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OpenCV 5.0

Open Source Computer Vision

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Section Navigation

  • Introduction
  • How to use pre-built OpenCV binaries
  • OpenCV Tutorials
  • Python Tutorials
  • Javascript Tutorials
  • Contrib Tutorials
  • Main modules
  • Extra modules
    • Alpha Matting
    • Improved Background-Foreground Segmentation Methods
    • Biologically inspired vision models and derivated tools
    • Ascend-accelerated Computer Vision
    • Custom Calibration Pattern for 3D reconstruction
    • 3D object recognition and pose estimation API
    • Operations on Matrices
    • Background Segmentation
    • Video Encoding/Decoding
    • Feature Detection and Description
    • Image Filtering
    • Image Processing
    • Legacy support
      • NPPST Core
      • NPPST Image Processing
      • NPPST Signal Processing
      • NcvCTprep namespace
      • Class cv::cuda::BackgroundSubtractorFGD
      • Class cv::cuda::BackgroundSubtractorGMG
      • Class cv::cuda::FastOpticalFlowBM
      • Struct cv::cuda::FGDParams
      • Struct HaarClassifierCascadeDescriptor
      • Struct HaarClassifierNode128
      • Struct HaarClassifierNodeDescriptor32
      • Struct HaarFeature64
      • Struct HaarFeatureDescriptor32
      • Struct HaarStage64
      • Class cv::cuda::ImagePyramid
      • Class INCVMemAllocator
      • Struct NCVBroxOpticalFlowDescriptor
      • Class NCVMatrix
      • Class NCVMatrixAlloc
      • Class NCVMatrixReuse
      • Class NCVMemNativeAllocator
      • Struct NCVMemPtr
      • Struct NCVMemSegment
      • Class NCVMemStackAllocator
      • Struct NcvPoint2D32s
      • Struct NcvPoint2D32u
      • Struct NcvRect32s
      • Struct NcvRect32u
      • Struct NcvRect8u
      • Struct NcvSize32s
      • Struct NcvSize32u
      • Class NCVVector
      • Class NCVVectorAlloc
      • Class NCVVectorReuse
    • Object Detection
    • Optical Flow
    • Stereo Correspondence
    • Image Warping
    • Device layer
    • GUI for Interactive Visual Debugging of Computer Vision Programs
    • Framework for working with different datasets
    • DNN used for object detection
    • DNN used for super resolution
    • Deformable Part-based Models
    • Face Analysis
    • Module-wrapper for FastCV hardware accelerated functions
    • Drawing UTF-8 strings with freetype/harfbuzz
    • Image processing based on fuzzy mathematics
    • Graph API
    • Hierarchical Data Format I/O routines
    • Hierarchical Feature Selection for Efficient Image Segmentation
    • The module brings implementations of different image hashing algorithms.
    • The module brings implementations of intensity transformation algorithms to adjust image contrast.
    • Julia bindings for OpenCV
    • Binary descriptors for lines extracted from an image
    • Machine Learning
    • Optical Flow Algorithms
    • OGRE 3D Visualiser
    • Phase Unwrapping API
    • Plot function for Mat data
    • Image Quality Analysis (IQA) API
    • silhouette based 3D object tracking
    • Image Registration
    • RGB-Depth Processing
    • Saliency API
    • Structure From Motion
    • Shape Distance and Matching
    • Signal Processing
    • Structured Light API
    • Super Resolution
    • Surface Matching
    • Scene Text Detection and Recognition
    • Tracking API
    • Video Stabilization
    • 3D Visualizer
    • WeChat QR code detector for detecting and parsing QR code.
    • Extra 2D Features Framework
    • Extended Image Processing
    • Object Detection
    • Additional photo processing algorithms
    • Extra Stereo Correspondance Algorithms
  • Frequently Asked Questions
  • Bibliography
  • Extra modules
  • Legacy support
  • NcvCTprep namespace

NcvCTprep namespace#

Legacy support

Classes#

Name

struct CT_ASSERT_FAILURE

struct CT_ASSERT_FAILURE< true >

struct assertTest

Detailed Description#

Compile-time assert namespace

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NPPST Signal Processing

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Class cv::cuda::BackgroundSubtractorFGD

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