课程信息

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第 5 门课程(共 5 门)
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中级
完成时间大约为21 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • 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

可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 5 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为21 小时
英语(English)
字幕:英语(English)

讲师

提供方

密歇根大学 徽标

密歇根大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up80%(1,127 个评分)Info
1

1

完成时间为 6 小时

The Python Imaging Library

完成时间为 6 小时
10 个视频 (总计 73 分钟), 1 个阅读材料, 1 个测验
10 个视频
Welcome to Python Project: pillow, tesseract, opencv3分钟
Introduction to Jupyter Notebooks6分钟
How to install Jupyter on Windows (Optional)8分钟
How to install Jupyter on a Mac (Optional)8分钟
The Python Runtime Environment4分钟
Python Imaging Library (PIL)7分钟
Common Functions in the Python Imaging Library8分钟
Additional PIL Functions11分钟
Introduction to Week One Assignment2分钟
1 个阅读材料
Syllabus10分钟
2

2

完成时间为 2 小时

Tesseract and Optical Character Recognition

完成时间为 2 小时
6 个视频 (总计 41 分钟)
6 个视频
Open-Source Software4分钟
The (Py)Tesseract Library7分钟
More Tesseract11分钟
Tesseract and Photographs11分钟
Jupyter Widgets (Optional)3分钟
3

3

完成时间为 14 小时

Computer Vision with OpenCV

完成时间为 14 小时
4 个视频 (总计 51 分钟), 4 个阅读材料, 1 个测验
4 个视频
Comparing Image Data Structures12分钟
OpenCV17分钟
More Jupyter Widgets (Optional)3分钟
4 个阅读材料
Hint 110分钟
Hint 210分钟
Hint 310分钟
Hint 410分钟

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关于 Python 3 Programming 专项课程

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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