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Volver a Python Project: pillow, tesseract, and opencv

Opiniones y comentarios de aprendices correspondientes a Python Project: pillow, tesseract, and opencv por parte de Universidad de Míchigan

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Acerca del Curso

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....

Principales reseñas

PM

23 de jun. de 2020

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.

RF

1 de abr. de 2021

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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1 - 25 de 437 revisiones para Python Project: pillow, tesseract, and opencv

por Artem E

7 de may. de 2019

por Ross M

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por Michael K

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