OpenCV
4.7.0-dev
Open Source Computer Vision
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Class for computing the optical flow vectors between two images using NVIDIA Optical Flow hardware and Optical Flow SDK 2.0. More...
#include <opencv2/cudaoptflow.hpp>
Public Member Functions | |
virtual void | convertToFloat (InputArray flow, InputOutputArray floatFlow)=0 |
convertToFloat() helper function converts the hardware-generated flow vectors to floating point representation (1 flow vector for gridSize). gridSize can be queried via function getGridSize(). More... | |
Public Member Functions inherited from cv::cuda::NvidiaHWOpticalFlow | |
virtual void | calc (InputArray inputImage, InputArray referenceImage, InputOutputArray flow, Stream &stream=Stream::Null(), InputArray hint=cv::noArray(), OutputArray cost=cv::noArray())=0 |
Calculates Optical Flow using NVIDIA Optical Flow SDK. More... | |
virtual void | collectGarbage ()=0 |
Releases all buffers, contexts and device pointers. More... | |
virtual int | getGridSize () const =0 |
Returns grid size of output buffer as per the hardware's capability. More... | |
Public Member Functions inherited from cv::Algorithm | |
Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. More... | |
virtual bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More... | |
virtual String | getDefaultName () const |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. More... | |
virtual void | save (const String &filename) const |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. More... | |
void | write (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
Additional Inherited Members | |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Class for computing the optical flow vectors between two images using NVIDIA Optical Flow hardware and Optical Flow SDK 2.0.
Supported grid size for hint buffer.
Supported grid size for output buffer.
Supported optical flow performance levels.
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pure virtual |
convertToFloat() helper function converts the hardware-generated flow vectors to floating point representation (1 flow vector for gridSize). gridSize can be queried via function getGridSize().
flow | Buffer of type CV_16FC2 containing flow vectors generated by calc(). |
floatFlow | Buffer of type CV_32FC2, containing flow vectors in floating point representation, each flow vector for 1 pixel per gridSize, in the pitch-linear layout. |
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static |
Instantiate NVIDIA Optical Flow.
imageSize | Size of input image in pixels. |
perfPreset | Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW. |
outputGridSize | Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1. |
hintGridSize | Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1. |
enableTemporalHints | Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false. |
enableExternalHints | Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false. |
enableCostBuffer | Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false. |
gpuId | Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0. |
inputStream | Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream; |
outputStream | Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream; |
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static |
Instantiate NVIDIA Optical Flow with ROI Feature.
imageSize | Size of input image in pixels. |
roiData | Pointer to ROI data. |
perfPreset | Optional parameter. Refer NV OF SDK documentation for details about presets. Defaults to NV_OF_PERF_LEVEL_SLOW. |
outputGridSize | Optional parameter. Refer NV OF SDK documentation for details about output grid sizes. Defaults to NV_OF_OUTPUT_VECTOR_GRID_SIZE_1. |
hintGridSize | Optional parameter. Refer NV OF SDK documentation for details about hint grid sizes. Defaults to NV_OF_HINT_VECTOR_GRID_SIZE_1. |
enableTemporalHints | Optional parameter. Flag to enable temporal hints. When set to true, the hardware uses the flow vectors generated in previous call to calc() as internal hints for the current call to calc(). Useful when computing flow vectors between successive video frames. Defaults to false. |
enableExternalHints | Optional Parameter. Flag to enable passing external hints buffer to calc(). Defaults to false. |
enableCostBuffer | Optional Parameter. Flag to enable cost buffer output from calc(). Defaults to false. |
gpuId | Optional parameter to select the GPU ID on which the optical flow should be computed. Useful in multi-GPU systems. Defaults to 0. |
inputStream | Optical flow algorithm may optionally involve cuda preprocessing on the input buffers. The input cuda stream can be used to pipeline and synchronize the cuda preprocessing tasks with OF HW engine. If input stream is not set, the execute function will use default stream which is NULL stream; |
outputStream | Optical flow algorithm may optionally involve cuda post processing on the output flow vectors. The output cuda stream can be used to pipeline and synchronize the cuda post processing tasks with OF HW engine. If output stream is not set, the execute function will use default stream which is NULL stream; |