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所在平台: Udemy |
课程主页: https://www.udemy.com/course/real-time-object-detection-in-video-using-yolo-on-iphone/
课程评论：没有评论
课程名称：使用iPhone上的YOLO在视频中进行实时目标检测 课程概述： 本课程将教授如何使用YOLO深度学习算法构建实时目标检测引擎。深度学习在让机器能够识别图像和视频中的物体方面非常流行，一旦训练完成，便可用于检测任何视频或图像中的物体。 YOLO（You Only Look Once）算法因其实时性而广受欢迎，它能以每秒45帧或20毫秒内的速度检测物体，这使其在自动驾驶汽车等需要实时物体检测以避免碰撞的领域极具吸引力。与之前的算法不同，YOLO只扫描图像一次。 本教程适合初学者，将帮助您构建强大的图像搜索引擎基础，内容涵盖： * YOLO基础知识 * 深度学习和卷积神经网络（CNN）基础 * YOLO在自动驾驶汽车用例中的优势 * 使用YOLO、Core ML和Swift在视频中构建真实的物体检测应用 * 使用YOLO、Core ML和Swift在图像中构建真实的物体检测应用 这项技能将让您如虎添翼。学习实时目标检测的基础知识，您将掌握一项强大且非常有用的工具。Swift、YOLO和Core ML均为免费、易于学习且拥有出色的文档。 本课程假设您没有CNN或深度学习的先验知识，课程将从零开始涵盖CNN等主题。目标检测领域的就业机会众多，学习实时目标检测将为您带来显著优势。YOLO是尖端技术，能帮助您快速实现目标。通过YOLO学习目标检测，将助您成为一名需求量大的计算机视觉开发者。 课程内容和概述： 本课程将指导您使用开源的YOLO、OpenCV和Python来构建实时目标检测引擎。您将跟随讲师一步步完成以下内容： * 实时视频目标检测 * 实时图像目标检测 * CNN和YOLO基础知识 您将从本课程中获得： * 向专业讲师学习YOLO，并从桌面环境构建实时目标检测引擎。 * 超过10个讲座，教授如何构建实时目标检测引擎。 * 适合初学者程序员，以及通过实践学习效果更佳的用户。 * 视觉化教学方法，提高记忆力和加速学习。 * 将最复杂的应用分解为简单的步骤。 * 提供挑战题以巩固概念，并附有解决方案以供验证。 教学大纲：无
Course DescriptionLearn to build real time object detection engine using YOLO deep learning algorithm. Deep learning is popular where a machine can be trained to detect objects in video and images. Once trained, it can be used to detect objects in any video or image.Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.Build a strong foundation in image search engines with this tutorial for beginners.Understanding fundamentals of YOLOUnderstanding fundamentals of deep learning and CNN Benefits of YOLO for self driving car use caseBuild a real life object detection in video using YOLO, coreml and swiftBuild a real life object detection in image using YOLO, coreml and swiftA Powerful Skill at Your Fingertips Learning the fundamentals of real time object detection puts a powerful and very useful tool at your fingertips. swift, YOLO and coreml are free, easy to learn, has excellent documentation.No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch. Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal. Learning object detection with YOLO will help you become a computer vision developer which is in high demand.Content and Overview This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python. You will work along with me step by step to build following answersReal time object detection in VideoReal time object detection in imageFundamentals of CNN and YOLOWhat am I going to get from this course?Learn YOLO and build real time object detection engine from professional trainer from your own desk.Over 10 lectures teaching you how to build real time object detection engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
