OpenCV - Full Tutorial with Python смотреть онлайн

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OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and deep learning.

OpenCV is a library of programming functions mainly aimed at real-time computer vision. It was initially developed by Intel and later supported by Willow Garage then Itseez. The library is cross-platform and free for use under the open-source Apache 2 License.



Learn everything you need to know about OpenCV in this full for beginners. You will learn the basics (reading images and videos, image transformations) to more advanced concepts (color spaces, edge detection). Towards the end, you'll have hands-on experience building a Deep Computer Vision model to classify between the characters in the popular TV series


Introduction to OpenCV - build and install OpenCV on your computer
The Core Functionality (core module) - basic building blocks of the library
Image Processing (imgproc module) - image processing functions
Application utils (highgui, imgcodecs, video modules) - application utils (GUI, image/video input/output)
Camera calibration and 3D reconstruction (calib3d module) - extract 3D world information from 2D images
2D Features framework (feature2d module) - feature detectors, descriptors, and matching framework
Deep Neural Networks (dnn module) - infer neural networks using built-in dnn module
Graph API (gapi module) - graph-based approach to computer vision algorithms building
Other tutorials (ml, object, photo, stitching, video) - other modules (ml, object, stitching, video, photo)
OpenCV iOS - running OpenCV on an iDevice
GPU-Accelerated Computer Vision (Cuda module) - utilizing the power of video card to run CV algorithms


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