Expand description
§Legacy support
Modules§
Structs§
- CUDA_
Background SubtractorFGD - The class discriminates between foreground and background pixels by building and maintaining a model of the background.
- CUDA_
Background SubtractorGMG - Background/Foreground Segmentation Algorithm.
- CUDA_
FGDParams - CUDA_
Fast Optical FlowBM - CUDA_
Image Pyramid
Enums§
- NCVMemory
Type - NCVMemoryType
- NppSt
Border Type - Border type
- NppSt
Interp Mode - Filter types for image resizing
Constants§
- HAAR_
STDDEV_ BORDER - Haar
Feature64_ Create Check_ MaxRect Field - Haar
Feature Descriptor32_ Create Check_ MaxFeature Offset - Haar
Feature Descriptor32_ Create Check_ MaxNum Features - Haar
Feature Descriptor32_ Interpret_ Mask Flag Left Node Leaf - Haar
Feature Descriptor32_ Interpret_ Mask Flag Right Node Leaf - Haar
Feature Descriptor32_ Interpret_ Mask Flag Tilted - Haar
Feature Descriptor32_ NumFeatures_ Shift - Haar
Stage64_ Interpret_ Mask Root Node Offset - Haar
Stage64_ Interpret_ Mask Root Nodes - Haar
Stage64_ Interpret_ Shift Root Node Offset - NCVMemory
Type Device - NCVMemory
Type Host Pageable - NCVMemory
Type Host Pinned - NCVMemory
Type None - NCVPipe
ObjDet_ Default - NCVPipe
ObjDet_ Find Largest Object - NCVPipe
ObjDet_ UseFair Image Scaling - NCVPipe
ObjDet_ Visualize InPlace - NCV_
ALLOCATOR_ BAD_ ALLOC - NCV_
ALLOCATOR_ BAD_ DEALLOC - NCV_
ALLOCATOR_ BAD_ REUSE - NCV_
ALLOCATOR_ DEALLOC_ ORDER - NCV_
ALLOCATOR_ INSUFFICIENT_ CAPACITY - NCV_
ALLOCATOR_ NOT_ INITIALIZED - NCV_
CUDA_ ERROR - NCV_
DIMENSIONS_ INVALID - NCV_
FILE_ ERROR - NCV_
HAAR_ INVALID_ PIXEL_ STEP - NCV_
HAAR_ TOO_ LARGE_ FEATURES - NCV_
HAAR_ TOO_ MANY_ FEATURES_ IN_ CASCADE - NCV_
HAAR_ TOO_ MANY_ FEATURES_ IN_ CLASSIFIER - NCV_
HAAR_ XML_ LOADING_ EXCEPTION - NCV_
INCONSISTENT_ INPUT - NCV_
INVALID_ ROI - NCV_
INVALID_ SCALE - NCV_
INVALID_ STEP - NCV_
LAST_ STATUS - Marker to continue error numeration in other files
- NCV_
MEM_ COPY_ ERROR - NCV_
MEM_ INSUFFICIENT_ CAPACITY - NCV_
MEM_ RESIDENCE_ ERROR - NCV_
NOIMPL_ HAAR_ TILTED_ FEATURES - NCV_
NOT_ IMPLEMENTED - NCV_
NPP_ ERROR - NCV_
NULL_ PTR - NCV_
SUCCESS - NCV_
TEXTURE_ BIND_ ERROR - NCV_
UNKNOWN_ ERROR - NCV_
WARNING_ HAAR_ DETECTIONS_ VECTOR_ OVERFLOW - NPPST_
CUDA_ KERNEL_ EXECUTION_ ERROR - CUDA kernel execution error
- NPPST_
ERROR - Unknown error
- NPPST_
INVALID_ ROI - Invalid region of interest argument
- NPPST_
INVALID_ SCALE - Invalid scale parameter passed
- NPPST_
INVALID_ STEP - Invalid image lines step argument (check sign, alignment, relation to image width)
- NPPST_
MEMCPY_ ERROR - CUDA memory copy error
- NPPST_
MEMFREE_ ERR - CUDA memory deallocation error
- NPPST_
MEM_ ALLOC_ ERR - CUDA memory allocation error
- NPPST_
MEM_ INSUFFICIENT_ BUFFER - Insufficient user-allocated buffer
- NPPST_
MEM_ INTERNAL_ ERROR - Internal memory management error
- NPPST_
MEM_ RESIDENCE_ ERROR - Memory residence error detected (check if pointers should be device or pinned)
- NPPST_
NULL_ POINTER_ ERROR - NULL pointer argument error
- NPPST_
SUCCESS - Successful operation (same as NPP_NO_ERROR)
- NPPST_
TEXTURE_ BIND_ ERROR - CUDA texture binding error or non-zero offset returned
- OBJDET_
MASK_ ELEMENT_ INVALID_ 32U - RECT_
SIMILARITY_ PROPORTION - nppSt
Bicubic - Bicubic convolution filter, a = -0.5 (cubic Hermite spline)
- nppSt
Border Clamp - Clamp out of range position to borders
- nppSt
Border Mirror - reflect out of range position across borders
- nppSt
Border None - There is no need to define additional pixels, image is extended already
- nppSt
Border Wrap - Wrap out of range position. Image becomes periodic.
- nppSt
Supersample - Supersampling. For downscaling only
Traits§
- CUDA_
Background SubtractorFGD Trait - Mutable methods for crate::cudalegacy::CUDA_BackgroundSubtractorFGD
- CUDA_
Background SubtractorFGD Trait Const - Constant methods for crate::cudalegacy::CUDA_BackgroundSubtractorFGD
- CUDA_
Background SubtractorGMG Trait - Mutable methods for crate::cudalegacy::CUDA_BackgroundSubtractorGMG
- CUDA_
Background SubtractorGMG Trait Const - Constant methods for crate::cudalegacy::CUDA_BackgroundSubtractorGMG
- CUDA_
FGDParams Trait - Mutable methods for crate::cudalegacy::CUDA_FGDParams
- CUDA_
FGDParams Trait Const - Constant methods for crate::cudalegacy::CUDA_FGDParams
- CUDA_
Fast Optical FlowBM Trait - Mutable methods for crate::cudalegacy::CUDA_FastOpticalFlowBM
- CUDA_
Fast Optical FlowBM Trait Const - Constant methods for crate::cudalegacy::CUDA_FastOpticalFlowBM
- CUDA_
Image Pyramid Trait - Mutable methods for crate::cudalegacy::CUDA_ImagePyramid
- CUDA_
Image Pyramid Trait Const - Constant methods for crate::cudalegacy::CUDA_ImagePyramid
Functions§
- calc_
optical_ flow_ bm - Calculates optical flow for 2 images using block matching algorithm
- calc_
optical_ flow_ bm_ def - Calculates optical flow for 2 images using block matching algorithm
- connectivity_
mask - compute mask for Generalized Flood fill componetns labeling.
- connectivity_
mask_ def - compute mask for Generalized Flood fill componetns labeling.
- create_
background_ subtractor_ fgd - Creates FGD Background Subtractor
- create_
background_ subtractor_ fgd_ def - Creates FGD Background Subtractor
- create_
background_ subtractor_ gmg - Creates GMG Background Subtractor
- create_
background_ subtractor_ gmg_ def - Creates GMG Background Subtractor
- create_
image_ pyramid - C++ default parameters
- create_
image_ pyramid_ def - Note
- create_
optical_ flow_ needle_ map - graphcut
- performs labeling via graph cuts of a 2D regular 4-connected graph.
- graphcut_
1 - performs labeling via graph cuts of a 2D regular 8-connected graph.
- graphcut_
1_ def - performs labeling via graph cuts of a 2D regular 8-connected graph.
- graphcut_
def - performs labeling via graph cuts of a 2D regular 4-connected graph.
- interpolate_
frames - Interpolates frames (images) using provided optical flow (displacement field).
- interpolate_
frames_ def - Interpolates frames (images) using provided optical flow (displacement field).
- label_
components - performs connected componnents labeling.
- label_
components_ def - performs connected componnents labeling.
- project_
points - C++ default parameters
- project_
points_ def - Note
- solve_
pnp_ ransac - Finds the object pose from 3D-2D point correspondences.
- solve_
pnp_ ransac_ def - Finds the object pose from 3D-2D point correspondences.
- transform_
points - C++ default parameters
- transform_
points_ def - Note