Об этом курсе

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Курс 5 из 5 в программе
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Прибл. 21 час на выполнение
Английский
Субтитры: Английский

Чему вы научитесь

  • 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

Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Курс 5 из 5 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Промежуточный уровень
Прибл. 21 час на выполнение
Английский
Субтитры: Английский

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Логотип Мичиганский университет

Мичиганский университет

Программа курса: что вы изучите

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Неделя
1

Неделя 1

6 ч. на завершение

The Python Imaging Library

6 ч. на завершение
10 видео ((всего 73 мин.)), 1 материал для самостоятельного изучения, 1 тест
10 видео
Welcome to Python Project: pillow, tesseract, opencv3мин
Introduction to Jupyter Notebooks6мин
How to install Jupyter on Windows (Optional)8мин
How to install Jupyter on a Mac (Optional)8мин
The Python Runtime Environment4мин
Python Imaging Library (PIL)7мин
Common Functions in the Python Imaging Library8мин
Additional PIL Functions11мин
Introduction to Week One Assignment2мин
1 материал для самостоятельного изучения
Syllabus10мин
Неделя
2

Неделя 2

2 ч. на завершение

Tesseract and Optical Character Recognition

2 ч. на завершение
6 видео ((всего 41 мин.))
6 видео
Open-Source Software4мин
The (Py)Tesseract Library7мин
More Tesseract11мин
Tesseract and Photographs11мин
Jupyter Widgets (Optional)3мин
Неделя
3

Неделя 3

14 ч. на завершение

Computer Vision with OpenCV

14 ч. на завершение
4 видео ((всего 51 мин.)), 4 материалов для самостоятельного изучения, 1 тест
4 видео
Comparing Image Data Structures12мин
OpenCV17мин
More Jupyter Widgets (Optional)3мин
4 материала для самостоятельного изучения
Hint 110мин
Hint 210мин
Hint 310мин
Hint 410мин

Рецензии

Лучшие отзывы о курсе PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV

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Специализация Python 3 Programming: общие сведения

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first....
Python 3 Programming

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