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.
Über diesen Kurs
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.
- 5 stars53,94 %
- 4 stars18,38 %
- 3 stars10,44 %
- 2 stars7,23 %
- 1 star9,98 %
Top-Bewertungen von PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
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.
This was really something. We learned how to learn on our own and experiment with third-party APIs. Thanks Michigan and Coursera
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.
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
Über den Spezialisierung Python 3 Programming
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.
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