExtractionDemo - Feature ExtractionApplication of CV techniquesObject Detection, Tracking and Classification:Object DetectionObject TrackingImage ClassificationDemo: Image ClassificationChallenges in CVDeep Learning for Computer Vision:What is Deep Learning?Convolutional Neural Network (CNN)Demo - CNNTransfer LearningBenefits of Deep Learning in CVImage Recognition:Face Detection and RecognitionDemo - Face DetectionOptical Character Recognition (OCR)Demo - OCRAdvanced Techniques - Panorama Creation:Image RegistrationImage StitchingDemo - Image StitchingMotion Analysis:Motion AnalysisVideo ProcessingBackground SubtractionDemo: Background SubtractionRealtime Video Processing:Realtime Video ProcessingDemo - Object DetectionApplication in RoboticsRequirementsBasics knowledge of computer programmingFamiliar with python programming language and any python IDE (like PyCharm)Windows / Linux / Mac OS X Machine with InternetContent teamExpert: Arunkumar KrishnanProduction: Vishnu Sakthivel, Visshwa BalasubramanianWhat you will learn?Learn fundamentals of Computer VisionUnderstand state of art image and video processing Algorithms in CVUnderstand application of Deep Learning Models in the CVLearn to implement CV algorithms with OpenCV python library