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所在平台: Udemy |
课程主页: https://www.udemy.com/course/computer-vision-and-machine-learning-with-opencv-4/
课程评论：没有评论
课程名称：使用 OpenCV 4 的计算机视觉与机器学习 课程概述： 随着机器学习和深度学习在计算机视觉中的应用越来越重要，OpenCV作为一个全面的开源库，正处于这些主题的交汇处。这个实践课程旨在通过结合计算机视觉、机器学习和深度学习的力量，帮助您构建更智能、更快速、更复杂和更实用的系统。 本课程将带您设置开发环境，构建五个有趣的计算机视觉应用程序，包括人脸和眼睛检测、情感识别和快速二维码检测。您将深入探索监督学习、无监督学习、神经网络等机器学习和深度学习的基本概念，并学习如何将这些概念与OpenCV的其他功能相结合进行图像处理和物体检测。课堂中还将提供一些高效工作的技巧与窍门。 课程内容概览： 本培训程序包括三个完整的课程，精心挑选以确保您获得最全面的培训。 1. 第一部分：“使用 Python 的实战 OpenCV 4”，旨在帮助您开发现实世界中的计算机视觉应用程序。课程将从设置环境开始，接着构建五个激动人心的应用程序。您还将学习相关的基本概念，进入人工智能和深度学习领域，包括分类和物体检测的内容。 2. 第二部分：“OpenCV 4 计算机视觉与 Python 配方”将介绍 OpenCV 4，并让您熟悉该版本的进展。您将学习如何处理图像、增强和转换图像，还将开发包括人脸和眼睛检测、情感识别以及快速二维码检测与解码的酷炫应用，可以在任何地方部署。 3. 第三部分：“使用 OpenCV 4 的机器学习实战”，会将您完全沉浸于机器学习和深度学习中，帮助您了解关键主题和概念。 完成本课程后，您将能够解决日常生活中遇到的越来越复杂的计算机视觉问题，并利用机器学习算法的力量构建更智能、更快速、更复杂和更实用的计算机视觉应用程序。 专家介绍： 本课程的开发者包括 Colibri Digital 的创始人James Cross和Ingrid Funie，他们在大数据、数据科学、机器学习和云计算等领域具有深厚的专业知识。Sourav Johar 是一名计算机视觉爱好者，拥有两年 OpenCV 经验和三年 Python 编程经验。Muhammad Hamza Javed 是一名自学成才的机器学习工程师，拥有五年工业经验，他与团队在多个国际项目中积累了丰富的实践经验。 此课程旨在为您提供实用的技能，帮助您克服学习过程中可能遇到的挑战。
The application of Machine Learning and Deep Learning is rapidly gaining significance in Computer Vision. OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art Computer Vision and Machine Learning algorithms. If you wish to build systems that are smarter, faster, sophisticated, and more practical by combining the power of Computer Vision, Machine Learning, and Deep Learning with OpenCV 4, then you should surely go for this Learning Path.This hands-on course on OpenCV not only helps you learn computer vision and ML with OpenCV 4 but also enables you to apply these skills to your projects. You will firstly set up your development environment for building 5 interesting computer vision applications for Face and Eyes detection, Emotion recognition, and Fast QR code detection. You will then explore essential machine learning and deep learning concepts such as supervised learning, unsupervised learning, neural networks, and learn how to combine them with other OpenCV functionality for image processing and object detection. Along the way, you will also get some tips and tricks to work efficiently.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Hands-On OpenCV 4 with Python, is designed for you to develop some real-world computer vision applications. You will begin with setting up your environment. You will then build five exciting applications. You will also be introduced to all necessary concepts and then moving into the field of Artificial Intelligence (AI) and deep learning such as classification and object detection with OpenCV 4.The second course, OpenCV 4 Computer Vision with Python Recipes, starts off with an introduction to OpenCV 4 and familiarizes you with the advancements in this version. You will learn how to handle images, enhance, and transform them. You will also develop some cool applications including Face and Eyes detection, Emotion recognition, and Fast QR code detection & decoding which can be deployed anywhere.The third course, Hands-On Machine Learning with OpenCV 4, will immerse you in Machine Learning and Deep Learning, and you'll learn about key topics and concepts along the way.By the end of this course, you will be able to tackle increasingly challenging computer vision problems faced in day-to-day life and leverage the power of machine learning algorithms to build machine learning systems and computer vision applications that are smarter, faster, more complex, and more practical.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help their clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as Big Data, Data Science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of their data, and process it in more intelligent ways.The company lives by their motto: Data -> Intelligence -> Action.Sourav Johar has over two years of experience with OpenCV and over three years of experience coding in Python. He has also developed an open source library built on top of OpenCV. Along with this, he has developed several Deep Learning solutions, using OpenCV for video analysis. As a computer vision enthusiast, he completely understands what problems students face. He is very passionate about programming and enjoys making programming tutorials on YouTube. He is currently working for Colibri Digital (@colibri_digital) as an instructor.Muhammad Hamza Javed is a self-taught Machine Learning engineer, an entrepreneur and an author having over five years of industrial experience. He and his team has been working on several Computer Vision and Machine Learning international projects. He started working when he was 17 and kept learning new technologies and skills since then. His areas of expertise include Computer Vision, Machine Learning and Deep Learning. He learned skills own his own without a direct mentor - so he knows how troublesome it is for everyone to find to-the-point content that really improves one's skill-set. He's designed this course considering the challenges he faced when he learned and, in the projects, so you don't have to spend too much time on finding what's best for you.
