Python Project: pillow, tesseract, and opencv

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5

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Course Features

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Duration

20 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

20 hours

Course Description

This course will guide you through a practical project that can be used as a portfolio. Third-party APIs will be covered. You will learn how to manipulate images with the Python imaging library (pillow), apply optical character recognition to images in order to recognize text (tesseract or py-tesseract), as well as how to identify faces using the opencv library. To create a real-world data analysis project, you will be able to use three libraries for Python 3.

This course is designed for those who have completed the four first courses in the Python 3 Programming Specialization. This course is also suitable for learners who have already learned Python programming but are looking to apply their skills in a real-world data analysis project. This course is the fifth and last in the Python 3 Programming Specialization.

Course Overview

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Skills You Will Gain

What You Will Learn

How to inspect and understand APIs and third party libraries to be used with Python 3

How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text

How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)

How to apply the open source computer vision library (opencv) to detect faces in images, & how to crop and manipulate these faces into contact sheets

Course Instructors

Christopher Brooks

Assistant Professor

Christopher Brooks is a Research Assistant Professor in the School of Information and Director of Learning Analytics and Research in the Office of Digital Education & Innovation at the University of ...

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