Learn Computer Vision with OpenCV and Python
Includes object detection, tracking, deep learning and many special real-life examples
Updated on Apr, 2024
Language - English
Development,Data Science and AI ML,Python
Lectures -49
Resources -20
Duration -7.5 hours
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Course Description
In this course, you are going to learn computer vision & image processing from scratch. You will reach all source code and resources.
The explanations are easy to understand and also you can ask the points you need.
I have shared key concepts with you without the heavily mathematical theory, so you can focus the implementation.
You will find many special examples beside the fundamental topics.
I preferred to use OpenCV which is an open source computer vision library used and supported by many people!. I have used OpenCV with Python, because Python allows us to focus on the problem easily without spending time for programming syntax/complex codes.
Goals
What will you learn in this course:
- Computer Vision/Image Processing basics
- Learning Computer Vision with different real-life examples not only openCV functions!
Prerequisites
What are the prerequisites for this course?
- Basic Python or any programming language knowledge is a plus
- All the software needed in this course is free and open source.
- For basic topics, only install Python and OpenCV
Curriculum
Check out the detailed breakdown of what’s inside the course
Basic Image Processing
6 Lectures
-
Histogram Equalization
07:12
07:12
-
Thresholding
05:41
05:41
-
Convolution
08:41
08:41
-
Sharpening and edge detection
03:53
03:53
-
Morphological transformation
04:59
04:59
-
Image pyramid
04:54
04:54
Special App: mini game: hit the ball
3 Lectures
Segmentation
6 Lectures
Special App: People counting
1 Lectures
Tracking
3 Lectures
Object detection
3 Lectures
Special App: Missing and Abandoned object detection
1 Lectures
Prepare dataset and train your deep learning model
6 Lectures
Special Applications in different topics
13 Lectures
Object detection with Deep Learning
2 Lectures
Facial landmarks
4 Lectures
Instructor Details
Ibrahim Delibasoglu
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