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| Line 62: |
Line 62: |
| |} | | |} |
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| |
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| ===Samples=== | | ====Samples==== |
| {|
| | [[File:OF_frame1.png|none|frame|First Input Image (8-bit)]] |
| |-
| | <br/> |
| |[[File:OF_frame1.png|frame|First Input Image (8-bit)]]
| | [[File:OF_frame2.png|none|frame|Second Input Image (8-bit)]] |
| |[[File:OF_frame2.png|frame|Second Input Image (8-bit)]]
| | <br/> |
| |-
| | [[File:OF_flowMag.png|none|frame| Optical Flow Magnitude]] |
| |[[File:OF_flowMag.png|frame| Optical Flow Magnitude]]
| | <br/> |
| |[[File:OF_sparseFlow.png|frame| Flow of selected points]]
| | [[File:OF_sparseFlow.png|none|frame| Flow of selected points]] |
| |}
| | <br/> |
| | |
| | |
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| |
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| ===Example=== | | ===Example=== |
Revision as of 22:17, 18 October 2022
Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.
Function
CuviStatus opticalFlowPyrLKDense(const CuviImage& previous,
const CuviImage& next,
Cuvi32f* flowX
Cuvi32f* flowY,
const CuviTrackingCriteria criteria,
const CuviStream& stream = CuviStream());
|
Parameters
| Name
|
Type
|
Description
|
| previous
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CuviImage&
|
The first image whose features are to be tracked
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| next
|
CuviImage&
|
Second image, in which to look for features of first image
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| flowX
|
Cuvi32f*
|
Horizontal optical flow
|
| flowY
|
Cuvi32f*
|
Vertical optical flow
|
| criteria
|
const CuviFeaturesCriteria
|
A structure containing various parameters that affect optical flow calculation
|
| stream
|
const CuviStream&
|
GPU stream ID for execution
|
|
Image Type Support
| Input
|
Output
|
| 2x 8uC1
|
2x Cuvi32f*
|
|
Samples
Error creating thumbnail: Unable to save thumbnail to destination
First Input Image (8-bit)
Error creating thumbnail: Unable to save thumbnail to destination
Second Input Image (8-bit)
Error creating thumbnail: Unable to save thumbnail to destination
Optical Flow Magnitude
Error creating thumbnail: Unable to save thumbnail to destination
Flow of selected points
Example
//Create two 8-bit Grays-scale CuviImage objects
CuviImage gimg1 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
CuviImage gimg2 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
Cuvi32f* flowX = new Cuvi32f[gimg1.width() * gimg1.height()];
Cuvi32f* flowY = new Cuvi32f[gimg1.width() * gimg1.height()];
//tracking criteria
CuviTrackingCriteria tc;
//Compute optical flow between first frame and second frame
cuvi::computerVision::opticalFlowPyrLKDense(gimg1,gimg2,flowX,flowY,tc);
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