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.
About this Course
- 5 stars53.37%
- 4 stars18.20%
- 3 stars10.61%
- 2 stars7.07%
- 1 star10.73%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
This is my last course for the specialization and the whole specialization is great .It helps me to build my basics . Than you:)
I liked the course. But it packed a lot of information. Although I enjoyed the assignments. Looking forward the next courses.
My first ever course in coursera , it give me a good impression i like it
i was a little bit worry from the reviews but the course was actually great
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.
About the Python 3 Programming Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.