OpenCV Practical with Python - 3 Complete Projects + CODE

OpenCV to Computer Vision app Like Face Recognition, Motion Detector, Hand Detector
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Udemy
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English
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Data Science
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OpenCV Practical with Python - 3 Complete Projects + CODE
317
students
3.5 hours
content
Nov 2019
last update
$19.99
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Why take this course?

🚀 Course Title: OpenCV Practical with Python - 3 Complete Projects + CODE


🎓 Course Headline: Master Advanced Techniques in Computer Vision with Real-World Projects!


OpenCV to Computer Vision Applications Like Face Recognition, Motion Detector, and Hand Detector 🌟


Course Description:


Why Take This Course? 🤔

  • Practical Focus: This course is a hands-on experience designed to turn your theoretical knowledge into tangible skills.
  • Interactive Projects: You'll work on three complete projects that will enhance your understanding of OpenCV and Python.
  • Advanced Learning: Aimed at intermediate-level users who want to push their boundaries and explore the capabilities of computer vision.

Course Projects:

  1. 🎬 Project #1: Building a Motion Detector App

    • Learn how to detect motion in real-time with OpenCV.
    • Understand video processing techniques for motion detection.
  2. 👐 Project #2: Building a Hand Detector App

    • Explore the complexities of hand detection and tracking.
    • Utilize advanced algorithms to identify hands in different poses.
  3. 🤳 Project #3: Face Recognition App

    • Implement face recognition techniques for security or personal use.
    • Develop an application that can distinguish between individuals using facial features.

Prerequisites:


What is OpenCV? 🔍

OpenCV (Open Source Computer Vision) is a powerful library that simplifies the process of implementing computer vision algorithms and machine learning models. With OpenCV, you can easily:

  • Identify and track faces and objects.
  • Classify items or detect hand gestures.
  • Analyze and interpret images and videos in real-time.

OpenCV is versatile, supporting multiple programming languages including Python, C, C++, Java, and Matlab, and it's compatible with a wide range of operating systems like Windows, Mac, Linux, and even Android. Its open-source nature under the BSD license makes it an invaluable tool for developers and researchers alike.


Join us to transform your coding skills into real-world computer vision applications with OpenCV and Python! 🚀

  • Gain hands-on experience with state-of-the-art computer vision techniques.
  • Build a portfolio of interactive projects that showcase your skills to potential employers or clients.
  • Learn from an expert instructor who has extensive experience in both OpenCV and practical Python programming.

Don't miss this opportunity to elevate your programming prowess to the next level! Enroll now and let's create something extraordinary together. 🛠️✨

Course Gallery

OpenCV Practical with Python - 3 Complete Projects + CODE – Screenshot 1
Screenshot 1OpenCV Practical with Python - 3 Complete Projects + CODE
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Screenshot 2OpenCV Practical with Python - 3 Complete Projects + CODE
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Screenshot 3OpenCV Practical with Python - 3 Complete Projects + CODE
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2628210
udemy ID
28/10/2019
course created date
10/11/2019
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