Function:OpticalFlowPyrLKDense - Revision history

Jawad: /* Example */

2022-10-18T14:18:01Z

Example

← Older revision		Revision as of 14:18, 18 October 2022
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	<br/>		<br/>

	===Example===		====Code Example====
	{\|		{\|
	\|style="font-size:~~150~~%;"\|		\|style="font-size:100%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">

Jawad: /* Samples */

2022-10-18T14:17:48Z

Samples

← Older revision		Revision as of 14:17, 18 October 2022
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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/>



	===Example===		===Example===

Jawad: /* Image Type Support */

2022-10-18T14:17:02Z

Image Type Support

← Older revision		Revision as of 14:17, 18 October 2022
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	\|}		\|}

	===Image Type Support===		====Image Type Support====
			{\|
			\|style="font-size:75%;"\|
	{\| class="wikitable"		{\| class="wikitable"
	\|-		\|-
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	\| 2x Cuvi32f*		\| 2x Cuvi32f*
	\|}		\|}
			\|}


	===Samples===		===Samples===

Jawad: /* Parameters */

2022-10-18T14:16:54Z

Parameters

← Older revision		Revision as of 14:16, 18 October 2022
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	===Parameters===		===Parameters===
			{\|
			\|style="font-size:75%;"\|
	{\|class="wikitable"		{\|class="wikitable"
	\|-		\|-
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	\| const CuviStream&		\| const CuviStream&
	\| GPU stream ID for execution		\| GPU stream ID for execution

	\|}		\|}
			\|}

	===Image Type Support===		===Image Type Support===

Jawad: /* Function */

2022-10-18T14:16:40Z

Function

← Older revision		Revision as of 14:16, 18 October 2022
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	__NOTOC__		__NOTOC__
	Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.		Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.
	===Function===		====Function====
	{\|		{\|
	\|style="font-size:~~150~~%;"\|		\|style="font-size:100%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus opticalFlowPyrLKDense(const CuviImage& previous,		CuviStatus opticalFlowPyrLKDense(const CuviImage& previous,

Jawad at 07:55, 19 April 2013

2013-04-19T07:55:45Z

← Older revision		Revision as of 07:55, 19 April 2013
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	\|style="font-size:150%;"\|		\|style="font-size:150%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus opticalFlowPyrLKDense(CuviImage* previousImage,		CuviStatus opticalFlowPyrLKDense(const CuviImage& previous,
	CuviImage* nextImage,		const CuviImage& next,
	Cuvi32f* flowX		Cuvi32f* flowX
	Cuvi32f* flowY,		Cuvi32f* flowY,
	CuviTrackingCriteria criteria,		const CuviTrackingCriteria criteria,
	CuviStream* stream = ~~NULL~~);		const CuviStream& stream = CuviStream());
	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}
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	! Description		! Description
	\|-		\|-
	\| ~~previousImage~~		\| previous
	\| CuviImage*		\| CuviImage&
	\| The first image whose features are to be tracked		\| The first image whose features are to be tracked
	\|-		\|-
	\| ~~nextImage~~		\| next
	\| CuviImage*		\| CuviImage&
	\| Second image, in which to look for features of first image		\| Second image, in which to look for features of first image
	\|-		\|-
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	\|-		\|-
	\| criteria		\| criteria
	\| CuviFeaturesCriteria		\| const CuviFeaturesCriteria
	\| A structure containing various parameters that affect optical flow calculation		\| A structure containing various parameters that affect optical flow calculation
	\|-		\|-
	\| stream		\| stream
	\| CuviStream*		\| const CuviStream&
	\| GPU stream ID for execution		\| GPU stream ID for execution

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	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">


	~~//Image size~~
	~~CuviSize size = cuviSize(width,height);~~

	//Create two 8-bit Grays-scale CuviImage objects		//Create two 8-bit Grays-scale CuviImage objects
	CuviImage* gimg1 = ~~new CuviImage~~(~~size,8~~,1);		CuviImage gimg1 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);
	CuviImage* gimg2 = ~~new CuviImage~~(~~size,8~~,1);		CuviImage gimg2 = cuvi::io::loadImage(path,CUVI_LOAD_IMAGE_GRAYSCALE);

	~~//Populate the GPU Images~~
	~~gimg1->upload(img1->imageData,img1->widthStep);~~
	~~gimg2->upload(img2->imageData,img2->widthStep);~~

	Cuvi32f* flowX = new Cuvi32f[width * height];		Cuvi32f* flowX = new Cuvi32f[gimg1.width() * gimg1.height()];
	Cuvi32f* flowY = new Cuvi32f[width * height];		Cuvi32f* flowY = new Cuvi32f[gimg1.width() * gimg1.height()];

	//tracking criteria		//tracking criteria
	CuviTrackingCriteria tc ~~= cuviTrackingCriteria(2,cuviSize(12,12))~~;		CuviTrackingCriteria tc;


	//Compute optical flow between first frame and second frame		//Compute optical flow between first frame and second frame

Ghazanfar: /* Example */

2012-05-14T07:19:03Z

Example

← Older revision		Revision as of 07:19, 14 May 2012
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	gimg2->upload(img2->imageData,img2->widthStep);		gimg2->upload(img2->imageData,img2->widthStep);

	Cuvi32f* flowX = new ~~float~~[width * height];		Cuvi32f* flowX = new Cuvi32f[width * height];
	Cuvi32f* flowY = new ~~float~~[width * height];		Cuvi32f* flowY = new Cuvi32f[width * height];

	//tracking criteria		//tracking criteria

Ghazanfar: Created page with "NOTOC Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method. ===Function=== {| |style="font-size:150%;"|
2012-05-14T07:17:08Z

Created page with "NOTOC Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method. ===Function=== {| |style="font-size:150%;"| <syntaxhighlight lang="..."

New page
NOTOC
Computes Dense Optical Flow between each pixel of two images using pyramidal Lucas-Kanade method.
===Function===
{|
|style="font-size:150%;"|
<syntaxhighlight lang="cpp">
CuviStatus opticalFlowPyrLKDense(CuviImage* previousImage,
CuviImage* nextImage,
Cuvi32f* flowX
Cuvi32f* flowY,
CuviTrackingCriteria criteria,
CuviStream* stream = NULL);
</syntaxhighlight>
|}

===Parameters===
{|class="wikitable"
|-
! Name
! Type
! Description
|-
| previousImage
| CuviImage*
| The first image whose features are to be tracked
|-
| nextImage
| CuviImage*
| Second image, in which to look for features of first image
|-
| flowX
| Cuvi32f*
| Horizontal optical flow
|-
| flowY
| Cuvi32f*
| Vertical optical flow
|-
| criteria
| CuviFeaturesCriteria
| A structure containing various parameters that affect optical flow calculation
|-
| stream
| CuviStream*
| GPU stream ID for execution

|}

===Image Type Support===

{| class="wikitable"
|-
! Input
! Output
|-
| 2x 8uC1
| 2x Cuvi32f*
|}

===Samples===
{|
|-
|[[File:OF_frame1.png|frame|First Input Image (8-bit)]]
|[[File:OF_frame2.png|frame|Second Input Image (8-bit)]]
|-
|[[File:OF_flowMag.png|frame| Optical Flow Magnitude]]
|[[File:OF_sparseFlow.png|frame| Flow of selected points]]
|}

===Example===
{|
|style="font-size:150%;"|
<syntaxhighlight lang="cpp">

//Image size
CuviSize size = cuviSize(width,height);

//Create two 8-bit Grays-scale CuviImage objects
CuviImage* gimg1 = new CuviImage(size,8,1);
CuviImage* gimg2 = new CuviImage(size,8,1);

//Populate the GPU Images
gimg1->upload(img1->imageData,img1->widthStep);
gimg2->upload(img2->imageData,img2->widthStep);

Cuvi32f* flowX = new float[width * height];
Cuvi32f* flowY = new float[width * height];

//tracking criteria
CuviTrackingCriteria tc = cuviTrackingCriteria(2,cuviSize(12,12));

//Compute optical flow between first frame and second frame
cuvi::computerVision::opticalFlowPyrLKDense(gimg1,gimg2,flowX,flowY,tc);

</syntaxhighlight>
|}