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OpenCV
4.1.1-pre
Open Source Computer Vision
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OpenCV
4.1.1-pre
Open Source Computer Vision
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| ▼Core functionality | |
| Basic structures | |
| ►C structures and operations | |
| Operations on arrays | |
| Asynchronous API | |
| XML/YAML Persistence | XML/YAML/JSON file storages |
| Clustering | |
| ►Utility and system functions and macros | |
| OpenGL interoperability | This section describes OpenGL interoperability |
| Intel IPP Asynchronous C/C++ Converters | |
| Optimization Algorithms | The algorithms in this section minimize or maximize function value within specified constraints or without any constraints |
| DirectX interoperability | |
| Eigen support | |
| OpenCL support | |
| Intel VA-API/OpenCL (CL-VA) interoperability | This section describes Intel VA-API/OpenCL (CL-VA) interoperability |
| ►Hardware Acceleration Layer | |
| ▼Image Processing | This module includes image-processing functions |
| Image Filtering | Functions and classes described in this section are used to perform various linear or non-linear filtering operations on 2D images (represented as Mat's) |
| Geometric Image Transformations | The functions in this section perform various geometrical transformations of 2D images |
| Miscellaneous Image Transformations | |
| Drawing Functions | Drawing functions work with matrices/images of arbitrary depth |
| Color Space Conversions | |
| ColorMaps in OpenCV | The human perception isn't built for observing fine changes in grayscale images |
| Planar Subdivision | The Subdiv2D class described in this section is used to perform various planar subdivision on a set of 2D points (represented as vector of Point2f) |
| Histograms | |
| Structural Analysis and Shape Descriptors | |
| Motion Analysis and Object Tracking | |
| Feature Detection | |
| Object Detection | |
| C API | |
| ►Hardware Acceleration Layer | |
| ▼Image file reading and writing | |
| C API | |
| iOS glue | |
| ▼Video I/O | Read and write video or images sequence with OpenCV |
| Flags for video I/O | |
| Additional flags for video I/O API backends | |
| C API for video I/O | |
| iOS glue for video I/O | |
| WinRT glue for video I/O | |
| Query I/O API backends registry | This section contains API description how to query/configure available Video I/O backends |
| ▼High-level GUI | While OpenCV was designed for use in full-scale applications and can be used within functionally rich UI frameworks (such as Qt*, WinForms*, or Cocoa*) or without any UI at all, sometimes there it is required to try functionality quickly and visualize the results |
| OpenGL support | |
| Qt New Functions |  |
| WinRT support | This figure explains new functionality implemented with WinRT GUI. |
| C API | |
| ▼Video Analysis | |
| Motion Analysis | |
| Object Tracking | |
| C API | |
| ▼Camera Calibration and 3D Reconstruction | The functions in this section use a so-called pinhole camera model |
| Fisheye camera model | Definitions: Let P be a point in 3D of coordinates X in the world reference frame (stored in the matrix X) The coordinate vector of P in the camera reference frame is: |
| C API | |
| ▼2D Features Framework | |
| Feature Detection and Description | |
| Descriptor Matchers | Matchers of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch between different algorithms solving the same problem |
| Drawing Function of Keypoints and Matches | |
| Object Categorization | This section describes approaches based on local 2D features and used to categorize objects |
| ▼Object Detection | Haar Feature-based Cascade Classifier for Object Detection |
| C API | |
| ▼Deep Neural Network module | This module contains: |
| Partial List of Implemented Layers | This subsection of dnn module contains information about built-in layers and their descriptions |
| Utilities for New Layers Registration | |
| Machine Learning | The Machine Learning Library (MLL) is a set of classes and functions for statistical classification, regression, and clustering of data |
| Clustering and Search in Multi-Dimensional Spaces | This section documents OpenCV's interface to the FLANN library |
| ▼Computational Photography | This module includes photo processing algorithms |
| Inpainting | Inpainting algorithm |
| Denoising | |
| HDR imaging | This section describes high dynamic range imaging algorithms namely tonemapping, exposure alignment, camera calibration with multiple exposures and exposure fusion |
| Contrast Preserving Decolorization | Useful links: |
| Seamless Cloning | Useful links: |
| Non-Photorealistic Rendering | Useful links: |
| ▼Images stitching | This figure illustrates the stitching module pipeline implemented in the Stitcher class |
| Features Finding and Images Matching | |
| Rotation Estimation | |
| Autocalibration | |
| Images Warping | |
| Seam Estimation | |
| Exposure Compensation | |
| Image Blenders | |
| ▼G-API core (basic) functionality | |
| Graph API: Math operations | |
| Graph API: Pixelwise operations | Gapi_math |
| Graph API: Operations on matrices | |
| Graph API: Geometric, depth and LUT-like image transformations | |
| ▼G-API image processing functionality | |
| Graph API: Image filters | |
| Graph API: Converting image from one color space to another | |
| ▼G-API framework | |
| G-API Main Classes | |
| ►G-API Data Objects | Data-representing objects which can be used to build G-API expressions |
| G-API Standard backends | G-API backends available in this OpenCV version |
| G-API Graph Compilation Arguments | Compilation arguments: a set of data structures which can be passed to control compilation process |
| Core_logging | |
| Core_utils_vsx | |
| Featrure2d_hal_interface | |
| Features2d_hal_interface |
1.8.13