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.
About this Course
- 5 stars53.26%
- 4 stars18.31%
- 3 stars10.60%
- 2 stars7.09%
- 1 star10.72%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
Very reach and useful. The project is pretty hard and requires more knowing use python, that it outside the scope of this course
The pier grading system is quite slow and working on the notebook with opencv was a bit hard because the kernel kept crashing.
This course gave great insight in how to approach a new library which I believe is one of the most powerful skills a programmer can have. Keep up the great work that you guys have been doing.
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
About the Python 3 Programming Specialization
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