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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来自PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV的热门评论
It's not an easy course but it was well worth the effort. I learned a lot about pillow, tesseract and OpenCV.
Pretty good to get the Python Basics before getting on with advanced Python (or ML) programming.
Not much details on the course but good for starters in the field of computer vision
It was really helpful. Moreover, this course teaches us how to learn ourselves.
Interesting course, but Coursera's Jupyter environment isn't very robust.
Should have been a more detailed lecture. Covering things more slowly.
A better way to submit the code for the last project is needed.
Great and detailed, lots of useful exercises and clear videos.
Great course! It is more challenging than previous ones.
关于 Python 3 Programming 专项课程