Advanced Image Processing – Build a Blackjack Counter
$50
Overview
This title is part of the Python Mini-Degree – 13 Courses to Learn and Master Python
In this course we’ll build an app that can detect and recognize playing cards using Python and OpenCV. This app will detect that there is a playing card in an image, it grab all the cards it finds and reorients them.
There are two main concepts that will be covered in this course. One of them is thresholding, which is a technique of image segmentation. The second one is contour detection.
Learning goals:
- Thresholding:
- Binary thresholding
- Inverted binary thresholding
- Contour detection:
- Curve approximation
- Contour hierarchy
- Polygon approximation
About the Python Mini-Degree
The Python Mini-Degree is a bundle of 13 online video courses, that go all the way from teaching you how to code in Python while making a game, to building your own Artificial Intelligence (AI) and Internet of Things (IoT) applications using Computer Vision, Machine Learning and Deep Learning.
Learn more and enroll HERE.
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Curriculum
Introduction
Development Environment - Anaconda
M1 - Intro to Image Segmentation
M1 – Intro to Thresholding
M1 – Binary Thresholding
M1 – Inverted Binary Thresholding
M1 – OpenCV Thresholding 1
M1 – OpenCV Thresholding 2
M1 – Intro to Contour Detection
M1 - Chain Approximation
M1 - Retrieval Modes
M1 - OpenCV Contour Detection
M1 - Polygon Approximation
M1 - OpenCV Polygon Approximation
M2 - Intro to App
M2 - Intro to Provided Code
M2 - Thresholding our Input Image
M2 - Contour Detection
M2 - Affine Transform
M2 - Finishing Up
ConclusionRequirements
This course builds up on the concepts covered in our course Learn Python Image Processing.
You need to have Python 2.7 installed.
It is recommended to take this course as part of the Python Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more.
