Open Source Computer Vision Library https://opencv.org/
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1.7 KiB

OpenCV Tutorials

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