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.
Ce cours fait partie de la Spécialisation Python 3 Programming
À propos de ce cours
Ce que vous allez apprendre
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
Offert par
Commencez à travailler pour obtenir votre master
Programme de cours : ce que vous apprendrez dans ce cours
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
Avis
- 5 stars53,26 %
- 4 stars18,31 %
- 3 stars10,60 %
- 2 stars7,09 %
- 1 star10,72 %
Meilleurs avis pour PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
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
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.
I thought the course was very interesting and well structured. I really enjoyed it but the platform Jupyter was incredibly slow and the submission format of the final project was a bit silly
À propos du Spécialisation Python 3 Programming

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