OpenCV for Python Developers
Duration: 3h 5m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 444 MB
Genre: eLearning | Language: English
Duration: 3h 5m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 444 MB
Genre: eLearning | Language: English
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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