Open Source Computer Vision Library
https://opencv.org/
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22 lines
1.7 KiB
22 lines
1.7 KiB
OpenCV Tutorials {#tutorial_root} |
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- @subpage tutorial_table_of_content_introduction - build and install OpenCV on your computer |
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- @subpage tutorial_table_of_content_core - basic building blocks of the library |
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- @subpage tutorial_table_of_content_imgproc - image processing functions |
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- @subpage tutorial_table_of_content_highgui - built-in graphical user interface |
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- @subpage tutorial_table_of_content_imgcodecs - read and write images from/to files using _imgcodecs_ module |
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- @subpage tutorial_table_of_content_videoio - read and write videos using _videio_ module |
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- @subpage tutorial_table_of_content_calib3d - extract 3D world information from 2D images |
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- @subpage tutorial_table_of_content_features2d - feature detectors, descriptors and matching framework |
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- @subpage tutorial_table_of_content_video - algorithms for video streams: motion detection, object and feature tracking, etc. |
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- @subpage tutorial_table_of_content_objdetect - detect objects using conventional CV methods |
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- @subpage tutorial_table_of_content_dnn - infer neural networks using built-in _dnn_ module |
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- @subpage tutorial_table_of_content_ml - machine learning algorithms for statistical classification, regression and data clustering |
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- @subpage tutorial_table_of_content_gapi - graph-based approach to computer vision algorithms building |
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- @subpage tutorial_table_of_content_photo - advanced photo processing |
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- @subpage tutorial_table_of_content_stitching - create panoramas and more using _stitching_ module |
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- @subpage tutorial_table_of_content_ios - running OpenCV on an iDevice |
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@cond CUDA_MODULES |
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- @subpage tutorial_table_of_content_gpu - utilizing power of video card to run CV algorithms |
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@endcond
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