Overview
This course aims to teach beginners everything about OpenCV, starting from basics like reading images and videos, image transformations, to advanced concepts like color spaces and edge detection. By the end of the course, students will have hands-on experience building a Deep Computer Vision model to classify characters from "The Simpsons". The course covers skills such as image processing, contour detection, face detection, and recognition. The teaching method includes video lectures and practical coding exercises. This course is intended for beginners interested in computer vision, image processing, and deep learning.
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
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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…
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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
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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.
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Amazing knowledge , loved to learn from here ! 😍 , it was very greatful to get free this course, thanku ❤️🙏🏻
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This is a very nice and complete course on OpenCV using Python. I really liked the projects which are the part of this course.