Published 11/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.91 GB | Duration: 7h 4m
Master Computer Vision with Python OpenCV: Multiple Practical Projects for Real-World Image and Video Processing Skills!
What you’ll learn
Image and Video Processing Basics: Grasp foundational concepts and methods for image manipulation.
Core OpenCV Functions: Master essential OpenCV functions for transforming images and videos.
Computer Vision Applications: Explore real-world applications, including edge detection, object recognition, and motion tracking.
Multiple Hands-On Projects: Build and complete unique projects that make learning both practical and fun.
Live Video Processing: Learn to apply OpenCV techniques in live video streams to create interactive applications.
Requirements
basic knowledge about Python programming
Description
Unlock the power of computer vision with OpenCV in Python! This comprehensive course is designed to guide beginners and intermediate learners through the fundamentals of OpenCV, an industry-standard library for computer vision and image processing. With multiple exciting, hands-on projects, you’ll learn to analyze, manipulate, and enhance images and videos, transforming abstract concepts into real-world applications.From image recognition to advanced filtering, object tracking, and even live video manipulation, each module is packed with projects that reinforce learning and practical understanding. Through clear, step-by-step tutorials and engaging exercises, you’ll gain the skills needed to tackle a wide array of computer vision challenges confidently.**What You Will Learn:**- **Image and Video Processing Basics**: Grasp foundational concepts and methods for image manipulation.- **Core OpenCV Functions**: Master essential OpenCV functions for transforming images and videos.- ** Hands-On Projects**: Build and complete unique projects that make learning both practical and fun.- **Live Video Processing**: Learn to apply OpenCV techniques in live video streams to create interactive applications.By the end of this course, you’ll be equipped with the confidence and skills to build your own computer vision projects and apply OpenCV knowledge in areas like automation, AI, and augmented reality.Whether you’re a programmer, engineer, or enthusiast, this course will take you from Python OpenCV fundamentals to advanced vision techniques. Join us on this journey to master computer vision with Python and OpenCV!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Installing OpenCV
Section 2: Basics of OpenCV
Lecture 3 Reading Images & Video
Lecture 4 Resizing and Rescaling Frames
Lecture 5 Drawing Shapes & Putting Text
Lecture 6 5 Essential Functions in OpenCV
Lecture 7 Open Cv Image Translation
Lecture 8 Open Cv Image rotation
Lecture 9 Open Cv Image croping
Lecture 10 Contour Detection part one
Lecture 11 Contour Detection part two
Section 3: Advanced of OpenCV
Lecture 12 Color Spaces
Lecture 13 Color Channels
Lecture 14 Blurring
Lecture 15 BITWISE operations
Lecture 16 Masking
Lecture 17 grey scale image histogram
Lecture 18 colour image histogram
Lecture 19 thresholding openCV
Section 4: Basic level project
Lecture 20 project : Python Program to extract frames using OpenCV
Lecture 21 project : White and black dot detection using OpenCV
Lecture 22 project : Displaying the coordinates of the points clicked on the image
Lecture 23 project : OpenCV BGR color palette with trackbars
Lecture 24 project : Play a video in reverse mode using OpenCV
Lecture 25 project : Draw rectangular shape and extract objects
Lecture 26 project : Saving Operated Video from a webcam
Lecture 27 project : Drawing with Mouse on Images using Python-OpenCV
Lecture 28 Project : Cartooning an Image using OpenCV
Section 5: Intermediate level project
Lecture 29 project : Text Detection and Extraction using OpenCV and OCR
Lecture 30 project : template matching
Lecture 31 project : Detecting objects of similar color in Python using OpenCV
Lecture 32 project : Pedestrian Detection using OpenCV-Python
Lecture 33 Project : Background subtraction – OpenCV
Lecture 34 Project : Invisible T-shirt using OpenCV
Lecture 35 project : Face Detection using Python and OpenCV with webcam
student who enthusiast to work on computer vision and image processing
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