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Mastering Python OpenCV: With 36 Real-World Projects
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Note : 4,4 sur 5(120 notes)
1 197 participants
Créé parJayanta Sarkar
Dernière mise à jour : 05/2026
Anglais

Ce que vous apprendrez

  • 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.
  • Project 1 : Python Program to extract frames using OpenCV
  • Project 2 : White and black dot detection using OpenCV
  • Project 3 : Displaying the coordinates of the points clicked on the image
  • Project 4 : OpenCV BGR color palette with trackbars
  • Project 5 : Play a video in reverse mode using OpenCV
  • Project 6 : Draw rectangular shape and extract objects
  • Project 7 : Saving Operated Video from a webcam
  • Project 8 : Drawing with Mouse on Images using Python-OpenCV
  • Project 9 : Cartooning an Image using OpenCV
  • Project 10 : Text Detection and Extraction using OpenCV and OCR
  • Project 11 : template matching
  • Project 12 : Detecting objects of similar color in Python using OpenCV
  • Project 13 : Pedestrian Detection using OpenCV-Python
  • Project 14 : Background subtraction – OpenCV
  • Project 15 : Invisible T-shirt using OpenCV
  • Project 16 : Face Detection using Python and OpenCV with webcam
  • Project 17 : Live Face Blur - Privacy Filter
  • Project 18 : Gun Detection using Python-OpenCV
  • Project 19 : Detecting car using openCV
  • Project 20 : Replace Green Screen using OpenCV- Python
  • Project 21 : Live Webcam Drawing using OpenCV
  • Project 22 :Creating a Finger Counter Using Computer Vision and OpenCv in Python
  • Project 23 : Brightness Control With Hand Detection using OpenCV in Python
  • Project 24 : Detect and Recognize Car License Plate from a video in real time
  • Project 25: Right and Left Hand Detection Using Python
  • Project 26 : control your mouse using openCV
  • Project 27 : Real-Time Face Mesh Detection with Python, OpenCV & MediaPipe!
  • Project 28: Real-Time Face Tilt Detection (Webcam + MediaPipe)
  • Project 29: Create a Screen recorder using Python
  • Project 30 : Build a real-time multi-face recognizer
  • Project 31: Gesture-Controlled Webcam Filters using OpenCV & MediaPipe
  • Project 32 : how to create Barcode scanner with the help of openCV
  • Project 33 : Real-Time Face Swapping Using OpenCV & MediaPipe
  • Project 34 : Finger Counter Using MediaPipe Task API + OpenCV
  • Project 35 : Brightness control using finger with the help of media pipe task API

Contenu du cours

23 sections • 92 sessions • 17 h 9 min de durée totale

  • Introduction2:01

    Hello and welcome to “Mastering Python OpenCV: With 30 Real-World Projects” — your complete journey into the world of computer vision, image processing, and real-time applications using Python and OpenCV!

    My name is Jayanta Sarkar, and I’m excited to guide you through this hands-on, project-based course that transforms the way you look at computer vision.

    Whether you're a beginner taking your first steps in OpenCV or a developer eager to sharpen your real-time project skills — you're in the right place. We’ll start from the very basics — understanding images, capturing video from webcams, and applying filters. Step by step, you’ll learn how to use OpenCV’s powerful functions with clarity and confidence.

    But this is not just theory. This course is packed with 30 real-world projects that you'll actually build alongside me. Some of the exciting projects include:

    ✅ Brightness Control with Hand Detection
    ✅ Real-Time Face Mesh Detection with Python, OpenCV, and MediaPipe
    ✅ Multi-Face Recognition System
    ✅ Live Webcam Drawing Canvas
    ✅ Finger Counter using Computer Vision
    ✅ Car Detection in Video Streams
    ✅ Gun Detection System using OpenCV and Deep Learning
    ✅ The Famous “Invisible T-shirt” Effect
    ✅ Real-Time License Plate Recognition
    ✅ Left and Right Hand Detection using MediaPipe
    ✅ Controlling Your Mouse with Hand Gestures

    Each project is carefully crafted to help you apply concepts immediately and build a strong portfolio of practical, real-time applications.

    So if you’re ready to master computer vision with Python and OpenCV, let’s dive in and start creating intelligent, interactive, and fun projects — one line of code at a time.

    Let’s begin the journey. I’ll see you inside the course!

  • What is OpenCV And How to install?3:47

    1. OpenCV (Open Source Computer Vision Library) is an open-source library for computer vision, image processing, and machine learning.

    2. Originally developed by Intel, now maintained by the open-source community.

    3. Written in C++ but has Python bindings (cv2 module).

    4. Use cases:

      • Face recognition

      • Object detection & tracking

      • Image filtering

      • Augmented reality

      • Optical character recognition (OCR)

Prérequis

  • 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!

À qui ce cours s'adresse-t-il ?

  • student who enthusiast to work on computer vision and image processing

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