Blackjack with Python

Advanced Image Processing – Build a Blackjack Counter

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  • 20 Lessons
  • Lifetime, 24/7 Access
  • Certificate of Completion
  • Closed Captions
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Overview

This title is part of the Python Computer Vision Mini-Degree

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 Computer Vision Mini-Degree

The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.

With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.

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Curriculum

Requirements

    This course builds up on the concepts covered in our course Learn Python Image Processing.

    Python 3 is used in this course..

    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.

  • Lifetime, 24/7 access
  • Professional-grade video lessons
  • Certificate of completion
  • Closed captions

$50

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