Associate Professor of Information
Python Project: Software Engineering and Image Manipulation
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 (pytesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)
3 Modules
9 Hours
3 hrs per module (approx.)
Rating
About Python Project: Software Engineering and Image Manipulation
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 pytesseract). By the end of the course you will have worked with these different libraries available for Python 3 to create a real-world project.
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 project can also benefit from this course.
This is the fifth and final course in the Python 3 Programming Specialization.
Skills You'll Gain
- Object-Oriented Programming (OOP)
- Python Imaging Libraries (Python Package)
- Python (Programming Language)
- Web Development
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Python Project: Software Engineering and Image Manipulation, a portfolio-focused course where learners apply Python to real-world image processing tasks using industry-standard libraries.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: The Python Imaging Library
- Video: Introduction to the Specialization
- Video: Welcome to Python Project: pillow, tesseract, opencv
- Reading: Syllabus
- Video: Introduction to Jupyter Notebooks
- Video: How to install Jupyter on Windows (Optional)
- Video: How to install Jupyter on a Mac (Optional)
- Reading: Help Us Learn More About You!
- Ungraded Lab: Module 1 Lectures
- Video: The Python Runtime Environment
- Video: Python Imaging Library (PIL)
- Video: Common Functions in the Python Imaging Library
- Video: Additional PIL Functions
- Video: Introduction to Week One Assignment
- Ungraded Lab: Week One Assignment - Jupyter Notebook
- Graded: Week 1 Assignment
Module 2: Tesseract and Optical Character Recognition
- Ungraded Lab: Module 2 Lectures
- Video: Introduction to Optical Character Recognition
- Video: Open-Source Software
- Video: The (Py)Tesseract Library
- Video: More Tesseract
- Video: Tesseract and Photographs
- Video: Jupyter Widgets (Optional)
Module 3: Computer Vision with OpenCV
- Ungraded Lab: Module 3 Lectures
- Video: Release the Kraken!
- Video: Comparing Image Data Structures
- Video: OpenCV
- Video: More Jupyter Widgets (Optional)
- Reading: Hint 1
- Reading: Hint 2
- Reading: Hint 3
- Reading: Hint 4
- Ungraded Lab: Project
- Graded: Project
Grading Policy
Learners must complete all programming assignments and score at least 80% on the assessment in Module 1 and at least 70% on their Module 3 assessment.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Intermediate Level
Some related experience required
