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.
本课程是 Python 3 Programming 专项课程 专项课程的一部分
Python Project: pillow, tesseract, and opencv
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课程信息
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
100% 在线
第 5 门课程（共 5 门）
可灵活调整截止日期
中级
完成时间大约为13 小时
英语（English）
教学大纲 - 您将从这门课程中学到什么
The Python Imaging Library
Tesseract and Optical Character Recognition
Computer Vision with OpenCV
来自Python Project: pillow, tesseract, and opencv的热门评论
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It's not an easy course but it was well worth the effort. I learned a lot about pillow, tesseract and OpenCV.
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密歇根大学
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