Python Imaging Library (PIL) - Python Project: pillow, tesseract, and opencv

Link to this course:
Python Imaging Library (PIL) - Python Project: pillow, tesseract, and opencv
Python 3 Programming Specialization
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.

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.,The best course to learn about Pillow, tesseract, and OpenCV. I have learned how to apply them to real-life projects by completing the final project.

Python Imaging Library (PIL) - Python Project: pillow, tesseract, and opencv
Copyright Disclaimer under Section 107 of the copyright act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use.