AiliaModel Class Reference

Inheritance diagram for AiliaModel:

Collaboration diagram for AiliaModel:

Public Member Functions
bool	Environment (int type)
	Selects the specified type of calculation environment. More...
string	EnvironmentName ()
	Displays the name of the selected environment. More...
int	GetEnvironmentCount ()
	Get the number of available computing environments (CPU, GPU). More...
Ailia.AILIAEnvironment	GetEnvironment (int idx)
	Obtains the computing environment for the specified index. More...
bool	SelectEnvironment (int idx)
	Select the calculation environment. More...
Ailia.AILIAEnvironment	GetSelectedEnvironment ()
	Retrieves the selected computing environment. More...
void	SetMemoryMode (uint set_memory_mode)
	Sets the memory mode. More...
void	DisableLayerFusion ()
	Disables speedup due to layer fusion. More...
virtual bool	OpenFile (string prototxt_path, string model_path)
	Create a network object from a model file. More...
virtual bool	OpenMem (byte[] prototxt_buf, byte[] model_buf)
	Creates network objects from memory. More...
virtual bool	OpenEx (Ailia.ailiaFileCallback callback, IntPtr arg1, IntPtr arg2)
	Creates a network object from a file callback. More...
bool	Predict (float[] output_data, float[] input_data)
	Perform inference and obtain inference results. More...
Ailia.AILIAShape	GetInputShape ()
uint []	GetInputShapeND ()
	Obtains the shape of the input data at the time of inference. More...
bool	SetInputShape (Ailia.AILIAShape shape)
	Sets the shape of the input data during inference. More...
bool	SetInputShapeND (uint[] shape, int dim)
	Change the shape of the input data during inference. More...
Ailia.AILIAShape	GetOutputShape ()
	Obtains the shape of the output data during inference. More...
uint []	GetOutputShapeND ()
	Obtains the shape of the output data during inference. More...
Ailia.AILIAShape	GetBlobShape (string layer_name)
	Obtains the shape (layer format) of the internal data (Blob) at the time of inference. (Obsolete) More...
int	FindBlobIndexByName (string name)
	Look up and retrieve the index of the internal data (Blob) at the time of inference by name. More...
Ailia.AILIAShape	GetBlobShape (uint idx)
	Obtains the shape (layer format) of the internal data (Blob) at the time of inference. More...
Ailia.AILIAShape	GetBlobShape (int idx)
bool	GetBlobData (float[] output_data, uint idx)
	Obtains internal data (Blob) at the time of inference. More...
bool	GetBlobData (float[] output_data, int idx)
bool	SetInputBlobData (float[] input_data, uint idx)
	Set input data to the specified Blob. More...
bool	SetInputBlobData (float[] input_data, int idx)
bool	SetInputBlobShape (Ailia.AILIAShape shape, uint idx)
	Sets the format of the specified input data (Blob). (4 dimensions or less) More...
bool	SetInputBlobShape (Ailia.AILIAShape shape, int idx)
bool	SetInputBlobShapeND (uint[] shape, uint dim, uint idx)
	Sets the format of the input data (Blob). (5D or more) More...
bool	SetInputBlobShapeND (uint[] shape, int dim, int idx)
uint []	GetInputBlobList ()
	Obtains a list of the indices of the input data (Blob). More...
uint []	GetOutputBlobList ()
	Obtains a list of indices of the output data (Blob). More...
bool	CopyBlobData (uint dst_blob_idx, uint src_blob_idx, AiliaModel src_model=null)
	Perform copies between blobs that specified. More...
bool	Update ()
	Inference is performed with pre-populated data. More...
virtual void	Close ()
	Destroys network objects. More...
virtual void	Dispose ()
	Release resources. More...
string	GetStatusString (int status)
	Returns a string corresponding to the status code. More...
string	GetErrorDetail ()
	Returns error details. More...
bool	SetProfileMode (uint profile_mode)
	Enable profile mode. More...
string	GetSummary ()
	Obtain network information and profile results. More...

Protected Member Functions
virtual void	Dispose (bool disposing)

Protected Attributes
IntPtr	ailia = IntPtr.Zero
bool	logging = true

Properties
int	Status [get, protected set]
	Status code Get the library status code. More...

Member Function Documentation

Close()

virtual void AiliaModel.Close ( )

inlinevirtual

Destroys network objects.

Destroys and initializes the network object.

Reimplemented in AiliaPoseEstimatorModel, AiliaDetectorModel, AiliaFeatureExtractorModel, and AiliaClassifierModel.

    {
        if (ailia != IntPtr.Zero)
        {
            Ailia.ailiaDestroy(ailia);
            ailia = IntPtr.Zero;
        }
    }

CopyBlobData()

bool AiliaModel.CopyBlobData ( uint  dst_blob_idx, uint  src_blob_idx, AiliaModel  src_model = null  )

inline

Perform copies between blobs that specified.

Parameters

dst_blob_idx	The index of destination blob
src_blob_idx	The index of source blob
src_mdoel	The model object that contains source blob. If specify null, perform copy blob inner this model object.

Returns

Returns true on success, false on failure.

                                                                                                {
        IntPtr src_ailia = ailia;
        if (src_model != null) src_ailia = src_model.ailia;
        if (ailia == IntPtr.Zero || src_ailia == IntPtr.Zero) return false;

        int status = Status = Ailia.ailiaCopyBlobData(ailia, dst_blob_idx, src_ailia, src_blob_idx);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaUpdate failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

DisableLayerFusion()

void AiliaModel.DisableLayerFusion ( )

inline

Disables speedup due to layer fusion.

Disables speedup due to layer fusion. Default is enabled.

    {
        disalbe_layer_fusion = true;
    }

Dispose() [1/2]

virtual void AiliaModel.Dispose ( )

inlinevirtual

Release resources.

Reimplemented in AiliaPoseEstimatorModel, AiliaDetectorModel, AiliaFeatureExtractorModel, and AiliaClassifierModel.

    {
        Dispose(true);
    }

Dispose() [2/2]

virtual void AiliaModel.Dispose ( bool  disposing )

inlineprotectedvirtual

Reimplemented in AiliaPoseEstimatorModel, AiliaDetectorModel, AiliaFeatureExtractorModel, and AiliaClassifierModel.

    {
        if (disposing){
            // release managed resource
        }
        Close(); // release unmanaged resource
    }

Environment()

bool AiliaModel.Environment ( int  type )

inline

Selects the specified type of calculation environment.

環境選択（簡易）

Parameters

type	Type of environment ( AILIA_ENVIRONMENT_TYPE_CPU or BLAS or GPU)

Returns

Returns true on success, false on failure.

Simply select the calculation environment from the environment type. To explicitly specify the computing environment, use GetEnvironmentCount(), GetEnvironment(), and SelectEnvironment().

    {
        int count = GetEnvironmentCount();
        if (count == -1)
        {
            return false;
        }

        for (int i = 0; i < count; i++)
        {
            Ailia.AILIAEnvironment env = GetEnvironment(i);
            if (env == null)
            {
                return false;
            }

            if (env.type == type)
            {
                if (!SelectEnvironment(i))
                {
                    return false;
                }
                if (env.backend == Ailia.AILIA_ENVIRONMENT_BACKEND_CUDA || env.backend == Ailia.AILIA_ENVIRONMENT_BACKEND_VULKAN)
                {
                    return true;    //優先
                }
            }
        }
        return true;
    }

EnvironmentName()

string AiliaModel.EnvironmentName ( )

inline

Displays the name of the selected environment.

Returns

Selected Environment Name

Returns the name of the selected environment.

    {
        return env_name;
    }

FindBlobIndexByName()

int AiliaModel.FindBlobIndexByName ( string  name )

inline

Look up and retrieve the index of the internal data (Blob) at the time of inference by name.

Parameters

layer_name

Blob name to search

Returns

Returns the index of the Blob specified by name on success, -1 otherwise.

Ailia.ailiaFindBlobIndexByName() searches for and retrieves the index of the internal data (Blob) at the time of inference by name.

    {
        uint idx = 0;
        int status = Status = Ailia.ailiaFindBlobIndexByName(ailia, ref idx, name);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("FindBlobIndexByName failed " + status + " (" + GetStatusString(status) + ")");
            }
            return -1;
        }
        return (int)idx;
    }

GetBlobData() [1/2]

bool AiliaModel.GetBlobData ( float []  output_data, uint  idx  )

inline

Obtains internal data (Blob) at the time of inference.

Parameters

output_data	Where to export inference results
idx	Index of Blob (0 to ailiaGetBlobCount() -1)

Returns

Returns true on success, false on failure.

Ailia.ailiaGetBlobData() to get the internal data (Blob) at the time of inference. If the inference has never been performed, it fails.

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        GCHandle output_buf_handle = GCHandle.Alloc(output_data, GCHandleType.Pinned);
        IntPtr output_buf_ptr = output_buf_handle.AddrOfPinnedObject();
        int status = Status = Ailia.ailiaGetBlobData(ailia, output_buf_ptr, (uint)(output_data.Length * 4), idx);
        output_buf_handle.Free();

        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetBlobData failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

GetBlobData() [2/2]

public bool AiliaModel.GetBlobData ( float []  output_data, int  idx  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    {
        if (idx < 0)
        {
            return false;
        }
        return GetBlobData(output_data, (uint)idx);
    }

GetBlobShape() [1/3]

Ailia.AILIAShape AiliaModel.GetBlobShape ( string  layer_name )

inline

Obtains the shape (layer format) of the internal data (Blob) at the time of inference. (Obsolete)

Parameters

layer_name

Blob name to search

Returns

If successful, return the shape of the Blob specified by name, otherwise null.

Ailia.ailiaFindBlobIndexByName() to get the index of a Blob from the Blob name. Ailia.ailiaGetBlobShape() obtains the shape (layer format) of the internal data (Blob) at the time of inference and stores it in shape.

    {
        if (ailia == IntPtr.Zero)
        {
            return null;
        }
        Ailia.AILIAShape shape = new Ailia.AILIAShape();
        uint id = 0;
        int status = Status = Ailia.ailiaFindBlobIndexByName(ailia, ref id, layer_name);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaFindBlobIndexByName failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        status = Status = Ailia.ailiaGetBlobShape(ailia, shape, id, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetBlobShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetBlobShape() [2/3]

Ailia.AILIAShape AiliaModel.GetBlobShape ( uint  idx )

inline

Obtains the shape (layer format) of the internal data (Blob) at the time of inference.

Parameters

idx	Index of Blob

Returns

If successful, return the shape of the Blob specified by name, otherwise null.

Ailia.ailiaGetBlobShape() obtains the shape (layer format) of the internal data (Blob) at the time of inference and stores it in shape.

    {
        if (ailia == IntPtr.Zero)
        {
            return null;
        }

        Ailia.AILIAShape shape = new Ailia.AILIAShape();
        int status = Status = Ailia.ailiaGetBlobShape(ailia, shape, idx, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetBlobShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetBlobShape() [3/3]

public Ailia AILIAShape AiliaModel.GetBlobShape ( int  idx )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    {
        if (idx < 0)
        {
            return null;
        }
        return GetBlobShape((uint)idx);
    }

GetEnvironment()

Ailia.AILIAEnvironment AiliaModel.GetEnvironment ( int  idx )

inline

Obtains the computing environment for the specified index.

Parameters

idx	Index of Environmental Information (0~ ailiaGetEnvironmentCount() -1)

Returns

Returns the available environment on success or null on failure.

Obtains detailed information about the specified computing environment.

    {
        IntPtr env_ptr = IntPtr.Zero;
        int status = Status = Ailia.ailiaGetEnvironment(ref env_ptr, (uint)idx, Ailia.AILIA_ENVIRONMENT_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetEnvironment failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        Ailia.AILIAEnvironment env = (Ailia.AILIAEnvironment)Marshal.PtrToStructure(env_ptr, typeof(Ailia.AILIAEnvironment));
        if (logging)
        {
            //Debug.Log("ENV id:"+env.id+", name:"+Marshal.PtrToStringAnsi(env.name)+", type:"+env.type);
        }
        return env;
    }

GetEnvironmentCount()

int AiliaModel.GetEnvironmentCount ( )

inline

Get the number of available computing environments (CPU, GPU).

環境選択（詳細）

Returns

Returns the number of available environments on success, -1 on failure.　

Get the number of available environments.

    {
        SetTemporaryCachePath();
        int count = 0;
        int status = Status = Ailia.ailiaGetEnvironmentCount(ref count);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetEnvironmentCount failed " + status + " (" + GetStatusString(status) + ")");
            }
            return -1;
        }
        return count;
    }

GetErrorDetail()

string AiliaModel.GetErrorDetail ( )

inline

Returns error details.

Returns

Returns a string with error details on success. Returns the error details as a string.

    {
        return Marshal.PtrToStringAnsi(Ailia.ailiaGetErrorDetail(ailia));
    }

GetInputBlobList()

uint [] AiliaModel.GetInputBlobList ( )

inline

Obtains a list of the indices of the input data (Blob).

Returns

Returns a list of input data (Blob) on success or null on failure. Ailia.ailiaGetInputBlobCount() to get the number of input data (Blob) as count Ailia.ailiaGetBlobIndexByInputIndex() to get the index of the Blob as idx and create a list.

    {
        if (ailia == IntPtr.Zero)
        {
            return null;
        }

        uint count = 0;
        int status = Status = Ailia.ailiaGetInputBlobCount(ailia, ref count);
        if (status != Ailia.AILIA_STATUS_SUCCESS || count == 0)
        {
            return null;
        }

        uint[] r = new uint[count];
        for (uint i = 0; i < count; i++)
        {
            uint idx = 0;
            status = Status = Ailia.ailiaGetBlobIndexByInputIndex(ailia, ref idx, i);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                break;
            }
            r[i] = idx;
        }

        return r;
    }

GetInputShape()

Ailia.AILIAShape AiliaModel.GetInputShape ( )

inline

    {
        Ailia.AILIAShape shape = new Ailia.AILIAShape();
        int status = Status = Ailia.ailiaGetInputShape(ailia, shape, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetInputShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetInputShapeND()

uint [] AiliaModel.GetInputShapeND ( )

inline

Obtains the shape of the input data at the time of inference.

Returns

If successful, an array containing the size of each dimension of the input data is returned. shape Otherwise, null is returned. AILIA.ailiaGetInputDim() is used to obtain the dimension of the input data during inference. AILIA.ailiaGetInputShapeND() is used to obtain the shape of the input data at the time of inference. If the shape has more than 5 dimensions, use GetInputShapeND(). If a part of the shape is not yet determined, the value of the corresponding dimension is set to 0, and valid values for the other dimensions are stored in shape. In case of failure, a corresponding error message will be displayed.

    {
        uint dim = 0;
        int status = Status = Ailia.ailiaGetInputDim(ailia, ref dim);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetInputDim failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        uint[] shape = new uint[dim];
        status = Status = Ailia.ailiaGetInputShapeND(ailia, shape, dim);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetInputShapeND failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetOutputBlobList()

uint [] AiliaModel.GetOutputBlobList ( )

inline

Obtains a list of indices of the output data (Blob).

Returns

Returns a list of input data (Blob) on success or null on failure. Ailia.ailiaGetInputBlobCount() to get the number of output data (Blob) as count. Ailia.ailiaGetBlobIndexByInputIndex() to get the index of the Blob as idx and create a list.

    {
        if (ailia == IntPtr.Zero)
        {
            return null;
        }

        uint count = 0;
        int status = Status = Ailia.ailiaGetOutputBlobCount(ailia, ref count);
        if (status != Ailia.AILIA_STATUS_SUCCESS || count == 0)
        {
            return null;
        }

        uint[] r = new uint[count];
        for (uint i = 0; i < count; i++)
        {
            uint idx = 0;
            status = Status = Ailia.ailiaGetBlobIndexByOutputIndex(ailia, ref idx, i);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                break;
            }
            r[i] = idx;
        }
        return r;
    }

GetOutputShape()

Ailia.AILIAShape AiliaModel.GetOutputShape ( )

inline

Obtains the shape of the output data during inference.

Returns

Return shape on success, null otherwise.

Ailia.ailiaGetOutputShape() to get the shape of the output data during inference. If the shape has more than 5 dimensions, use GetOutputShapeND().

    {
        if (ailia == IntPtr.Zero)
        {
            return null;
        }
        Ailia.AILIAShape shape = new Ailia.AILIAShape();
        int status = Status = Ailia.ailiaGetOutputShape(ailia, shape, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetOutputShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetOutputShapeND()

uint [] AiliaModel.GetOutputShapeND ( )

inline

Obtains the shape of the output data during inference.

Returns

Ifsccessful, return shape, otheerwise null.

Get the dimension of the output data during inference with ailiaGetOutputDim(). Ailia.ailiaGetOutputShapeND() to get the shape of the output data during inference.

    {
        uint dim = 0;
        int status = Status = Ailia.ailiaGetOutputDim(ailia, ref dim);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetOutputDim failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        uint[] shape = new uint[dim];
        status = Status = Ailia.ailiaGetOutputShapeND(ailia, shape, dim);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetOutputShapeND failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return shape;
    }

GetSelectedEnvironment()

Ailia.AILIAEnvironment AiliaModel.GetSelectedEnvironment ( )

inline

Retrieves the selected computing environment.

Returns

Returns computed environment information on success or null on failure.

Retrieves detailed information about the selected calculation environment.

    {
        IntPtr env_ptr = IntPtr.Zero;
        int status = Status = Ailia.ailiaGetSelectedEnvironment(ailia, ref env_ptr, Ailia.AILIA_ENVIRONMENT_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetSelectedEnvironment failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        Ailia.AILIAEnvironment env = (Ailia.AILIAEnvironment)Marshal.PtrToStructure(env_ptr, typeof(Ailia.AILIAEnvironment));
        return env;
    }

GetStatusString()

string AiliaModel.GetStatusString ( int  status )

inline

Returns a string corresponding to the status code.

• Parameters

  status

  Status code

  Returns

  Returns a string with error details on success. Returns the error details corresponding to the status code as a string.

    {
        return Marshal.PtrToStringAnsi(Ailia.ailiaGetStatusString(status));
    }

GetSummary()

string AiliaModel.GetSummary ( )

inline

Obtain network information and profile results.

Returns

Returns an ASCII string displaying the network information and profile results on success, or null on failure. Obtains a string containing network information and profile results.

    {
        uint buffer_size = 0;
        int status = Status = Ailia.ailiaGetSummaryLength(ailia, ref buffer_size);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaGetSummaryLength failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        byte[] buffer = new byte[buffer_size];
        status = Status = Ailia.ailiaSummary(ailia, buffer, buffer_size);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSummary failed " + status + " (" + GetStatusString(status) + ")");
            }
            return null;
        }
        return System.Text.Encoding.ASCII.GetString(buffer);
    }

OpenEx()

virtual bool AiliaModel.OpenEx ( Ailia.ailiaFileCallback  callback, IntPtr  arg1, IntPtr  arg2  )

inlinevirtual

Creates a network object from a file callback.

Parameters

callback	User-defined file access callback function structure
arg1	Argument pointer notified to AILIA_USER_API_FOPEN
arg2	Argument pointer notified to AILIA_USER_API_FOPEN

Returns

If this function is successful, it returns true , or false otherwise. 　Creates a network object from a file callback.

Reimplemented in AiliaDetectorModel, AiliaFeatureExtractorModel, AiliaClassifierModel, and AiliaPoseEstimatorModel.

    {
        Close();

        int status = Status = Ailia.ailiaCreate(ref ailia, env_id, Ailia.AILIA_MULTITHREAD_AUTO);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            DisplayLicenseError(status);
            if (logging)
            {
                Debug.Log("ailiaCreate failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }

        if (memory_mode != Ailia.AILIA_MEMORY_OPTIMAIZE_DEFAULT)
        {
            status = Status = Ailia.ailiaSetMemoryMode(ailia, memory_mode);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaSetMemoryMode failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }
        if (disalbe_layer_fusion)
        {
            status = Status = Ailia.ailiaDisableLayerFusion(ailia);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaDisableLayerFusion failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        if (arg1 != null)
        {
            status = Status = Ailia.ailiaOpenStreamEx(ailia, arg1, callback, Ailia.AILIA_FILE_CALLBACK_VERSION);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaOpenStreamFileEx failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        status = Status = Ailia.ailiaOpenWeightEx(ailia, arg2, callback, Ailia.AILIA_FILE_CALLBACK_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaOpenWeightFileEx failed " + status + " (" + GetStatusString(status) + ")");
            }
            Close();
            return false;
        }

        return true;
    }

OpenFile()

virtual bool AiliaModel.OpenFile ( string  prototxt_path, string  model_path  )

inlinevirtual

Create a network object from a model file.

Parameters

prototxt_path	Pathname of the prototxt file(MBSC or UTF16)
model_path	Path name of protobuf/onnx file(MBSC or UTF16)

Returns

If this function is successful, it returns true , or false otherwise. Create a network object from a model file.

Reimplemented in AiliaDetectorModel, AiliaFeatureExtractorModel, AiliaClassifierModel, and AiliaPoseEstimatorModel.

    {
        Close();

        int status = Status = Ailia.ailiaCreate(ref ailia, env_id, Ailia.AILIA_MULTITHREAD_AUTO);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            DisplayLicenseError(status);
            if (logging)
            {
                Debug.Log("ailiaCreate failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }

        if (memory_mode != Ailia.AILIA_MEMORY_OPTIMAIZE_DEFAULT)
        {
            status = Status = Ailia.ailiaSetMemoryMode(ailia, memory_mode);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaSetMemoryMode failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }
        if (disalbe_layer_fusion)
        {
            status = Status = Ailia.ailiaDisableLayerFusion(ailia);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaDisableLayerFusion failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        if (prototxt_path != null)
        {
            status = Status = Ailia.ailiaOpenStreamFile(ailia, prototxt_path);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaOpenStreamFile failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        status = Status = Ailia.ailiaOpenWeightFile(ailia, model_path);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaOpenWeightFile failed " + status + " (" + GetStatusString(status) + ")");
            }
            Close();
            return false;
        }

        return true;
    }

OpenMem()

virtual bool AiliaModel.OpenMem ( byte []  prototxt_buf, byte []  model_buf  )

inlinevirtual

Creates network objects from memory.

Parameters

prototxt_buf	Pointer to data in 　prototxt　 file
model_buf	Pointer to data in protobuf/onnx file

Returns

If this function is successful, it returns true , or false otherwise. Creates network objects from memory.

Reimplemented in AiliaDetectorModel, AiliaFeatureExtractorModel, AiliaClassifierModel, and AiliaPoseEstimatorModel.

    {
        Close();

        if (model_buf == null || model_buf.Length == 0 || (prototxt_buf != null && prototxt_buf.Length == 0))
        {
            if (logging)
            {
                Debug.Log("input buffer is empty");
            }
            return false;
        }

        int status = Status = Ailia.ailiaCreate(ref ailia, env_id, Ailia.AILIA_MULTITHREAD_AUTO);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            DisplayLicenseError(status);
            if (logging)
            {
                Debug.Log("ailiaCreate failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }

        if (memory_mode != Ailia.AILIA_MEMORY_OPTIMAIZE_DEFAULT)
        {
            status = Status = Ailia.ailiaSetMemoryMode(ailia, memory_mode);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaSetMemoryMode failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }
        if (disalbe_layer_fusion)
        {
            status = Status = Ailia.ailiaDisableLayerFusion(ailia);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaDisableLayerFusion failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        if (prototxt_buf != null)
        {
            status = Status = Ailia.ailiaOpenStreamMem(ailia, prototxt_buf, (uint)prototxt_buf.Length);
            if (status != Ailia.AILIA_STATUS_SUCCESS)
            {
                if (logging)
                {
                    Debug.Log("ailiaOpenStreamMem failed " + status + " (" + GetStatusString(status) + ")");
                }
                Close();
                return false;
            }
        }

        status = Status = Ailia.ailiaOpenWeightMem(ailia, model_buf, (uint)model_buf.Length);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaOpenWeightMem filed " + status + " (" + GetStatusString(status) + ")");
            }
            Close();
            return false;
        }

        return true;
    }

Predict()

bool AiliaModel.Predict ( float []  output_data, float []  input_data  )

inline

Perform inference and obtain inference results.

Parameters

output_data	Output data export destination
input_data	Inference data

Returns

If this function is successful, it returns true , or false otherwise. Ailia.ailiaPredict() is used to infer with input_data as input and output to output_data. This API is available for 1-input, 1-output models. To infer a multi-input/output model, use the SetInputBlobData, Update, and GetBlobData APIs.

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        //バッファの固定
        GCHandle input_buf_handle = GCHandle.Alloc(input_data, GCHandleType.Pinned);
        IntPtr input_buf_ptr = input_buf_handle.AddrOfPinnedObject();

        GCHandle output_buf_handle = GCHandle.Alloc(output_data, GCHandleType.Pinned);
        IntPtr output_buf_ptr = output_buf_handle.AddrOfPinnedObject();

        //推論
        int status = Status = Ailia.ailiaPredict(ailia, output_buf_ptr, (uint)(output_data.Length * 4), input_buf_ptr, (uint)(input_data.Length * 4));

        //バッファの開放
        input_buf_handle.Free();
        output_buf_handle.Free();

        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaPredict failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SelectEnvironment()

bool AiliaModel.SelectEnvironment ( int  idx )

inline

Select the calculation environment.

Parameters

idx	Index of Environmental Information (0~ ailiaGetEnvironmentCount() -1)

Returns

Returns true on success, false on failure.

Selects the computing environment for the specified index as the inference environment.

    {
        Ailia.AILIAEnvironment env = GetEnvironment(idx);
        if (env == null)
        {
            return false;
        }
        env_id = env.id;
        env_name = Marshal.PtrToStringAnsi(env.name);
        return true;
    }

SetInputBlobData() [1/2]

bool AiliaModel.SetInputBlobData ( float []  input_data, uint  idx  )

inline

Set input data to the specified Blob.

Parameters

input_data	Inference data X,Y,Z,W, in that order, stored as numeric type Size is inputSize of net file (I'm not sure if this is strictly the same as ailia.cs description, since buffer is allocated)
idx	Index of Blob to change settings

Returns

Returns true on success, false on failure.

Ailia.ailiaSetInPutBlobData() gives the input data to the specified Blob.

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        GCHandle input_buf_handle = GCHandle.Alloc(input_data, GCHandleType.Pinned);
        IntPtr input_buf_ptr = input_buf_handle.AddrOfPinnedObject();
        int status = Status = Ailia.ailiaSetInputBlobData(ailia, input_buf_ptr, (uint)(input_data.Length * 4), idx);
        input_buf_handle.Free();

        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetInputBlobData failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SetInputBlobData() [2/2]

public bool AiliaModel.SetInputBlobData ( float []  input_data, int  idx  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    {
        if (ailia == IntPtr.Zero || idx < 0)
        {
            return false;
        }
        return SetInputBlobData(input_data, (uint)idx);
    }

SetInputBlobShape() [1/2]

bool AiliaModel.SetInputBlobShape ( Ailia.AILIAShape  shape, uint  idx  )

inline

Sets the format of the specified input data (Blob). (4 dimensions or less)

Parameters

shape	Shape information of input data
idx	Index of Blob to be changed

Returns

Returns true on success, false on failure. Used to change the input shape of a network with multiple inputs, for example. Changes the format of the input data (Blob) specified in Ailia.ailiaSetInputBlobShape(). If the input shape has a rank of 5 or more dimensions, use SetInputShapeND().

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        int status = Status = Ailia.ailiaSetInputBlobShape(ailia, shape, idx, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetInputBlobShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SetInputBlobShape() [2/2]

public bool AiliaModel.SetInputBlobShape ( Ailia.AILIAShape  shape, int  idx  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    {
        if (idx < 0)
        {
            return false;
        }
        return SetInputBlobShape(shape, (uint)idx);
    }

SetInputBlobShapeND() [1/2]

bool AiliaModel.SetInputBlobShapeND ( uint []  shape, uint  dim, uint  idx  )

inline

Sets the format of the input data (Blob). (5D or more)

Parameters

shape	Shape information of input data
dim	Dimensions of shape
idx	Index of Blob to be changed

Returns

Returns true on success, false on failure. Used to change the input shape of a network with multiple inputs, for example. Changes the format of the input data (Blob) specified in Ailia.ailiaSetInputBlobShapeND().

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        int status = Status = Ailia.ailiaSetInputBlobShapeND(ailia, shape, dim, idx);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetInputBlobShapeND failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SetInputBlobShapeND() [2/2]

public bool AiliaModel.SetInputBlobShapeND ( uint []  shape, int  dim, int  idx  )

inline

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

    {
        if (idx < 0 || dim < 0)
        {
            return false;
        }
        return SetInputBlobShapeND(shape, (uint)dim, (uint)idx);
    }

SetInputShape()

bool AiliaModel.SetInputShape ( Ailia.AILIAShape  shape )

inline

Sets the shape of the input data during inference.

Parameters

shape

Shape information of input data

Returns

If this function is successful, it returns true , or false otherwise. Changes the input geometry defined in prototxt. It should be the same as the rank described in prototxt. Note that an error may be returned if the shape of the weight coefficients depends on the input geometry, for example. If the rank defined in prototxt is 5 or more dimensions, use SetInputShapeND().

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }

        int status = Status = Ailia.ailiaSetInputShape(ailia, shape, Ailia.AILIA_SHAPE_VERSION);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetInputShape failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SetInputShapeND()

bool AiliaModel.SetInputShapeND ( uint []  shape, int  dim  )

inline

Change the shape of the input data during inference.

Parameters

net	Network object pointer
shape	Array of sizes of each dimension of input data (dim-1, dim-2, ... ,1, 0)
dim	Dimensions of shape

Returns

If this function is successful, it returns true , or false otherwise.

Changes the input geometry defined in prototxt. It should be the same as the rank described in prototxt. Note that an error may be returned if the shape of the weight coefficients depends on the input geometry, for example.

    {
        if (ailia == IntPtr.Zero || dim < 0)
        {
            return false;
        }

        int status = Status = Ailia.ailiaSetInputShapeND(ailia, shape, (uint)dim);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetInputShapeND failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

SetMemoryMode()

void AiliaModel.SetMemoryMode ( uint  set_memory_mode )

inline

Sets the memory mode.

Parameters

set_memory_mode

Memory mode (multiple specifiable by logical. AILIA_MEMORY_XXX (default: AILIA_MEMORY_REDUCE_CONSTANT )

Returns

no return value

Changes the memory usage policy setting; if anything other than AILIA_MEMORY_NO_OPTIMIZATION is specified, the intermediate buffer allocated during inference is released, thus reducing the amount of memory used during inference.

    {
        memory_mode = set_memory_mode;
    }

SetProfileMode()

bool AiliaModel.SetProfileMode ( uint  profile_mode )

inline

Enable profile mode.

Returns

Returns true on success, false on failure. Enable profile mode. After enabling profile mode and inference, get profile results in Summary API.

    {
        int status = Status = Ailia.ailiaSetProfileMode(ailia, profile_mode);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaSetProfileMode failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

Update()

bool AiliaModel.Update ( )

inline

Inference is performed with pre-populated data.

Returns

Returns true on success, false on failure. This is used, for example, when SetInputBlobData() is used to provide input. Inference results should be obtained with GetBlobData().

    {
        if (ailia == IntPtr.Zero)
        {
            return false;
        }
        int status = Status = Ailia.ailiaUpdate(ailia);
        if (status != Ailia.AILIA_STATUS_SUCCESS)
        {
            if (logging)
            {
                Debug.Log("ailiaUpdate failed " + status + " (" + GetStatusString(status) + ")");
            }
            return false;
        }
        return true;
    }

Member Data Documentation

ailia

IntPtr AiliaModel.ailia = IntPtr.Zero

protected

logging

bool AiliaModel.logging = true

protected

Property Documentation

Status

int AiliaModel.Status

getprotected set

Status code Get the library status code.

{ get; protected set; }

---

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

• AiliaModel.cs