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.
This course is part of the Python 3 Programming Specialization
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Python 3 Programming SpecializationUniversity of MichiganAbout this Course
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Course 5 of 5 in the
Intermediate Level
Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 5 in the
Intermediate Level
Approx. 20 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Start working towards your Master's degree
This course is part of the 100% online Master of Applied Data Science from University of Michigan.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
5 hours to complete
The Python Imaging Library
5 hours to complete
10 videos (Total 73 min), 2 readings, 1 quiz
2 hours to complete
Tesseract and Optical Character Recognition
2 hours to complete
6 videos (Total 41 min)
14 hours to complete
Computer Vision with OpenCV
14 hours to complete
4 videos (Total 51 min), 5 readings, 1 quiz
Reviews
- 5 stars53.34%
- 4 stars18.28%
- 3 stars10.64%
- 2 stars7.13%
- 1 star10.58%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
by VBMay 29, 2020
The pier grading system is quite slow and working on the notebook with opencv was a bit hard because the kernel kept crashing.
by UAJul 30, 2019
It's very interesting the assignment and the final project. But maybe you should think of changing the Jupiter notebook. It doesn't work correctly very often.
by HSJun 25, 2021
This was really something. We learned how to learn on our own and experiment with third-party APIs.
Thanks Michigan and Coursera
by BYDec 8, 2020
I think this was a little too much for me to process, I wished it would be a little longer and slower, but overall its really good
About the Python 3 Programming Specialization
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
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