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
About 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
Offered by
Start working towards your Master's degree
Syllabus - What you will learn from this course
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
Reviews
- 5 stars53.26%
- 4 stars18.31%
- 3 stars10.60%
- 2 stars7.09%
- 1 star10.72%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.
I liked the course. But it packed a lot of information. Although I enjoyed the assignments. Looking forward the next courses.
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.
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About the Python 3 Programming Specialization

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