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NvCvTensorOpsExtension
------------------------
Generic CVCORE tensor_ops interfaces.

* UUID: 6eae64ff-97a9-4d9b-b324-f85e6a98a75a
* Version: 1.0.0
* Author: NVIDIA
* License: NVIDIA

Components
~~~~~~~~~~~~

nvidia::cvcore::tensor_ops::Resize
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for image resizing in tensor_ops.

* Component ID: a58141ac-7eca-4ea5-9b54-5446fe379a11
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**output_width**

Width of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**output_height**

Height of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**interp_type**

Interpolation type for resizing (nearest/linear/cubic_bspline/cubic_catmullrom).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**keep_aspect_ratio**

Whether to keep aspect ratio while resizing.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_BOOL

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from. (must be GPU pool).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

nvidia::cvcore::tensor_ops::CropAndResize
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for crop and resizing operation in tensor_ops.

* Component ID: 4a7ff422-de38-41bc-9e74-3ac10d9294b6
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**output_width**

Width of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**output_height**

Height of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**interp_type**

Interpolation type for resizing (nearest/linear/cubic_bspline/cubic_catmullrom).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**keep_aspect_ratio**

Whether to keep aspect ratio while resizing.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_BOOL

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**receiver_bbox**

Named receiver queue with the input bbox to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from. (Must be GPU pool.)

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

nvidia::cvcore::tensor_ops::Normalize
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for image normalization in tensor_ops.

* Component ID: 7018f0b9-034c-462b-a9fb-af7ee012974f
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**scales**

Scaling factors used for normalization (must be the same size of channel count).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_CUSTOM

|

**offsets**

Offset factors used for normalization.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_CUSTOM

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from (must be GPU pool).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

nvidia::cvcore::tensor_ops::InterleavedToPlanar
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for convert interleaved image to planar image in tensor_ops.

* Component ID: 269d4237-f3c3-479d-bcca-9ecc44c71a70
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**output_width**

Width of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**output_height**

Height of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_UINT64

|

**interp_type**

Interpolation type for resizing (nearest/linear/cubic_bspline/cubic_catmullrom).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**keep_aspect_ratio**

Whether to keep aspect ratio while resizing.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_BOOL

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from (must be GPU pool).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

nvidia::cvcore::tensor_ops::ConvertColorFormat
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for image color conversion in tensor_ops.

* Component ID: fc4d7b4d-8fcc-4daa-a286-056e0fcafa78
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**output_type**

Describes the output image type.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from (must be GPU pool).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

nvidia::cvcore::tensor_ops::Reshape
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Codelet for image reshape in tensor_ops.

* Component ID: 26789b7d-5a8d-4e84-86b8-45ec5f4cd12a
* Base Type: nvidia::gxf::Codelet

Parameters
++++++++++++

**input_type**

Describes the input image type expected at the receiver.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_STRING

|

**output_shape**

Output tensor shape (must have the same size as input Tensor).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_CUSTOM

|

**receiver**

Named receiver queue with the input to the pipeline.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Receiver

|

**transmitter**

Named transmitter to send the output to.

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Transmitter

|

**pool**

Named memory pool to allocate blocks from (must be GPU pool).

* Flags: GXF_PARAMETER_FLAGS_NONE
* Type: GXF_PARAMETER_TYPE_HANDLE
* Handle Type: gxf::Allocator

|

**output_name**

Name of the output tensor.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING