Function:OpticalFlowHS
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Function
CuviStatus opticalFlowHS(const CuviImage& previous,
const CuviImage& next,
Cuvi32f* flowX,
Cuvi32f* flowY,
const bool usePrevious,
const Cuvi32f lambda = 1.0f ,
const Cuvi32s iterations = 1,
const CuviStream& stream = CuviStream());
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Parameters
| Name | Type | Description |
|---|---|---|
| previous | const CuviImage& | The first image whose features are to be tracked |
| next | const CuviImage& | Second image, in which to look for features of first image |
| flowX | Cuvi32f* | Horizontal velocity vector |
| flowY | Cuvi32f* | Vertical velocity vector |
| usePrevious | bool | use previous (input) velocity field |
| lambda | const Cuvi32f | Lagrangian multiplier |
| iterations | const Cuvi32s | Maximum number of iterations |
| stream | CuviStream* | GPU stream ID for execution |
Image Type Support
| Input | Output |
|---|---|
| 8uC1 | 32fC1 |
Sample
Example
//Create two 8-bit Grays-scale CuviImage
CuviImage gimg1 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
CuviImage gimg2 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
//Create output memory
Cuvi32f* u = new Cuvi32f[gimg.width() * gimg.height()];
Cuvi32f* v = new Cuvi32f[gimg.width() * gimg.height()];
//Calculates flow of each image pixel in two frames using Horn–Schunck method
cuvi::computerVision::opticalFlowHS(gimg1,gimg2,u,v,false); |