Python Project: pillow, tesseract, and opencv

This course is part of the Python 3 Programming Specialization

4.0
stars
1,567 ratings
•
377 reviews

Christopher Brooks

47,906 already enrolled

Offered By

Python 3 Programming SpecializationUniversity of Michigan

About this Course

76,634 recent views

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.
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.

This is the fifth and final course in the Python 3 Programming Specialization.

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

Python 3 Programming Specialization

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

Python 3 Programming Specialization

Intermediate Level

Approx. 20 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructor

Instructor rating

3.84/5 (170 Ratings)

Christopher Brooks

Assistant Professor

School of Information

645,476 Learners

5 Courses

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.

Syllabus - What you will learn from this course

Content Rating81%(2,526 ratings)

Week

Week 1

5 hours to complete

The Python Imaging Library

5 hours to complete

10 videos (Total 73 min), 2 readings, 1 quiz

10 videos

Introduction to the Specialization11m

Welcome to Python Project: pillow, tesseract, opencv3m

Introduction to Jupyter Notebooks6m

How to install Jupyter on Windows (Optional)8m

How to install Jupyter on a Mac (Optional)8m

The Python Runtime Environment4m

Python Imaging Library (PIL)7m

Common Functions in the Python Imaging Library8m

Additional PIL Functions11m

Introduction to Week One Assignment2m

2 readings

Syllabus10m

Help Us Learn More About You!10m

Week

Week 2

2 hours to complete

Tesseract and Optical Character Recognition

2 hours to complete

6 videos (Total 41 min)

Week

Week 3

14 hours to complete

Computer Vision with OpenCV

14 hours to complete

4 videos (Total 51 min), 5 readings, 1 quiz

Reviews

4.0

377 reviews

5 stars
53.98%
4 stars
18.44%
3 stars
10.84%
2 stars
7.59%
1 star
9.12%

TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV

by PMJun 23, 2020

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.

by RFApr 1, 2021

This course gave great insight in how to approach a new library which I believe is one of the most powerful skills a programmer can have. Keep up the great work that you guys have been doing.

by ACMay 25, 2020

I thought the course was very interesting and well structured. I really enjoyed it but the platform Jupyter was incredibly slow and the submission format of the final project was a bit silly

by MHJun 29, 2020

i would have rated it 5 star if not for very poor submission system. this course is very challenging and if you are not up for challenges think twice before enrolling.

View all reviews

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.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Python Project: pillow, tesseract, and opencv