org.bytedeco.opencv.opencv_dnn

Class ClassificationModel

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_dnn.Net

org.bytedeco.opencv.opencv_dnn.Model

org.bytedeco.opencv.opencv_dnn.ClassificationModel

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::dnn")
 @Properties(inherit=opencv_dnn.class)
public class ClassificationModel
extends Model

\brief This class represents high-level API for classification models. ClassificationModel allows to set params for preprocessing input image. ClassificationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return top-1 prediction.

Nested Class Summary

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
ClassificationModel(BytePointer model)
ClassificationModel(BytePointer model, BytePointer config) \brief Create classification model from network represented in one of the supported formats.
ClassificationModel(Net network) \brief Create model from deep learning network.
ClassificationModel(Pointer p) Pointer cast constructor.
ClassificationModel(String model)
ClassificationModel(String model, String config)

Method Summary

Modifier and Type	Method and Description
IntFloatPair	classify(GpuMat frame)
void	classify(GpuMat frame, int[] classId, float[] conf)
void	classify(GpuMat frame, IntBuffer classId, FloatBuffer conf)
void	classify(GpuMat frame, IntPointer classId, FloatPointer conf)
IntFloatPair	classify(Mat frame) \brief Given the \p input frame, create input blob, run net and return top-1 prediction.
void	classify(Mat frame, int[] classId, float[] conf)
void	classify(Mat frame, IntBuffer classId, FloatBuffer conf)
void	classify(Mat frame, IntPointer classId, FloatPointer conf) \overload
IntFloatPair	classify(UMat frame)
void	classify(UMat frame, int[] classId, float[] conf)
void	classify(UMat frame, IntBuffer classId, FloatBuffer conf)
void	classify(UMat frame, IntPointer classId, FloatPointer conf)

Methods inherited from class org.bytedeco.opencv.opencv_dnn.Model

position, predict, predict, predict, predict, predict, predict, predict, predict, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB

Methods inherited from class org.bytedeco.opencv.opencv_dnn.Net

addLayer, addLayer, addLayerToPrev, addLayerToPrev, connect, connect, connect, dump, dumpToFile, dumpToFile, empty, enableFusion, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forward, forwardAndRetrieve, forwardAsync, forwardAsync, forwardAsync, getFLOPS, getFLOPS, getFLOPS, getFLOPS, getLayer, getLayerId, getLayerId, getLayerNames, getLayersCount, getLayersCount, getLayerShapes, getLayerShapes, getLayersShapes, getLayersShapes, getLayersShapes, getLayersShapes, getLayersShapes, getLayersShapes, getLayerTypes, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getParam, getParam, getPerfProfile, getPerfProfile, getPerfProfile, getUnconnectedOutLayers, getUnconnectedOutLayersNames, readFromModelOptimizer, readFromModelOptimizer, readFromModelOptimizer, readFromModelOptimizer, readFromModelOptimizer, readFromModelOptimizer, readFromModelOptimizer, setHalideScheduler, setHalideScheduler, setInput, setInput, setInput, setInput, setInput, setInput, setInput, setInput, setInput, setInputShape, setInputShape, setInputsNames, setParam, setPreferableBackend, setPreferableTarget

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

ClassificationModel

public ClassificationModel(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

ClassificationModel

public ClassificationModel(@opencv_core.Str
                           BytePointer model,
                           @opencv_core.Str
                           BytePointer config)

\brief Create classification model from network represented in one of the supported formats. An order of \p model and \p config arguments does not matter.

Parameters:

model - [in] Binary file contains trained weights.

config - [in] Text file contains network configuration.

ClassificationModel

public ClassificationModel(@opencv_core.Str
                           BytePointer model)

ClassificationModel

public ClassificationModel(@opencv_core.Str
                           String model,
                           @opencv_core.Str
                           String config)

ClassificationModel

public ClassificationModel(@opencv_core.Str
                           String model)

ClassificationModel

public ClassificationModel(@Const @ByRef
                           Net network)

\brief Create model from deep learning network.

Parameters:

network - [in] Net object.

Method Detail

classify

@ByVal
public IntFloatPair classify(@ByVal
                                    Mat frame)

\brief Given the \p input frame, create input blob, run net and return top-1 prediction.

Parameters:

frame - [in] The input image.

classify

@ByVal
public IntFloatPair classify(@ByVal
                                    UMat frame)

classify

@ByVal
public IntFloatPair classify(@ByVal
                                    GpuMat frame)

classify

public void classify(@ByVal
                     Mat frame,
                     @ByRef
                     IntPointer classId,
                     @ByRef
                     FloatPointer conf)

\overload

classify

public void classify(@ByVal
                     Mat frame,
                     @ByRef
                     IntBuffer classId,
                     @ByRef
                     FloatBuffer conf)

classify

public void classify(@ByVal
                     Mat frame,
                     @ByRef
                     int[] classId,
                     @ByRef
                     float[] conf)

classify

public void classify(@ByVal
                     UMat frame,
                     @ByRef
                     IntPointer classId,
                     @ByRef
                     FloatPointer conf)

classify

public void classify(@ByVal
                     UMat frame,
                     @ByRef
                     IntBuffer classId,
                     @ByRef
                     FloatBuffer conf)

classify

public void classify(@ByVal
                     UMat frame,
                     @ByRef
                     int[] classId,
                     @ByRef
                     float[] conf)

classify

public void classify(@ByVal
                     GpuMat frame,
                     @ByRef
                     IntPointer classId,
                     @ByRef
                     FloatPointer conf)

classify

public void classify(@ByVal
                     GpuMat frame,
                     @ByRef
                     IntBuffer classId,
                     @ByRef
                     FloatBuffer conf)

classify

public void classify(@ByVal
                     GpuMat frame,
                     @ByRef
                     int[] classId,
                     @ByRef
                     float[] conf)