Python Project: pillow, tesseract, and opencv (Coursera)

Python Project: pillow, tesseract, and opencv (Coursera)
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Python Project: pillow, tesseract, and opencv (Coursera)
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.

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The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course.


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 5 of 5 in the Python 3 Programming Specialization.


Syllabus


WEEK 1

The Python Imaging Library


WEEK 2

Tesseract and Optical Character Recognition


WEEK 3

Computer Vision with OpenCV



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