Video Analytics using OpenCV and Python Shells

所在平台: Udemy

课程主页: https://www.udemy.com/course/video-analytics-using-opencv-and-python-shells/

课程评论:没有评论

第一个写评论        关注课程

课程简介

课程名称:使用OpenCV和Python Shells进行视频分析 概述:OpenCV(开源计算机视觉库)在BSD许可证下发布,因此无论是学术还是商业用途均可免费使用。它拥有C++、C、Python和Java接口。计算机视觉应用及技术正在迅速发展,许多应用和行业正在出色地利用这一技术。通过本培训,参与者将学习如何使用OpenCV进行视频分析。培训内容包括:对象检测、颜色模型(HSL模型、HSV模型、RGB模型)、图像加载、图像阈值处理、斑点检测、运动检测、视频捕捉(从视频文件捕捉视频)、背景减除、视频保存、基于颜色空间的跟踪、Camshift算法、基于光流的跟踪、面部检测和轮廓基线跟踪。 本OpenCV培训项目旨在使个人熟练掌握OpenCV库的使用,这一库通常用于开发计算机视觉应用。OpenCV是一个跨平台库,通常用于开发实时计算机视觉应用,这些应用涉及视觉美学、图像处理和视频捕捉等领域。培训的目标是缩小行业需求与个人技能之间的差距,通过提供行业准备就绪的OpenCV培训。 通过本培训项目,参与者能够理解OpenCV的核心概念,并能够将所学知识应用于实际工作中。培训的质量和成果取决于参与者在练习和复习培训中教授的技能和概念方面投入的努力。参与者将在培训中学习诸如数据科学、数据可视化、视频分析、OpenCV、Python、线性代数、概率、商业分析、预测分析、随机森林等诸多领域的知识。一旦个人熟练掌握这些技术,市场将为其提供广泛的职业机会,例如数据分析师、商业分析师、统计学家、质量工程师、质量经理、顾问、软件测试工程师、统计分析师和团队领导等职位。

课程评论(0条)

课程详情

OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it's free for both academic and commercial use. It has C++, C, Python and Java interfaces. Computer vision applications and technology are blowing up right now! With several apps and industries making amazing use of the technology. Through this training we shall understand and learn how to perform video analysis with OpenCV.The training will include the following;Object detectionColor models- HSL model, HSV model, RGB modelImage loadingImage thresholdingBlob detectionMotion DetectionCapture video from videoCapture video from video fileBackground subtractionSaving videoColorspace based trackingCamshift algorithmOptical flow based trackingFace detectionContour based trackingThe goal behind providing this open CV training program is to make individuals proficient with the use of open CV library that is commonly used for developing computer vision applications. Open CV is a cross-platform library that is normally used for developing real-time computer vision applications that use visual aesthetics, image processing, video capture, etc. The training abs and bridging the gap between the industry demand and the individual skillset by providing this industry-ready training on an open CV. With the help of this training program, participants would be able to understand the concepts of open CV and can implement their knowledge in the industry easily.With the help of this training program or open CV, individuals would be able to understand the core concepts of open CV and camp detail about the course as per their eagerness to learn new things. The quality and output of the training depend on the efforts that a participant will put in practicing and revising the skills and concepts taught in the training program. Many schools will learn throughout the training like data science, data visualization, video analytics, Open CV, Python, linear algebra, probability, business analytics, predictive analysis, random forest, etc. once an individual becomes proficient with the use of these technologies there ample of opportunities that are open for the individuals as the market is demanding these skills to a great extent and ready to offer opportunities like data analyst, business analyst, statistician, quality engineer, quality manager, consultant, software test engineer, statistical analyst, team leader opportunities that are open for the individuals.

课程标签

0人关注该课程

主题相关的课程