Blackjack with Python

Advanced Image Processing – Build a Blackjack Counter

$50

$50
Includes:
  • 21 Lessons
  • Lifetime, 24/7 Access
  • Certificate of Completion
  • English Subtitles
Join 300,000+ Satisfied Students
$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.

https://www.youtube.com/watch?v=oYGVCPt22Cs

Learn more and enroll HERE.

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What Our Members Are Saying

“I was able to just continuously expand upon the groundwork that I created with the course and turn it into something that was uniquely mine.”
Damon Bolesta

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Elizaveta Mihisa

“Once I actually started to type, a giant game programming world opened up before my eyes and it is absolutely amazing!”
Ryan Mininger

“This course definitely helped me create my first game for Android and iOS — which is a very good feeling 😀 — so I highly recommend it!”
Max Rose

Curriculum

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Requirements

    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.

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