This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.
Python Project: pillow, tesseract, and opencv
This course is part of Python 3 Programming Specialization
Taught in English
Some content may not be translated
Instructor: Christopher Brooks
Sponsored by University of Catania
71,696 already enrolled
Course
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What you'll 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
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There are 3 modules in this course
What's included
10 videos2 readings1 peer review2 ungraded labs
What's included
6 videos1 ungraded lab
What's included
4 videos6 readings1 peer review2 ungraded labs
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