This project is based on an assignment that is part of Course 5 of 5 in the Python 3 Programming Specialization on Coursera provided by University of Michigan
- Takes a ZIP file of images, extracts the images to a new folder.
- The images contained in the ZIP file are of newspaper pages. Every page contains text, and many of the pages contain images with faces in them.
- Takes any word as input (here we used 'Mark'), and searches each page for occurrences of the word with optical character recognition (OCR).
- If the word we searched for is found on the current page, then the program searches that page for pictures with faces in them. It then returns a contact sheet of thumbnail images with each face contained in the page where the word was found.
- Eg. if you search for 'Bill' it will return a contact sheet of all of the faces which were located on the newspaper page which mentions "Bill".
Note: Due to the size of the images files used, they were stored in the .gitignore file in order to upload the project to GitHub. Original project materials can be found here.
Course 5 of 5 in the Python 3 Programming Specialization on Coursera provided by University of Michigan
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.
The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course.
This is the fifth and final course in the Python 3 Programming Specialization.
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How to inspect and understand APIs and third party libraries to be used with Python 3
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How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text
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How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)
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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