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    Mastering Python OpenCV: With 31 Real-World Projects

    Posted By: Sigha
    Mastering Python OpenCV: With 31 Real-World Projects

    Mastering Python OpenCV: With 31 Real-World Projects
    2025-09-23
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 4.11 GB | Duration: 13h 48m

    Master Computer Vision with Python OpenCV: 31 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
    Build a real-time multi-face recognizer
    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
    Live Face Blur - Privacy Filter
    Detecting objects of similar color in Python using OpenCV
    Replace Green Screen using OpenCV- Python
    Detect and Recognize Car License Plate from a video in real time
    Right and Left Hand Detection Using Python
    Real-Time Face Mesh Detection with Python, OpenCV & MediaPipe!
    Real-Time Face Tilt Detection (Webcam + MediaPipe)
    Control your mouse using openCV
    Create a Screen recorder using Python
    Gesture-Controlled Webcam Filters using OpenCV & MediaPipe

    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!

    Who this course is for:
    student who enthusiast to work on computer vision and image processing


    Mastering Python OpenCV: With 31 Real-World Projects


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