
OpenCV 是一个用于高级图像识别的工具包。它是用于面部识别的最流行的专业工具之一,并被广泛用于各种安全、营销和摄影应用程序。本课程向 Python 开发人员详细介绍 OpenCV,从安装和配置 Mac、Windows 或 Linux 开发环境以及 Python 3 开始。了解 OpenCV 独有的数据和图像类型,并了解如何操作像素和图像. 讲师 Patrick W. Crawford 还展示了如何读取视频流作为输入,以及如何创建自定义实时视频界面。然后是 OpenCV 的真正力量:对象、面部和特征检测。
Released 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 3h 5m | Size: 444 MB
OpenCV is a toolkit for advanced image recognition. It is among the most popular professional tools used for facial recognition and is being used in a wide variety of security, marketing, and photography applications. This course offers Python developers a detailed introduction to OpenCV, 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 pre-train machine learning models to identify and recognize features.
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