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.
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- 5 stars53.87%
- 4 stars18.36%
- 3 stars10.49%
- 2 stars7.28%
- 1 star9.97%
来自PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV的热门评论
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
Great course! Final project had bugs in online component - better to download course content and run locally.
This course is not holding your hand anymore, like the previous ones in the spec, but pushes you out in the real world.
Very interesting course on implementing the use of open source software. A bit challenging but still very doable.
关于 Python 3 Programming 专项课程
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.