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 stars53.07%
- 4 stars18.35%
- 3 stars10.64%
- 2 stars7.15%
- 1 star10.75%
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
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.
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Great course! Final project had bugs in online component - better to download course content and run locally.
Very reach and useful. The project is pretty hard and requires more knowing use python, that it outside the scope of this course
About the Python 3 Programming Specialization

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