Introduction to Computer Vision with Watson and OpenCV

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课程主页: https://www.coursera.org/archive/introduction-computer-vision-watson-opencv

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课程大纲

Classifiers with IBM Watson Visual Recognition (VR) - Part 2
Face Detection and Image Processing using IBM Watson and Python
Face Detection and Image Processing using OpenCV and Python
Project: Building a Web-Based Computer Vision App

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课程详情

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries. As part of this course you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers. This is a hands-on course and involves several labs and exercises. All the labs will be performed on the Cloud and you will be provided access to a Cloud environment completely free of charge. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud. This course does not require any prior Machine Learning or Computer Vision experience, however some knowledge of Python programming language is necessary.

Watson和OpenCV的计算机视觉简介:计算机视觉是机器学习和AI中最令人兴奋的领域之一。它在自动驾驶汽车,机器人技术,增强现实,执法机构的人脸检测等许多行业中都有应用。在此适合初学者的课程中,您将了解计算机视觉,并了解其在许多行业中的各种应用。 在本课程中,您将利用Python,Watson AI和OpenCV处理图像并与图像分类模型进行交互。您还将构建,训练和测试自己的自定义图像分类器。 这是一门动手实践的课程,涉及多个实验和练习。所有实验都将在云上执行,并且将完全免费为您提供对云环境的访问。在课程结束时,您将创建自己的计算机视觉Web应用程序并将其部署到Cloud。 本课程不需要任何机器学习或计算机视觉方面的经验,但是需要一些Python编程语言的知识。

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