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Python Project: pillow, tesseract, and opencv

Approx. 20 hours to complete

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Description

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.

Knowledge

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

Outline

The Python Imaging Library
Introduction to the Specialization
Welcome to Python Project: pillow, tesseract, opencv
Introduction to Jupyter Notebooks
How to install Jupyter on Windows (Optional)
How to install Jupyter on a Mac (Optional)
The Python Runtime Environment
Python Imaging Library (PIL)
Common Functions in the Python Imaging Library
Additional PIL Functions
Introduction to Week One Assignment
Syllabus
Help Us Learn More About You!

Tesseract and Optical Character Recognition
Introduction to Optical Character Recognition
Open-Source Software
The (Py)Tesseract Library
More Tesseract
Tesseract and Photographs
Jupyter Widgets (Optional)

Computer Vision with OpenCV
Release the Kraken!
Comparing Image Data Structures
OpenCV
More Jupyter Widgets (Optional)
Hint 1
Hint 2
Hint 3
Hint 4
Course Feedback

Summary of User Reviews

This Python project course on Coursera has received high praise from its users. Many have found the course to be comprehensive, engaging, and practical, making it an ideal choice for beginners and intermediate learners alike. One key aspect that users have appreciated is the course's focus on developing real-world applications, which has helped them to gain practical experience and build confidence in their programming skills.

Pros from User Reviews

Comprehensive and engaging course material
Excellent instruction and guidance from the course instructor
Practical focus on building real-world applications
Ideal for beginners and intermediate learners
Great support from the Coursera community

Cons from User Reviews

Some users found the course to be too fast-paced
Lack of depth in certain areas of the course material
Limited opportunities for hands-on practice and experimentation
Some technical issues with the Coursera platform
Not suitable for advanced learners

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