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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-ocr-using-deep-learning-and-opencv-python/
课程评论：没有评论
课程名称：使用深度学习和OpenCV-Python掌握OCR 课程概述： 欢迎参加“使用深度学习和OpenCV-Python掌握OCR”课程，这是我OCR系列的第一门课程。在本课程中，我们将从基础知识开始，首先讨论什么是光学字符识别（OCR），以及为什么值得花时间学习这一技术。随后，我们将介绍大多数OCR系统使用的一般流程。 我们将详细学习每个流程组件，首先是一些常见的图像预处理技术，接着探讨基于深度学习的文本检测算法，例如EAST和CTPN，并使用OpenCV-Python实现EAST算法。接下来，我们将学习CTC（连接时序分类）的核心概念，该概念在文本识别系统中广泛应用。我们还将实现非常知名的文本识别算法CRNN。最后，我们将学习OCR流程的最后一个组件——重构，我们将讨论重构在任何OCR系统中的重要性。 此外，我们将介绍一个开源的端对端OCR引擎pytesseract，最后运行完整的OCR流程，从身份证明文件中提取数据。期待在课堂上见到您，祝您学习愉快，身体健康。
Hi There!Welcome to the course 'Mastering OCR using Deep Learning and OpenCV-Python'. This is the first course of my OCR series.In this course we will start from the very basics. We will first discuss what is Optical Character Recognition and why you should invest your time in learning this.Then we will move to the general pipeline used by most of the OCR systems available. After this we will start learning each pipeline component in detail. We will start by learning some image pre-processing techniques commonly used in OCR systems. Then we will learn some deep learning based text detection algorithms such as EAST and CTPN. We will also implement the EAST algorithm using OpenCV-Python. Next we will learn the crux of the CTC which is widely used in developing text recognition systems. We will implement very famous text recognition algorithm that is CRNN. Finally we will learn the last component of the OCR pipeline that is restructuring. In this we will discuss why is restructuring important for any OCR systems.We will also discuss an open source end-to-end OCR engine which is pytesseract. Finally we will run the complete OCR pipeline to extract the data from identification document using pytesseract.So that's all for this course, see you soon in the class room. Happy learning and have a great time.Stay safe, stay healthy.
