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.
Este curso faz parte do Programa de cursos integrados Python 3 Programming
Python Project: pillow, tesseract, and opencv
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Informações sobre o curso
O que você vai aprender
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
Programa - O que você aprenderá com este curso
Semana
15 horas para concluir
The Python Imaging Library
10 vídeos (total de (Total 73 mín.) min), 1 teste
10 videos
Welcome to Python Project: pillow, tesseract, opencv3min
Introduction to Jupyter Notebooks6min
How to install Jupyter on Windows (Optional)8min
How to install Jupyter on a Mac (Optional)8min
The Python Runtime Environment4min
Python Imaging Library (PIL)7min
Common Functions in the Python Imaging Library8min
Additional PIL Functions11min
Introduction to Week One Assignment2min
Semana
22 horas para concluir
Tesseract and Optical Character Recognition
6 vídeos (total de (Total 41 mín.) min)
6 videos
Open-Source Software4min
The (Py)Tesseract Library7min
More Tesseract11min
Tesseract and Photographs11min
Jupyter Widgets (Optional)3min
Semana
32 horas para concluir
Computer Vision with OpenCV
4 vídeos (total de (Total 51 mín.) min)
4 videos
Release the Kraken!17min
Comparing Image Data Structures12min
OpenCV17min
More Jupyter Widgets (Optional)3min
Sobre Universidade de Michigan
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.
Sobre o Programa de cursos integrados Python 3 Programming
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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