org.bytedeco.javacpp

Class opencv_objdetect.Detector

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_objdetect.Detector

Enclosing class:

opencv_objdetect

public static class opencv_objdetect.Detector
extends Pointer

\brief Object detector using the LINE template matching algorithm with any set of modalities.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_objdetect.Detector() \brief Empty constructor, initialize with read().
opencv_objdetect.Detector(int size)
opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities, int[] T_pyramid)
opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities, IntBuffer T_pyramid)
opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities, IntPointer T_pyramid) \brief Constructor.
opencv_objdetect.Detector(Pointer p)

Method Summary

Methods

Modifier and Type	Method and Description
int	addSyntheticTemplate(opencv_objdetect.Template templates, BytePointer class_id) \brief Add a new object template computed by external means.
int	addSyntheticTemplate(opencv_objdetect.Template templates, String class_id)
int	addTemplate(opencv_core.MatVector sources, BytePointer class_id, opencv_core.Mat object_mask)
int	addTemplate(opencv_core.MatVector sources, BytePointer class_id, opencv_core.Mat object_mask, opencv_core.Rect bounding_box) \brief Add new object template.
int	addTemplate(opencv_core.MatVector sources, String class_id, opencv_core.Mat object_mask)
int	addTemplate(opencv_core.MatVector sources, String class_id, opencv_core.Mat object_mask, opencv_core.Rect bounding_box)
opencv_core.StringVector	classIds()
opencv_objdetect.ModalityVector	getModalities() \brief Get the modalities used by this detector.
int	getT(int pyramid_level) \brief Get sampling step T at pyramid_level.
opencv_objdetect.Template	getTemplates(BytePointer class_id, int template_id) \brief Get the template pyramid identified by template_id.
opencv_objdetect.Template	getTemplates(String class_id, int template_id)
void	match(opencv_core.MatVector sources, float threshold, opencv_objdetect.Match matches)
void	match(opencv_core.MatVector sources, float threshold, opencv_objdetect.Match matches, opencv_core.StringVector class_ids, opencv_core.MatVector quantized_images, opencv_core.MatVector masks) \brief Detect objects by template matching.
int	numClasses()
int	numTemplates()
int	numTemplates(BytePointer class_id)
int	numTemplates(String class_id)
opencv_objdetect.Detector	position(int position)
int	pyramidLevels() \brief Get number of pyramid levels used by this detector.
void	read(opencv_core.FileNode fn)
BytePointer	readClass(opencv_core.FileNode fn)
BytePointer	readClass(opencv_core.FileNode fn, BytePointer class_id_override)
String	readClass(opencv_core.FileNode fn, String class_id_override)
void	readClasses(opencv_core.StringVector class_ids)
void	readClasses(opencv_core.StringVector class_ids, BytePointer format)
void	readClasses(opencv_core.StringVector class_ids, String format)
void	write(opencv_core.FileStorage fs)
void	writeClass(BytePointer class_id, opencv_core.FileStorage fs)
void	writeClass(String class_id, opencv_core.FileStorage fs)
void	writeClasses()
void	writeClasses(BytePointer format)
void	writeClasses(String format)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

opencv_objdetect.Detector

public opencv_objdetect.Detector(Pointer p)

opencv_objdetect.Detector

public opencv_objdetect.Detector(int size)

opencv_objdetect.Detector

public opencv_objdetect.Detector()

\brief Empty constructor, initialize with read().

opencv_objdetect.Detector

public opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities,
                         IntPointer T_pyramid)

\brief Constructor. \param modalities Modalities to use (color gradients, depth normals, ...). \param T_pyramid Value of the sampling step T at each pyramid level. The number of pyramid levels is T_pyramid.size().

opencv_objdetect.Detector

public opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities,
                         IntBuffer T_pyramid)

opencv_objdetect.Detector

public opencv_objdetect.Detector(opencv_objdetect.ModalityVector modalities,
                         int[] T_pyramid)

Method Detail

position

public opencv_objdetect.Detector position(int position)

Overrides:

position in class Pointer

match

public void match(opencv_core.MatVector sources,
         float threshold,
         opencv_objdetect.Match matches,
         opencv_core.StringVector class_ids,
         opencv_core.MatVector quantized_images,
         opencv_core.MatVector masks)

\brief Detect objects by template matching. Matches globally at the lowest pyramid level, then refines locally stepping up the pyramid. \param sources Source images, one for each modality. \param threshold Similarity threshold, a percentage between 0 and 100. \param[out] matches Template matches, sorted by similarity score. \param class_ids If non-empty, only search for the desired object classes. \param[out] quantized_images Optionally return vector of quantized images. \param masks The masks for consideration during matching. The masks should be CV_8UC1 where 255 represents a valid pixel. If non-empty, the vector must be the same size as sources. Each element must be empty or the same size as its corresponding source.

match

public void match(opencv_core.MatVector sources,
         float threshold,
         opencv_objdetect.Match matches)

addTemplate

public int addTemplate(opencv_core.MatVector sources,
              BytePointer class_id,
              opencv_core.Mat object_mask,
              opencv_core.Rect bounding_box)

\brief Add new object template. \param sources Source images, one for each modality. \param class_id Object class ID. \param object_mask Mask separating object from background. \param[out] bounding_box Optionally return bounding box of the extracted features. \return Template ID, or -1 if failed to extract a valid template.

addTemplate

public int addTemplate(opencv_core.MatVector sources,
              BytePointer class_id,
              opencv_core.Mat object_mask)

addTemplate

public int addTemplate(opencv_core.MatVector sources,
              String class_id,
              opencv_core.Mat object_mask,
              opencv_core.Rect bounding_box)

addTemplate

public int addTemplate(opencv_core.MatVector sources,
              String class_id,
              opencv_core.Mat object_mask)

addSyntheticTemplate

public int addSyntheticTemplate(opencv_objdetect.Template templates,
                       BytePointer class_id)

\brief Add a new object template computed by external means.

addSyntheticTemplate

public int addSyntheticTemplate(opencv_objdetect.Template templates,
                       String class_id)

getModalities

public opencv_objdetect.ModalityVector getModalities()

\brief Get the modalities used by this detector. You are not permitted to add/remove modalities, but you may dynamic_cast them to tweak parameters.

getT

public int getT(int pyramid_level)

\brief Get sampling step T at pyramid_level.

pyramidLevels

public int pyramidLevels()

\brief Get number of pyramid levels used by this detector.

getTemplates

public opencv_objdetect.Template getTemplates(BytePointer class_id,
                                     int template_id)

\brief Get the template pyramid identified by template_id. For example, with 2 modalities (Gradient, Normal) and two pyramid levels (L0, L1), the order is (GradientL0, NormalL0, GradientL1, NormalL1).

getTemplates

public opencv_objdetect.Template getTemplates(String class_id,
                                     int template_id)

numTemplates

public int numTemplates()

numTemplates

public int numTemplates(BytePointer class_id)

numTemplates

public int numTemplates(String class_id)

numClasses

public int numClasses()

classIds

public opencv_core.StringVector classIds()

read

public void read(opencv_core.FileNode fn)

write

public void write(opencv_core.FileStorage fs)

readClass

public BytePointer readClass(opencv_core.FileNode fn,
                    BytePointer class_id_override)

readClass

public BytePointer readClass(opencv_core.FileNode fn)

readClass

public String readClass(opencv_core.FileNode fn,
               String class_id_override)

writeClass

public void writeClass(BytePointer class_id,
              opencv_core.FileStorage fs)

writeClass

public void writeClass(String class_id,
              opencv_core.FileStorage fs)

readClasses

public void readClasses(opencv_core.StringVector class_ids,
               BytePointer format)

readClasses

public void readClasses(opencv_core.StringVector class_ids)

readClasses

public void readClasses(opencv_core.StringVector class_ids,
               String format)

writeClasses

public void writeClasses(BytePointer format)

writeClasses

public void writeClasses()

writeClasses

public void writeClasses(String format)