GstTensorMeta

Members

meta (GstMeta) –

parent

num_tensors (gsize) –

number of tensors

tensors (GstTensor **) –
No description available

Since : 1.26

GstAnalytics.TensorMeta

Members

meta (Gst.Meta) –

parent

num_tensors (Number) –

number of tensors

tensors (GstAnalytics.Tensor) –
No description available

Since : 1.26

GstAnalytics.TensorMeta

Members

meta (Gst.Meta) –

parent

num_tensors (int) –

number of tensors

tensors (GstAnalytics.Tensor) –
No description available

Since : 1.26

Methods

gst_tensor_meta_get 

const GstTensor *
gst_tensor_meta_get (GstTensorMeta * tmeta,
                     gsize index)

Retrieves a tensor from the GstTensorMeta, the index must be smaller than num_tensors

Return: (transfer none): a GstTensor

Parameters:

tmeta –

A GstTensorMeta

index –

The number of the tensor to get

Returns –
No description available

Since : 1.26

GstAnalytics.TensorMeta.prototype.get 

function GstAnalytics.TensorMeta.prototype.get(index: Number): {
    // javascript wrapper for 'gst_tensor_meta_get'
}

Retrieves a tensor from the GstAnalytics.TensorMeta, the index must be smaller than num_tensors

Return: (transfer none): a GstTensor

Parameters:

A GstAnalytics.TensorMeta

index (Number) –

The number of the tensor to get

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.26

GstAnalytics.TensorMeta.get 

def GstAnalytics.TensorMeta.get (self, index):
    #python wrapper for 'gst_tensor_meta_get'

Retrieves a tensor from the GstAnalytics.TensorMeta, the index must be smaller than num_tensors

Return: (transfer none): a GstTensor

Parameters:

A GstAnalytics.TensorMeta

index (int) –

The number of the tensor to get

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.26

gst_tensor_meta_get_by_id 

const GstTensor *
gst_tensor_meta_get_by_id (GstTensorMeta * tmeta,
                           GQuark id)

Get the first tensor from the GstTensorMeta identified by id.

Return: (nullable)(transfer none): a GstTensor with id matching id. Otherwise NULL will be returned.

Parameters:

tmeta –

A GstTensorMeta

id –

A GQuark identifying tensor-encoding

Returns –
No description available

Since : 1.28

GstAnalytics.TensorMeta.prototype.get_by_id 

function GstAnalytics.TensorMeta.prototype.get_by_id(id: GLib.Quark): {
    // javascript wrapper for 'gst_tensor_meta_get_by_id'
}

Get the first tensor from the GstAnalytics.TensorMeta identified by id.

Return: (nullable)(transfer none): a GstTensor with id matching id. Otherwise NULL will be returned.

Parameters:

A GstAnalytics.TensorMeta

id (GLib.Quark) –

A GLib.Quark identifying tensor-encoding

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.28

GstAnalytics.TensorMeta.get_by_id 

def GstAnalytics.TensorMeta.get_by_id (self, id):
    #python wrapper for 'gst_tensor_meta_get_by_id'

Get the first tensor from the GstAnalytics.TensorMeta identified by id.

Return: (nullable)(transfer none): a GstTensor with id matching id. Otherwise NULL will be returned.

Parameters:

A GstAnalytics.TensorMeta

id (GLib.Quark) –

A GLib.Quark identifying tensor-encoding

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.28

gst_tensor_meta_get_index_from_id 

gint
gst_tensor_meta_get_index_from_id (GstTensorMeta * meta,
                                   GQuark id)

Finds the first tensor with the requsted ID in the meta

Return: The index of the tensor inthe meta, or -1 if its not found.

Parameters:

meta –

a GstTensorMeta

id –

The tensor id to look for

Returns –
No description available

Since : 1.26

GstAnalytics.TensorMeta.prototype.get_index_from_id 

function GstAnalytics.TensorMeta.prototype.get_index_from_id(id: GLib.Quark): {
    // javascript wrapper for 'gst_tensor_meta_get_index_from_id'
}

Finds the first tensor with the requsted ID in the meta

Return: The index of the tensor inthe meta, or -1 if its not found.

Parameters:

a GstAnalytics.TensorMeta

id (GLib.Quark) –

The tensor id to look for

Returns (Number) –
No description available

Since : 1.26

GstAnalytics.TensorMeta.get_index_from_id 

def GstAnalytics.TensorMeta.get_index_from_id (self, id):
    #python wrapper for 'gst_tensor_meta_get_index_from_id'

Finds the first tensor with the requsted ID in the meta

Return: The index of the tensor inthe meta, or -1 if its not found.

Parameters:

a GstAnalytics.TensorMeta

id (GLib.Quark) –

The tensor id to look for

Returns (int) –
No description available

Since : 1.26

gst_tensor_meta_get_typed_tensor 

const GstTensor *
gst_tensor_meta_get_typed_tensor (GstTensorMeta * tmeta,
                                  GQuark tensor_id,
                                  GstTensorDimOrder order,
                                  gsize num_dims,
                                  GstTensorDataType data_type,
                                  GstBuffer * data)

Get the first tensor from the GstTensorMeta identified by tensor_id, mathcing the reading order, dimensions and the data type. Validate whether the GstBuffer has enough size to hold the tensor data.

Return: (nullable)(transfer none): a GstTensor with id matching tensor_id, reading order from the memory matching order, dimensions matching num_dims, data type matching data_type. The GstBuffer mathcing data should have enough size to hold the tensor data. Otherwise NULL will be returned.

Parameters:

tmeta –

A GstTensorMeta

tensor_id –

A GQuark identifying the tensor-encoding

order –

The order of the tensor to read from the memory

num_dims –

The number of dimensions that the tensor can have

data_type –

The data type of the tensor

data ( [transfer: full]) –

GstBuffer holding tensor data

Returns –
No description available

Since : 1.28

GstAnalytics.TensorMeta.prototype.get_typed_tensor 

function GstAnalytics.TensorMeta.prototype.get_typed_tensor(tensor_id: GLib.Quark, order: GstAnalytics.TensorDimOrder, num_dims: Number, data_type: GstAnalytics.TensorDataType, data: Gst.Buffer): {
    // javascript wrapper for 'gst_tensor_meta_get_typed_tensor'
}

Get the first tensor from the GstAnalytics.TensorMeta identified by tensor_id, mathcing the reading order, dimensions and the data type. Validate whether the Gst.Buffer has enough size to hold the tensor data.

Return: (nullable)(transfer none): a GstTensor with id matching tensor_id, reading order from the memory matching order, dimensions matching num_dims, data type matching data_type. The Gst.Buffer mathcing data should have enough size to hold the tensor data. Otherwise NULL will be returned.

Parameters:

A GstAnalytics.TensorMeta

tensor_id (GLib.Quark) –

A GLib.Quark identifying the tensor-encoding

The order of the tensor to read from the memory

num_dims (Number) –

The number of dimensions that the tensor can have

data_type (GstAnalytics.TensorDataType) –

The data type of the tensor

data (Gst.Buffer) –

Gst.Buffer holding tensor data

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.28

GstAnalytics.TensorMeta.get_typed_tensor 

def GstAnalytics.TensorMeta.get_typed_tensor (self, tensor_id, order, num_dims, data_type, data):
    #python wrapper for 'gst_tensor_meta_get_typed_tensor'

Get the first tensor from the GstAnalytics.TensorMeta identified by tensor_id, mathcing the reading order, dimensions and the data type. Validate whether the Gst.Buffer has enough size to hold the tensor data.

Return: (nullable)(transfer none): a GstTensor with id matching tensor_id, reading order from the memory matching order, dimensions matching num_dims, data type matching data_type. The Gst.Buffer mathcing data should have enough size to hold the tensor data. Otherwise NULL will be returned.

Parameters:

A GstAnalytics.TensorMeta

tensor_id (GLib.Quark) –

A GLib.Quark identifying the tensor-encoding

The order of the tensor to read from the memory

num_dims (int) –

The number of dimensions that the tensor can have

data_type (GstAnalytics.TensorDataType) –

The data type of the tensor

data (Gst.Buffer) –

Gst.Buffer holding tensor data

Returns (GstAnalytics.Tensor) –
No description available

Since : 1.28

gst_tensor_meta_set 

gst_tensor_meta_set (GstTensorMeta * tmeta,
                     guint num_tensors,
                     GstTensor ** tensors)

Sets tensors into the GstTensorMeta

Parameters:

tmeta –

a GstTensorMeta

num_tensors –

The number of tensors in the tensors array

tensors ( [in][arraylength=num_tensors][transfer: full]) –

An array of poiners to GstTensor

Since : 1.26

GstAnalytics.TensorMeta.prototype.set 

function GstAnalytics.TensorMeta.prototype.set(num_tensors: Number, tensors: [ GstAnalytics.Tensor ]): {
    // javascript wrapper for 'gst_tensor_meta_set'
}

Sets tensors into the GstAnalytics.TensorMeta

Parameters:

a GstAnalytics.TensorMeta

num_tensors (Number) –

The number of tensors in the tensors array

tensors ([ GstAnalytics.Tensor ]) –

An array of poiners to GstAnalytics.Tensor

Since : 1.26

GstAnalytics.TensorMeta.set 

def GstAnalytics.TensorMeta.set (self, num_tensors, tensors):
    #python wrapper for 'gst_tensor_meta_set'

Sets tensors into the GstAnalytics.TensorMeta

Parameters:

a GstAnalytics.TensorMeta

num_tensors (int) –

The number of tensors in the tensors array

tensors ([ GstAnalytics.Tensor ]) –

An array of poiners to GstAnalytics.Tensor

Since : 1.26

Functions

gst_tensor_meta_get_info 

const GstMetaInfo *
gst_tensor_meta_get_info ()
Returns –
No description available

Since : 1.26

Functions

gst_buffer_add_tensor_meta 

GstTensorMeta *
gst_buffer_add_tensor_meta (GstBuffer * buffer)

Adds a GstTensorMeta to a buffer or returns the existing one

Parameters:

buffer –

A writable GstBuffer

Returns ( [transfer: none]) –

The new GstTensorMeta

Since : 1.26

GstAnalytics.prototype.buffer_add_tensor_meta 

function GstAnalytics.prototype.buffer_add_tensor_meta(buffer: Gst.Buffer): {
    // javascript wrapper for 'gst_buffer_add_tensor_meta'
}

Adds a GstAnalytics.TensorMeta to a buffer or returns the existing one

Parameters:

buffer (Gst.Buffer) –

A writable Gst.Buffer

Returns (GstAnalytics.TensorMeta) –

The new GstAnalytics.TensorMeta

Since : 1.26

GstAnalytics.buffer_add_tensor_meta 

def GstAnalytics.buffer_add_tensor_meta (buffer):
    #python wrapper for 'gst_buffer_add_tensor_meta'

Adds a GstAnalytics.TensorMeta to a buffer or returns the existing one

Parameters:

buffer (Gst.Buffer) –

A writable Gst.Buffer

Returns (GstAnalytics.TensorMeta) –

The new GstAnalytics.TensorMeta

Since : 1.26

gst_buffer_get_tensor_meta 

GstTensorMeta *
gst_buffer_get_tensor_meta (GstBuffer * buffer)

Gets the GstTensorMeta from a buffer

Parameters:

buffer –

A GstBuffer

Returns ( [nullable][transfer: none]) –

The GstTensorMeta if there is wone

Since : 1.26

GstAnalytics.prototype.buffer_get_tensor_meta 

function GstAnalytics.prototype.buffer_get_tensor_meta(buffer: Gst.Buffer): {
    // javascript wrapper for 'gst_buffer_get_tensor_meta'
}

Gets the GstAnalytics.TensorMeta from a buffer

Parameters:

buffer (Gst.Buffer) –

A Gst.Buffer

Returns (GstAnalytics.TensorMeta) –

The GstAnalytics.TensorMeta if there is wone

Since : 1.26

GstAnalytics.buffer_get_tensor_meta 

def GstAnalytics.buffer_get_tensor_meta (buffer):
    #python wrapper for 'gst_buffer_get_tensor_meta'

Gets the GstAnalytics.TensorMeta from a buffer

Parameters:

buffer (Gst.Buffer) –

A Gst.Buffer

Returns (GstAnalytics.TensorMeta) –

The GstAnalytics.TensorMeta if there is wone

Since : 1.26

gst_tensor_meta_api_get_type 

GType
gst_tensor_meta_api_get_type ()
Returns –
No description available

Since : 1.26

Constants

GST_TENSOR_META_API_TYPE 

#define GST_TENSOR_META_API_TYPE \
  (gst_tensor_meta_api_get_type())

The Tensor Meta API type

Since : 1.26

GST_TENSOR_META_INFO 

#define GST_TENSOR_META_INFO \
  (gst_tensor_meta_get_info())

The Tensor Meta API Info

Since : 1.26

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