OpenCV with Python (Computer Vision)

Using Python Learn Computer Vision Course on OpenCV in Python from Basic to Advance
4.65 (70 reviews)
Udemy
platform
English
language
Data Science
category
instructor
OpenCV with Python (Computer Vision)
309
students
4 hours
content
Nov 2022
last update
$19.99
regular price

Why take this course?


Unlock the Secrets of Computer Vision with Python & OpenCV! 🚀

🎓 Course Title: Master OpenCV with Python: From Basic to Advanced Skills in Computer Vision 🌟

Headline: Dive Deep into Image and Video Processing with Practical Python and OpenCV! 🖥️📚

Description:

Welcome, aspiring visionaries! If you're captivated by the world of Computer Vision or Deep Learning, and you're eager to harness the power of Python to explore this exciting field, then this is your course. 🧐✨

In today's tech-driven era, Computer Vision isn't just a buzzword; it's a transformative technology revolutionizing industries from automotive to security, and everything in between. Self-driving cars, advanced surveillance systems, object tracking, feature matching - the applications are as vast as they are impactful.

This comprehensive course is meticulously designed to guide you through the core concepts of image and video processing from the ground up. Whether you're a beginner or looking to refine your skills, this course will take you on a journey from basic to advanced levels in Computer Vision using OpenCV with Python. 📈

What You Will Learn:

  • Image Processing Fundamentals: Master the art of reading, cropping, resizing, rotating, and saving images, as well as video read, resizing, and saving.
  • Advanced Image Manipulation: Explore drawing circles, adding text messages, line segments, rectangles, ellipses, arithmetic operations, image blending, thresholding, and blurring.
  • Contour Analysis: Dive into contour area and perimeter calculations, finding contours, fitting shapes, and checking if points are inside or outside of contours.
  • Feature Transformation and Matching: Understand the power of SIFT (Scale-Invariant Feature Transform) and how to perform feature matching.

Course Highlights:

  • Hands-On Learning: Engage with practical exercises that reinforce your understanding of each concept.
  • Real-World Applications: Learn through examples that reflect real-world scenarios in Computer Vision.
  • Supportive Community: Join a community of like-minded learners and get support from peers on the Udemy Q&A board.

Topics Covered:

  • Image Read & Save
  • Image Cropping & Resizing
  • Image Rotation & Splitting
  • Video Processing
  • Drawing Shapes & Text on Images
  • Arithmetic Operations on Images
  • Image Blending Techniques
  • Threshold and Blurring Effects
  • Contour Analysis (Area, Perimeter, Finding Contours)
  • Fitting Shapes to Contours
  • Checkpoint Detection (Inside, Outside, or On the Contours)
  • SIFT (Scale-Invariant Feature Transform) & Feature Matching
  • ...and much more! 🌈

Why Enroll?

  • Expert Guidance: Led by Pooja Dhouchak, an experienced course instructor with a passion for teaching and a knack for simplifying complex concepts.
  • Practical Approach: Learn through doing with real-world projects that will showcase your skills to potential employers.
  • Flexible Learning: Study at your own pace, on your own schedule, from anywhere in the world.

Feel free to reach out to me, Pooja, on Udemy's Q&A board if you have any questions about the course or how it can help advance your career as a Computer Vision Engineer. 💌

Join Me on This Exciting Journey in Computer Vision! Let's embark on this learning adventure together and unlock the potential of Python with OpenCV. I can't wait to see you thrive in this field. Enroll now and let's get started! 🤓🎉


Course Gallery

OpenCV with Python (Computer Vision) – Screenshot 1
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OpenCV with Python (Computer Vision) – Screenshot 4
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4928760
udemy ID
14/10/2022
course created date
23/04/2023
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