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%
來自PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV的熱門評論
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 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.
This is my last course for the specialization and the whole specialization is great .It helps me to build my basics . Than you:)
This course is not holding your hand anymore, like the previous ones in the spec, but pushes you out in the real world.
關於 Python 3 Programming 專項課程
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.