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.
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About this Course
최근 조회 90,049회
배울 내용
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
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 5개 강좌 중 5번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 13시간 필요
권장: 12 hours/week
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 6시간 필요
The Python Imaging Library
완료하는 데 6시간 필요
10개 동영상 (총 73분), 1 reading, 1 quiz
10개의 동영상
Welcome to Python Project: pillow, tesseract, opencv3m
Introduction to Jupyter Notebooks6m
How to install Jupyter on Windows (Optional)8m
How to install Jupyter on a Mac (Optional)8m
The Python Runtime Environment4m
Python Imaging Library (PIL)7m
Common Functions in the Python Imaging Library8m
Additional PIL Functions11m
Introduction to Week One Assignment2m
1개의 읽기 자료
Syllabus10m
완료하는 데 2시간 필요
Tesseract and Optical Character Recognition
완료하는 데 2시간 필요
6개 동영상 (총 41분)
6개의 동영상
Open-Source Software4m
The (Py)Tesseract Library7m
More Tesseract11m
Tesseract and Photographs11m
Jupyter Widgets (Optional)3m
완료하는 데 14시간 필요
Computer Vision with OpenCV
완료하는 데 14시간 필요
4개 동영상 (총 51분), 4 readings, 1 quiz
4개의 동영상
Comparing Image Data Structures12m
OpenCV17m
More Jupyter Widgets (Optional)3m
4개의 읽기 자료
Hint 110m
Hint 210m
Hint 310m
Hint 410m
검토
4.2
PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV의 최상위 리뷰
RK 제공May 4, 2019
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UA 제공Jul 30, 2019
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.
ST 제공Nov 8, 2019
It's not an easy course but it was well worth the effort. I learned a lot about pillow, tesseract and OpenCV.
MK 제공Jan 26, 2020
Pretty good to get the Python Basics before getting on with advanced Python (or ML) programming.
미시건 대학교 정보
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Python 3 Programming 전문 분야 정보
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.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
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