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• date: 9 June 2025
• posted by: AD-TEAM

Master Computer Vision with Python OpenCV: 22 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.

Brightness Control With Hand Detection using OpenCV in Python

Live Webcam Drawing using OpenCV

Creating a Finger Counter Using Computer Vision and OpenCv in Python

Detecting car using openCV

Gun Detection using Python-OpenCV

Invisible T-shirt using OpenCV

Detecting objects of similar color in Python using OpenCV

Replace Green Screen using OpenCV- Python

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 Projects

Lecture 20 project 1 : Python Program to extract frames using OpenCV

Lecture 21 project 2 : White and black dot detection using OpenCV

Lecture 22 project 3 : Displaying the coordinates of the points clicked on the image

Lecture 23 project 4 : OpenCV BGR color palette with trackbars

Lecture 24 project 5 : Play a video in reverse mode using OpenCV

Lecture 25 project 6 : Draw rectangular shape and extract objects

Lecture 26 project 7 : Saving Operated Video from a webcam

Lecture 27 project 8 : Drawing with Mouse on Images using Python-OpenCV

Lecture 28 Project 9 : Cartooning an Image using OpenCV

Section 5: Intermediate level project

Lecture 29 project 10 : Text Detection and Extraction using OpenCV and OCR

Lecture 30 project 11 : template matching

Lecture 31 project 12 : Detecting objects of similar color in Python using OpenCV

Lecture 32 project 13 : Pedestrian Detection using OpenCV-Python

Lecture 33 Project 14 : Background subtraction – OpenCV

Lecture 34 Project 15 : Invisible T-shirt using OpenCV

Lecture 35 project 16 : Face Detection using Python and OpenCV with webcam

Lecture 36 Project 17 : Gun Detection using Python-OpenCV

Lecture 37 Project 18 : Detecting car using openCV

Lecture 38 Project 19 : Replace Green Screen using OpenCV- Python

Section 6: Project 20 : Live Webcam Drawing using OpenCV

Lecture 39 Introduction

Lecture 40 Create colour track bar in OpenCV

Lecture 41 colouring point and drawing setup

Lecture 42 set up the paint Canvas

Lecture 43 Camera Setup and Main Loop

Lecture 44 identify the pointer using mask

Lecture 45 find the contour for the pointer

Lecture 46 handling the buttons

Lecture 47 draw lines for the stroke color

Section 7: Project 21 :Creating a Finger Counter Using Computer Vision and OpenCv in Python

Lecture 48 import modules and setup mediapipe object

Lecture 49 creating finger counter function

Lecture 50 creating the main loop and run the project

Section 8: Project 22 : Brightness Control With Hand Detection using OpenCV in Python

Lecture 51 import the library and set up the hand module

Lecture 52 start the while loop and read the frame

Lecture 53 control the brightness using finger

student who enthusiast to work on computer vision and image processing




   
   
   

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