Fundamentals of image contours

Online Course

Udemy
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Fundamentals of image contours
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Fundamentals of image contours
The course Fundamentals of image contours is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn to apply contour detection, contour properties to identify shapes

Course description
  • Fundamentals of image contours
  • apply image contours to identify shapes using opencv and python
  • None
  • 3 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Evergreen Technologies
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Prerequisites & Facts

Fundamentals of image contours

Course Topic

Marketing, Pinterest Marketing, Social Media Marketing

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Fundamentals of image contours

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Fundamentals of image contours
provided by Udemy
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Reviews

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Here you can find information, reviews and user experiences for the course “Fundamentals of image contours“. The provider of the course – “Udemy” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: Udemy
Topic: IT & Software, Image Processing

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