Python Project: pillow, tesseract, and opencv

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/python-project

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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.

Python项目:枕头,tesseract和opencv:本课程将引导您完成适合项目组合的动手项目。将向您介绍第三方API,并向您展示如何使用Python影像库(枕头)操纵图像,如何将光学字符识别应用于图像以识别文本(tesseract和py-tesseract)以及如何识别面部在图像中使用流行的opencv库。在课程结束时,您将使用可用于Python 3的三个不同的库来创建一个实际的数据分析项目。 本课程最适合参加过Python 3编程专业化课程的前四门课程的学习者。学习者已经具备Python编程技能,但希望通过动手的实际数据分析项目进行练习,也可以从本课程中受益。 这是Python 3 Programming Specialization中的第五门也是最后一门课程。

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