Building Computer Vision Applications with Python

Building Computer Vision Applications with Python

with Eduardo Corpeño
Electronic Video - 2022

Get a deeper understanding of computer vision by creating your own image processing applications in Python.

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Bibliographic Details
Corporate Author: linkedin.com (Firm)
Other Authors: Corpeño, Eduardo (Speaker)
Format: Electronic Video
Language:English
Published: Carpenteria, CA linkedin.com, 2022.
Subjects:
Online Access:View course details on linkedin.com/learning

MARC

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520 |a Get a deeper understanding of computer vision by creating your own image processing applications in Python. 
511 1 |a Presenter: Eduardo Corpeño 
520 |a Image processing is a ubiquitous technology these days, used in just about every feature of smartphone cameras, in video games, social media apps, graphics software, and much more. Computer vision is the field of science that makes it possible for computers to not just capture images, but to process, analyze, and understand digital images. In this course, Eduardo Corpeño shows you how to use Python to write image processing operations of your own from scratch, to get a deeper understanding of the under-the-hood operations of image processing and popular tools like OpenCV. Eduardo shows you how to tap into the details of the algorithms behind image processing so you can understand what’s going on inside and make better use of these tools in the future. He also provides programming challenges so you can create your own implementations and compare your work with his solutions. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
655 4 |a Instructional films.  |2 lcgft 
655 4 |a Educational films.  |2 lcgft 
710 2 |a linkedin.com (Firm) 
856 4 0 |u https://www.linkedin.com/learning/building-computer-vision-applications-with-python?u=95224889&auth=true  |z View course details on linkedin.com/learning 
092 |a ONLINE CLASS