OpenCV培训课程

OpenCV （开源Computer视觉库：http：//opencv.org）是一个开源的BSD许可库，包含数百种计算机视觉算法。

听众

本课程面向寻求将OpenCV用于计算机视觉项目的工程师和建筑师

OpenCV is a library of programming functions for deciphering images with computer algorithms. OpenCV 4 is the latest OpenCV release and it provides optimized modularity, updated algorithms, and more. With OpenCV 4 and Python, users will be able to view, load, and classify images and videos for advanced image recognition.

This instructor-led, live training (onsite or remote) 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.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

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。