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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-path-opencv-real-time-computer-vision-with-opencv/
课程评论：没有评论
课程名称：学习路径：OpenCV：实时计算机视觉与OpenCV 概述：您是否希望开发有趣的计算机视觉应用？如果是，那么这条学习路径就是为您而设。Packt的视频学习路径将一系列独立视频产品按逻辑顺序整合在一起，使每个视频都基于之前的视频所学技能。计算机视觉和机器学习概念在基于计算机视觉的实际项目中常常一起使用。无论您是完全不熟悉计算机视觉的概念，还是对其有基本了解，这条学习路径都将引导您通过令人惊叹的真实案例和项目，理解OpenCV的基本概念和算法。 OpenCV是一个跨平台的开源库，用于人脸识别、目标跟踪以及图像和视频处理。通过学习计算机视觉算法、模型和OpenCV API的基础知识，您将能够开发多种类型的现实应用。课程从在您的系统上安装OpenCV及图像处理基础开始，迅速进入光流视频分析和复杂场景中的文本识别。您将探索常用的计算机视觉技术，从零开始构建自己的OpenCV项目。接下来，我们将教授您如何使用各种OpenCV模块进行统计建模和机器学习。您将学习如何准备数据进行分析，了解监督学习和无监督学习，并学习如何使用它们。 最后，您将学习如何利用流行的机器学习技术（如分类、回归、决策树、K近邻、提升和神经网络），结合C++和OpenCV，来实现高效的模型。在学习路径的最后，您将熟悉OpenCV的基础知识，例如矩阵运算、滤波器和直方图，以及更高级的概念，如分割、机器学习、复杂视频分析和文本识别。 专家介绍：我们汇集了以下几位杰出作者的最佳作品，以确保您的学习旅程顺畅： - David Millán Escrivá：他8岁时在8086 PC上用Basic语言编写了第一个程序，能够进行基本方程的2D绘图。2005年，他以优异的成绩在瓦伦西亚理工大学获得IT学位，并专注于与OpenCV支持的人机交互领域。 - Prateek Joshi：人工智能研究员，出版五本书籍的作者，以及TEDx演讲者。他是Pluto AI的创始人，这是一家在硅谷获得风险投资的初创公司，致力于构建基于深度学习的智能水管理分析平台。 - Joe Minichino：他在Hoolux Medical担任计算机视觉工程师，致力于开发基于计算机视觉的医疗行业广告平台，同时也是NoSQL数据库LokiJS的开发者。 通过这门课程，您将掌握OpenCV的基础和高级概念，为开发实际的计算机视觉应用打下坚实的基础。
Are you looking forward to developing interesting computer vision applications? If yes, then this Learning Path is for you. Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Computer vision and machine learning concepts are frequently used together in practical projects based on computer vision. Whether you are completely new to the concept of computer vision or have a basic understanding of it, this Learning Path will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. OpenCV is a cross-platform, open source library that is used for face recognition, object tracking, and image and video processing. By learning the basic concepts of computer vision algorithms, models, and OpenCV's API, you will be able to develop different types of real-world applications. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis and text recognition in complex scenes. You'll explore the commonly used computer vision techniques to build your own OpenCV projects from scratch. Next, we'll teach you how to work with the various OpenCV modules for statistical modeling and machine learning. You'll start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to use them. Finally, you'll learn to implement efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV. By the end of this Learning Path, you will be familiar with the basics of OpenCV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Meet Your Experts: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: David Millán Escrivá was eight years old when he wrote his first program on an 8086 PC with Basic language, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT through the Universitat Politécnica de Valencia with honors in human-computer interaction supported by computer vision with OpenCV (v0.96). Prateek Joshi is an artificial intelligence researcher, published author of five books, and TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by deep learning. Joe Minichino is a computer vision engineer for Hoolux Medical by day and a developer of the NoSQL database LokiJS by night. At Hoolux, he leads the development of an Android computer vision-based advertising platform for the medical industry.
