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.
이 강좌에 대하여
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%
PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV의 최상위 리뷰
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.
This course is not holding your hand anymore, like the previous ones in the spec, but pushes you out in the real world.
I liked the course. But it packed a lot of information. Although I enjoyed the assignments. Looking forward the next courses.
Python 3 Programming 특화 과정 정보
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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