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 stars53.59%
- 4 stars18.48%
- 3 stars10.60%
- 2 stars7.24%
- 1 star10.08%
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.
i would have rated it 5 star if not for very poor submission system. this course is very challenging and if you are not up for challenges think twice before enrolling.
I think this was a little too much for me to process, I wished it would be a little longer and slower, but overall its really good
Very reach and useful. The project is pretty hard and requires more knowing use python, that it outside the scope of this course
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.