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Starts 6 July 2025 16:26

Ends 6 July 2025

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Mastering Python OpenCV: With 28 Real-World Projects

Master Computer Vision with Python OpenCV: 28 Practical Projects for Real-World Image and Video Processing Skills!
via Udemy

4124 Courses


12 hours 27 minutes

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Overview

Master Computer Vision with Python OpenCV:

28 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 PythonLive Webcam Drawing using OpenCVCreating a Finger Counter Using Computer Vision and OpenCv in PythonDetecting car using openCVGun Detection using Python-OpenCVInvisible T-shirt using OpenCVDetecting objects of similar color in Python using OpenCVReplace Green Screen using OpenCV- PythonDetect and Recognize Car License Plate from a video in real timeRight and Left Hand Detection Using PythonReal-Time Face Mesh Detection with Python, OpenCV & MediaPipe!Real-Time Face Tilt Detection (Webcam + MediaPipe)Control your mouse using openCVCreate a Screen recorder using Python 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!

Syllabus

  • **Introduction to OpenCV and Computer Vision**
  • Overview of Computer Vision
    Setting up the Python Environment
    Introduction to OpenCV
  • **Image and Video Processing Basics**
  • Understanding Digital Images and Pixels
    Image Manipulation Techniques
    Basic Video Processing
  • **Core OpenCV Functions**
  • Image Transformation and Filtering
    Color Space Conversions
    Geometric Transformations
    Contours and Edge Detection
  • **Hands-On Projects Module 1: Basic Projects**
  • Brightness Control with Hand Detection
    Live Webcam Drawing
    Creating a Finger Counter
  • **Computer Vision Applications**
  • Object Detection and Recognition
    Motion Tracking Techniques
    Real-Time Video Analysis
  • **Hands-On Projects Module 2: Intermediate Projects**
  • Detecting Cars using OpenCV
    Gun Detection
    Invisible T-Shirt Effect
  • **Live Video Processing**
  • Capturing and Analyzing Live Video Streams
    Implementing Interactive Applications with Video
  • **Hands-On Projects Module 3: Advanced Projects**
  • Detecting Objects of Similar Color
    Replacing Green Screen Backgrounds
    Real-Time Face Mesh Detection (using MediaPipe)
    Real-Time Face Tilt Detection
  • **Applied Computer Vision: Advanced Techniques**
  • Advanced Filtering and Enhancement Methods
    Object Tracking in Videos
    Augmented Reality Applications
  • **Hands-On Projects Module 4: Expert Projects**
  • Detect and Recognize Car License Plates in Real-Time
    Right and Left Hand Detection
    Control Your Mouse with OpenCV
    Create a Screen Recorder
  • **Integration with Other Technologies**
  • Integrating OpenCV with MediaPipe and AI Frameworks
    Building Applications for Automation and Augmented Reality
  • **Course Conclusion**
  • Review of Key Concepts and Techniques
    Final Project: Building a Comprehensive Computer Vision Application
    Future Trends in Computer Vision and OpenCV
  • **Additional Resources and Next Steps**
  • Suggested Reading and Tutorials
    Community and Support Networks
    Opportunities for Further Learning and Specialization

Taught by

Jayanta Sarkar


Subjects

Computer Science