OpenCV Course - Full Tutorial with Python

Overview

Embark on a comprehensive OpenCV tutorial with Python, covering everything from basic concepts to advanced techniques. Begin with the fundamentals of reading images and videos, then progress to image transformations, color spaces, and edge detection. Gain hands-on experience by building a Deep Computer Vision model to classify characters from "The Simpsons" TV series. Explore essential topics including contour detection, bitwise operations, masking, histogram computation, thresholding, and face detection using Haar Cascades. Learn to implement face recognition using OpenCV's built-in recognizer. Access accompanying code on GitHub and leverage the Caer Vision library for enhanced functionality. By the end of this tutorial, acquire the skills to tackle various computer vision tasks using OpenCV and Python.

Syllabus

Introduction.
Installing OpenCV and Caer.
Reading Images & Video.
Resizing and Rescaling Frames.
Drawing Shapes & Putting Text.
5 Essential Functions in OpenCV.
Image Transformations.
Contour Detection.
Color Spaces.
Color Channels.
Blurring.
BITWISE operations.
Masking.
Histogram Computation.
Thresholding/Binarizing Images.
Edge Detection.
Face Detection with Haar Cascades.
Face Recognition with OpenCV's built-in recognizer.
Deep Computer Vision: The Simpsons.

Taught by

freeCodeCamp.org

Reviews

4.4 rating, based on 5 Class Central reviews

Start your review of OpenCV Course - Full Tutorial with Python

Zefanya Frandita Situmorang

The course covered a wide range of topics, from basic image processing to more advanced computer vision techniques. The instructor explained concepts clearly, and the hands-on exercises were both challenging and rewarding. One of the highlights of…

The course covered a wide range of topics, from basic image processing to more advanced computer vision techniques. The instructor explained concepts clearly, and the hands-on exercises were both challenging and rewarding.

One of the highlights of the course was the practical application of OpenCV in real-world projects. I learned how to build image processing pipelines, perform object detection, and even create my own face recognition system. The provided resources, including code samples and datasets, were invaluable for practicing and implementing what I learned.

The course also had a well-structured curriculum, gradually building up from the fundamentals to more complex topics. This made it suitable for both beginners and those with some prior experience in Python programming.

Overall, I highly recommend this OpenCV course with Python to anyone interested in computer vision and image processing. It's a comprehensive and hands-on learning experience that equips you with the skills to tackle a variety of projects in the field.
Abdullah Hamid

I really enjoyed the course which helped me build great and strong basis for my image processing journey using Open-CV using python and tensor flow.
Ojas Kudari

best for beginners and people who dont know what image processing is,would have loved a segment about the further streams and channnels to pursue
Vedik Sevak

Amazing knowledge , loved to learn from here ! 😍 , it was very greatful to get free this course, thanku ❤️🙏🏻
Nimrita

This is a very nice and complete course on OpenCV using Python. I really liked the projects which are the part of this course.

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