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.
This course is part of the Python 3 Programming Specialization
About this Course
What you will learn
How to inspect and understand APIs and third party libraries to be used with Python 3
How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text
How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)
How to apply the open source computer vision library (opencv) to detect faces in images, & how to crop and manipulate these faces into contact sheets
Offered by
Start working towards your Master's degree
Syllabus - What you will learn from this course
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
Reviews
- 5 stars53.10%
- 4 stars18.34%
- 3 stars10.64%
- 2 stars7.15%
- 1 star10.75%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
The final project should have enabled .html or .pdf submission. And the response time of the server is pretty slow.
It's not an easy course but it was well worth the effort. I learned a lot about pillow, tesseract and OpenCV.
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.
My first ever course in coursera , it give me a good impression i like it
i was a little bit worry from the reviews but the course was actually great
About the Python 3 Programming Specialization

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