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.
- 5 stars53.26%
- 4 stars18.31%
- 3 stars10.60%
- 2 stars7.09%
- 1 star10.72%
来自PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV的热门评论
This was really something. We learned how to learn on our own and experiment with third-party APIs.
Thanks Michigan and Coursera
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.
It's not an easy course but it was well worth the effort. I learned a lot about pillow, tesseract and OpenCV.
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.