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OpenCV for Python Developers 2017年9月
OpenCV is an open-source toolkit for advanced computer vision. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics. This course offers Python developers a detailed introduction to OpenCV 3, starting with installing and configuring your Mac, Windows, or Linux development environment along with Python 3. Learn about the data and image types unique to OpenCV, and find out how to manipulate pixels and images. Instructor Patrick W. Crawford also shows how to read video streams as inputs, and create custom real-time video interfaces. Then comes the real power of OpenCV: object, facial, and feature detection. Learn how to leverage the image-processing power of OpenCV using methods like template matching and machine learning data to identify and recognize features.OpenCV是计算机视觉领域应用最广泛的开源工具包，基于C/C++，支持Linux/Windows/MacOS/Android/iOS，并提供了Python，Matlab和Java等语言的接口，因为其丰富的接口，优秀的性能和商业友好的使用许可，不管是学术界还是业界中都非常受欢迎。2010年OpenCV发布了2.0版本，添加了非常完备的C++接口，从2.0开始的版本非常用户非常庞大，至今仍在维护和更新。2015年OpenCV 3正式发布，除了架构的调整，还加入了更多算法，更多性能的优化和更加简洁的API，另外也加强了对GPU的支持，现在已经在许多研究机构和商业公司中应用开来。
Topics include:- Installing and configuring OpenCV
- Data types and structures
- Image types
- Manipulating pixels
- Scaling and rotating images
- Using video inputs
- Creating custom interfaces
- Thresholding
- Object detection
- Face and feature detection
- Template matching
作者介绍：
Patrick W. Crawford is a digital artist, developer, and Blender enthusiast. He heads TheDuckCow, a studio that has created animated music videos reaching tens of millions, software used by thousands, and tutorials and walkthroughs that inspire others to make their own great creations.
下载地址：itjc20
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发表于 2017-11-1 00:30:00
发表于 2017-11-1 00:42:52
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