通过互动讨论和实践练习如何利用OpenCV进行计算机视觉项目，本地，有指导的实时OpenCV（开源计算机视觉库）培训课程将展示。 OpenCV培训可作为“现场实时培训”或“远程实时培训”。现场实地培训可在当地客户现场进行中国或者在NobleProg公司的培训中心中国 。远程实时培训通过交互式远程桌面进行。 NobleProg您当地的培训提供商。
Machine Translated
客户评论
我真的很喜欢亲自动手的方法。
Kevin De Cuyper
课程: Computer Vision with OpenCV
Machine Translated
轻松使用VideoCapture功能从笔记本电脑相机中获取视频图像..
HP Printing and Computing Solutions, Sociedad Limitada Unipe
课程: Computer Vision with OpenCV
Machine Translated
我很享受培训师提供的关于如何使用这些工具的建议。这是从互联网无法获得的东西，非常有用..
HP Printing and Computing Solutions, Sociedad Limitada Unipe
课程: Computer Vision with OpenCV
Machine Translated
我很享受培训师提供的关于如何使用这些工具的建议。这是从互联网无法获得的东西，非常有用..
HP Printing and Computing Solutions, Sociedad Limitada Unipe
课程: Computer Vision with OpenCV
Machine Translated
这很容易理解。
HP Printing and Computing Solutions, Sociedad Limitada Unipe
课程: Computer Vision with OpenCV
Machine Translated
OpenCV课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
28小时
课程概览
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.
Audience
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
Audience
This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
21小时
课程概览
这个有指导意义的实时培训介绍了从零开始构建面部识别系统所需的软件，硬件和分步骤过程。面部识别也被称为人脸识别。 本实验中使用的硬件包括Rasberry Pi，相机模块，舵机（可选）等。参与者负责自行购买这些组件。使用的软件包括OpenCV，Linux，Python等。 在培训结束后，参与者将能够： 在Rasberry Pi上安装Linux，OpenCV和其他软件实用程序和库。 配置OpenCV以捕获和检测面部图像。 了解将Rasberry Pi系统打包用于实际环境的各种选项。 使系统适应各种用例，包括监视，身份验证等。 听众 开发商硬件/软件技术人员所有行业的技术人员爱好者 课程的格式 部分讲座，部分讨论，练习和沉重的练习 注意 其他硬件和软件选项包括：Arduino，OpenFace，Windows等。如果您想使用其中的任何一种，请联系我们安排。
14小时
课程概览
This instructor-led, live training in 中国 (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.
By the end of this training, participants will be able to:
- View, load, and classify images and videos using OpenCV 4.
- Implement deep learning in OpenCV 4 with TensorFlow and Keras.
- Run deep learning models and generate impactful reports from images and videos.
By the end of this training, participants will be able to:
- View, load, and classify images and videos using OpenCV 4.
- Implement deep learning in OpenCV 4 with TensorFlow and Keras.
- Run deep learning models and generate impactful reports from images and videos.
近期OpenCV培训课程
2021-06-30 09:30:00
上海 - 上海中区广场
14 小时
2021-06-30 09:30:00
上海 - 上海中区广场
14 小时
2021-07-06 09:30:00
上海 - 上海中区广场
28 小时
2021-07-06 09:30:00
上海 - 上海中区广场
28 小时
2021-08-03 09:30:00
上海 - 上海中区广场
21 小时
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