Master Computer Vision with Deep learning, OpenCV4 & Python

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Price: 199.99$

This course is your ultimate guide for entering into the realm of Computer Vision. We will start from the very basics i. e Image Formation and Characteristics, Perform basic image processing (Read/Write Image & Video + Image Manipulation), make CV applications interactive using Trackbars and Mouse events, build your skillset with Computer Vision techniques (Segmentation, Filtering & Features) before finally Mastering Advanced Computer Vision Topics i. e Object Detection, Tracking, and recognition. Right at the end, we will develop a complete end-to-end Visual Authorization System (Secure Access). The course is structured with below main headings. Computer Vision Fundamentals Image Processing Basics (Coding)CV-101 (Theory + Coding)Advanced CV (Theory + Coding)Project: Secure Access (End-to-end project development & deployment) – Due on 30th Dec 22-From Basics to Advanced, each topic will accompany a coding session along with theory. Programming assignments are also available for testing your knowledge. Python Object Oriented programming practices will be utilized for better development. Learning Outcomes – Computer Vision Read/Write Image & Video + Image Manipulation Interactive CV applications with Trackbars & Mouse Events Learn CV Techniques i. e (Transformation, Filtering, Segmentation, and Features)Understand, train, and deploy advanced topics i. e (Object Detection, Tracking, and Recognition) Test your knowledge by completing assignments with each topic. [Project] Develop an end-to-end Visual Authorization System for your Computer. – Coming 30th Dec 22 – Algorithms Facial recognition algorithms like LBP and Dlib-Implementation LBP (Fast-Less accurate)Dlib-Implementation (Slow-Accurate)Single Object Trackers CSRT, KCFMultiple Object Trackers Deep Sort  (Slow-Accurate)Object Detection Haar Cascades  (Fast-Less accurate)Yolo V3  (Slow-Accurate)Computer Vision Techniques Sift  Orb Feature Matching Canny Edge detection Binary, Otsu, and Adaptive Thresholding Kmeans Segmentation Convex hull Approximation Pre-Course Requirments Software Based Open CV4Python Skill Based Basic Python Programming Motivated mind:)All the codes for reference are available on the Git Hub repository of this course. Get a good idea by going through all of our free previews available and feel free to contact us in case of any confusion 🙂