face detector interface. More...

#include <IDetector.h>

Inheritance diagram for fsdk::IDetector:

Public Types
using	FaceBatchResult = ResultValue< FSDKError, IFaceDetectionBatchPtr >
	Common aliases for IDetector asynchronous interface.

using	FaceBatchFuture = vlc::future< IFaceDetectionBatchPtr >

Public Member Functions
virtual ResultValue< FSDKError, Ref< IFaceDetectionBatch > >	detect (Span< const Image > images, Span< const Rect > ROIs, uint32_t perImageNum, DetectionType type=DT_BBOX) noexcept=0
	Detect faces and their parameters on multiple images. More...

virtual ResultValue< FSDKError, Face >	detectOne (const Image &image, const Rect &rect, DetectionType type=DT_BBOX) noexcept=0
	Light function to get just one best detection from single input image. More...

virtual ResultValue< FSDKError, Ref< IFaceDetectionBatch > >	redetect (Span< const Image > images, Ref< IFaceDetectionBatch > detectionBatch, DetectionType type=DT_BBOX) noexcept=0
	Batched redetect faces on multiple images. based on the detection results for the previous frames. More...

virtual ResultValue< FSDKError, Ref< IFaceDetectionBatch > >	redetect (Span< const Image > images, Span< Span< const Detection >> detections, DetectionType type=DT_BBOX) noexcept=0
	Batched redetect faces on multiple images. based on the detection results for the previous frames. More...

virtual ResultValue< FSDKError, Face >	redetectOne (const Image &image, const Detection &detection, DetectionType type=DT_BBOX) noexcept=0
	Redetect face. More...

virtual void	setDetectionComparer (DetectionComparerType comparerType) noexcept=0
	Set detection comparer from SDK defined list. More...

virtual void	setCustomDetectionComparer (const IDetectionComparer *comparer) noexcept=0
	Set custom detection comparer object. More...

virtual Result< FSDKError >	validate (Span< const Image > images, Span< Span< const Detection >> detections, Span< Span< Result< FSDKError >>> errors) const noexcept=0
	Validate input of multiple frames in a single function call. More...

virtual Result< FSDKError >	validate (Span< const Image > images, Span< const Rect > rects, uint32_t detectionPerImageNum, Span< Result< FSDKError >> outErrors) const noexcept=0
	Validate input of multiple frames in a single function call. More...

virtual Result< FSDKError >	validate (Span< const Image > images, Ref< IFaceDetectionBatch > detectionBatch, Span< Result< FSDKError >> outErrors) const noexcept=0
	Validate input of multiple frames in a single function call. More...

virtual FaceBatchFuture	detectAsync (Span< const Image > images, Span< const Rect > rectangles, uint32_t perImageNum, DetectionType type=DT_BBOX) const =0
	Asynchronously detect faces and their parameters on multiple images. More...

virtual FaceBatchFuture	redetectAsync (Span< const Image > images, IFaceDetectionBatchPtr detectionBatch, DetectionType type=DT_BBOX) const =0
	Asynchronously redetect faces on multiple images. based on the detection results for the previous frames. More...

Public Member Functions inherited from fsdk::IRefCounted
virtual int32_t	retain () noexcept=0
	Increase strong reference count. More...

virtual int32_t	retainLocked () noexcept=0
	Increase strong reference count thread safely. More...

virtual int32_t	release () noexcept=0
	Decrease strong reference count. More...

virtual int32_t	getRefCount () const noexcept=0
	Get actual strong reference count. More...

virtual int32_t	retainWeak () noexcept=0
	Increase weak reference count. More...

virtual int32_t	releaseWeak () noexcept=0
	Decrease weak reference count. More...

virtual int32_t	getWeakRefCount () const noexcept=0
	Get actual weak reference count. More...

Detailed Description

face detector interface.

Member Function Documentation

virtual ResultValue<FSDKError, Ref<IFaceDetectionBatch> > fsdk::IDetector::detect	(	Span< const Image >	images,
		Span< const Rect >	ROIs,
		uint32_t	perImageNum,
		DetectionType	type = `DT_BBOX`
	)

pure virtualnoexcept

Detect faces and their parameters on multiple images.

Parameters

[in]	images	span of source images.
[in]	rectangles	input rectangles of interest (ROI) span.
[in]	perImageNum	the max number of detections per input image.
[in]	type	type of the detection.

Returns: ResultValue with error code and IFaceDetectionBatch object.

See Also: Ref, Span, Image, Rect, DetectionType, IFaceDetectionBatch, ResultValue and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.

virtual FaceBatchFuture fsdk::IDetector::detectAsync	(	Span< const Image >	images,
		Span< const Rect >	rectangles,
		uint32_t	perImageNum,
		DetectionType	type = `DT_BBOX`
	)		const

pure virtual

Asynchronously detect faces and their parameters on multiple images.

Parameters

[in]	images	span of source images.
[in]	rectangles	input rectangles of interest (ROI) span.
[in]	perImageNum	the max number of detections per input image.
[in]	type	type of the detection.

Returns: Future ResultValue with error code and IFaceDetectionBatch object.

See Also: Ref, Span, Image, Rect, DetectionType, IFaceDetectionBatch, ResultValue, FSDKError and vlc::future for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.; this method is experimental and interface may be changed in the future.; this method is not marked as noexcept and may throw an exception.

virtual ResultValue<FSDKError, Face> fsdk::IDetector::detectOne	(	const Image &	image,
		const Rect &	rect,
		DetectionType	type = `DT_BBOX`
	)

pure virtualnoexcept

Light function to get just one best detection from single input image.

Parameters

[in]	image	source image.
[in]	rect	rectangle of interest in the image.
[in]	type	type of detection: BBox, 5landmarks or 68landmarks.

Returns: ResultValue with error code and a Face object (detection bbox, landmarks, etc).

See Also: Face, Image, Rect, DetectionType, ResultValue and FSDKError for details.

Note: image format must be R8G8B8,

See Also: Format.

virtual ResultValue<FSDKError, Ref<IFaceDetectionBatch> > fsdk::IDetector::redetect	(	Span< const Image >	images,
		Ref< IFaceDetectionBatch >	detectionBatch,
		DetectionType	type = `DT_BBOX`
	)

pure virtualnoexcept

Batched redetect faces on multiple images. based on the detection results for the previous frames.

Parameters

[in]	images	span of source images.
[in]	detectionBatch	result of detection on the previous frames - Ref with an IFaceDetectionBatch object.
[in]	type	type of redetection.

Returns: ResultValue with error code and IFaceDetectionBatch object.

See Also: Ref, Span, Image, DetectionType, IFaceDetectionBatch, ResultValue and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; images span should be the same size with detectionBatch size.; In case if some face from the input detectionBatch was not found the corresponding detection in the output IFaceDetectionBatch object will be invalid.

virtual ResultValue<FSDKError, Ref<IFaceDetectionBatch> > fsdk::IDetector::redetect	(	Span< const Image >	images,
		Span< Span< const Detection >>	detections,
		DetectionType	type = `DT_BBOX`
	)

pure virtualnoexcept

Batched redetect faces on multiple images. based on the detection results for the previous frames.

Parameters

[in]	images	span of source images.
[in]	detections	span of detection coordinates in corresponding source images space from the previous frames. It is a two dimensional Span. There is one Span of the rectangles for each image.
[in]	type	type of redetection.

Returns: ResultValue with error code and IFaceDetectionBatch object.

See Also: Ref, Span, Image, DetectionType, Detection, IFaceDetectionBatch, ResultValue and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.; If for some of the input detections the redetected face will not be found the appropriate detection in the IFaceDetectionBatch object will be invalid.

virtual FaceBatchFuture fsdk::IDetector::redetectAsync	(	Span< const Image >	images,
		IFaceDetectionBatchPtr	detectionBatch,
		DetectionType	type = `DT_BBOX`
	)		const

pure virtual

Asynchronously redetect faces on multiple images. based on the detection results for the previous frames.

Parameters

[in]	images	span of source images.
[in]	detectionBatch	result of detection on the previous frames - Ref with an IFaceDetectionBatch object.
[in]	type	type of redetection.

Returns: Future ResultValue with error code and IFaceDetectionBatch object.

See Also: Ref, Span, Image, DetectionType, IFaceDetectionBatch, ResultValue, FSDKError and vlc::future for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; images span should be the same size with detectionBatch size.; In case if some face from the input detectionBatch was not found the corresponding detection in the output IFaceDetectionBatch object will be invalid.; this method is experimental and interface may be changed in the future.; this method is not marked as noexcept and may throw an exception.

virtual ResultValue<FSDKError, Face> fsdk::IDetector::redetectOne	(	const Image &	image,
		const Detection &	detection,
		DetectionType	type = `DT_BBOX`
	)

pure virtualnoexcept

Redetect face.

Parameters

[in]	image	source image. Format must be R8G8B8.
[in]	detection	detection coordinates in image space from the previous frame to make redetect.
[in]	type	type of detection: BBox, 5landmarks or 68landmarks.

Returns: ResultValue with error code and Face.

See Also: Face, Image, DetectionType, Detection, ResultValue and FSDKError for details.

Note: image format must be R8G8B8,

See Also: Format.

virtual void fsdk::IDetector::setCustomDetectionComparer ( const IDetectionComparer * comparer )

pure virtualnoexcept

Set custom detection comparer object.

Parameters

[in] comparer pointer to user defined comparer object.

See Also: IDetectionComparer for details.

Note: Client code still owns comparer object

virtual void fsdk::IDetector::setDetectionComparer ( DetectionComparerType comparerType )

pure virtualnoexcept

Set detection comparer from SDK defined list.

Parameters

[in] comparerType type of the comparer for detections.

See Also: DetectionComparerType for details.

virtual Result<FSDKError> fsdk::IDetector::validate	(	Span< const Image >	images,
		Span< Span< const Detection >>	detections,
		Span< Span< Result< FSDKError >>>	errors
	)		const

pure virtualnoexcept

Validate input of multiple frames in a single function call.

Parameters

[in]	images	span of source images.
[in]	detections	span of detection coordinates in corresponding source images space from the previous frames. It is a two dimensional Span. There is one Span of Detections for each image.
[out]	errors	output span of errors for each image. It is a two dimensional Span. There is one Span of the errors for each image.

Returns: Result with error code.

See Also: Span, Image, Detection, Result and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.

virtual Result<FSDKError> fsdk::IDetector::validate	(	Span< const Image >	images,
		Span< const Rect >	rects,
		uint32_t	detectionPerImageNum,
		Span< Result< FSDKError >>	outErrors
	)		const

pure virtualnoexcept

Validate input of multiple frames in a single function call.

Parameters

[in]	images	span of source images.
[in]	rects	span of rectangle coordinates of corresponding source images.
[in]	detectionPerImageNum	max number of detections per input image.
[out]	errors	output span of errors for each image.

Returns: Result with error code.

See Also: Span, Image, Rect, Result and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.

virtual Result<FSDKError> fsdk::IDetector::validate	(	Span< const Image >	images,
		Ref< IFaceDetectionBatch >	detectionBatch,
		Span< Result< FSDKError >>	outErrors
	)		const

pure virtualnoexcept

Validate input of multiple frames in a single function call.

Parameters

[in]	images	span of source images.
[in]	detectionBatch	result of detection on the previous frames - Ref with an IFaceDetectionBatch object.
[out]	errors	output span of errors for each image.

Returns: Result with error code.

See Also: Ref, Span, Image, IFaceDetectionBatch, Result and FSDKError for details.

Note: images format must be R8G8B8,

See Also: Format.

Note: all spans should be based on user owned continuous collections.; all spans should be equal size.

The documentation for this struct was generated from the following file:

include/fsdk/IDetector.h

Public Types

Public Member Functions

Detailed Description

Member Function Documentation