OpenCV Python For Beginners | Hands on Computer Vision

Hands on Practical Examples with OpenCV & Python
4.26 (217 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
OpenCV Python For Beginners | Hands on Computer Vision
6 512
students
12 hours
content
Jan 2022
last update
$54.99
regular price

Why take this course?

🎉 Course Title: OpenCV Python For Beginners | Hands-on Computer Vision

🚀 Headline: Dive into the World of Image Processing with OpenCV & Python – A Practical, Step-by-Step Guide!


Welcome to Your Journey in Computer Vision with Python!

🔍 Course Description: OpenCV is an immensely powerful and versatile library for image processing and computer vision applications. It's developed by Intel, supported by Willow Garage, and now maintained by Itseez. This open-source tool is accessible to everyone, running smoothly on Mac, Windows, Linux, and can be used with C, C++, or Python – making it an ideal starting point for beginners.

Whether you're a hobbyist, a student, or a professional looking to expand your skill set, this course is designed to take you from zero to hero in using OpenCV with Python. OpenCV Python For Beginners | Hands-on Computer Vision is crafted to guide you through every step, from the initial installation process to mastering complex computer vision tasks.


🧩 Course Outline:

  1. Getting Started with OpenCV and Python:

    • Installing OpenCV on Windows, Mac, and Ubuntu systems
    • Setting up your development environment for OpenCV and Python
  2. Your First OpenCV Python Script:

    • Understanding the basic structure of an OpenCV script
    • Writing and running a simple image processing script
  3. Exploring Core Concepts in OpenCV:

    • Learning about image transformations, filters, and edge detection
    • Diving into feature detection, object tracking, and shape recognition
  4. Practical Computer Vision Techniques:

    • Mastering face detection, object classification, and real-time video processing
    • Implementing machine learning algorithms using OpenCV and Python
  5. Project-Based Learning:

    • Building hands-on projects that demonstrate the power of OpenCV in real-world scenarios
    • Gaining experience with practical examples such as building a security camera system, an automated object counter, or an interactive image filter application

What You Will Learn:

  • Installation and Setup: Learn how to easily install OpenCV on your chosen platform.
  • Basic Operations: Understand the core functions of OpenCV for image processing.
  • Advanced Topics: Explore advanced concepts like computer vision algorithms, machine learning integration, and more.

Why Take This Course?

  • Practical Approach: Learn by doing with hands-on projects that bring real-world applications to life.
  • Expert Guidance: Benefit from Yogesh Patel's expertise as a course instructor, guiding you through each lesson.
  • Flexible Learning: Access the content at your own pace, and learn wherever and whenever you choose.

Who Is This Course For?

  • Beginners in OpenCV and Python programming
  • Individuals interested in computer vision applications
  • Anyone looking to bridge the gap between image processing theory and practical implementation

🎓 Enroll Now and Transform Your Skills in Computer Vision with OpenCV and Python! 🎓

Join us on this exciting learning journey. Click the 'Enroll' button to start your adventure into the fascinating world of computer vision today! 🚀💖

Course Gallery

OpenCV Python For Beginners | Hands on Computer Vision – Screenshot 1
Screenshot 1OpenCV Python For Beginners | Hands on Computer Vision
OpenCV Python For Beginners | Hands on Computer Vision – Screenshot 2
Screenshot 2OpenCV Python For Beginners | Hands on Computer Vision
OpenCV Python For Beginners | Hands on Computer Vision – Screenshot 3
Screenshot 3OpenCV Python For Beginners | Hands on Computer Vision
OpenCV Python For Beginners | Hands on Computer Vision – Screenshot 4
Screenshot 4OpenCV Python For Beginners | Hands on Computer Vision

Loading charts...

Related Topics

2549423
udemy ID
08/09/2019
course created date
03/10/2019
course indexed date
Bot
course submited by