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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-project
课程评论：没有评论
课程名称：Python 项目：Pillow、Tesseract 和 OpenCV 课程概述： 本课程将带您通过一个适合于作品集的实践项目。您将学习如何使用 Python 图像库（Pillow）处理图像，如何运用光学字符识别技术（Tesseract 和 Py-Tesseract）识别图像中的文本，以及如何使用流行的计算机视觉库 OpenCV 识别图像中的人脸。课程结束时，您将使用三种不同的适用于 Python 3 的库创建一个真实的数据分析项目。 课程最适合已完成 Python 3 编程专项前四门课程的学习者。具备 Python 编程技能并希望通过实践操作进行真实数据分析项目的学习者也将从本课程中受益。 这是 Python 3 编程专项的第五门也是最后一门课程。 课程大纲： 1. 名称：Python 图像库 描述：介绍如何使用这个库来处理和操作图像。 2. 名称：Tesseract 和光学字符识别 描述：学习如何运用 Tesseract 实现图像的文本识别。 3. 名称：使用 OpenCV 进行计算机视觉 描述：掌握如何使用 OpenCV 库进行人脸识别等视觉处理任务。
Name:The Python Imaging Library
Description:
Name:Tesseract and Optical Character Recognition
Description:
Name:Computer Vision with OpenCV
Description:
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.
