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NvDsSampleModelsExt
---------------------
Components for using the sample models provided as part of DeepStreamSDK.

* UUID: 909dc1ea-c654-44c1-97a3-0b8fec12141a
* Version: 1.0.0
* Author: NVIDIA
* License: Proprietary

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

nvidia::deepstream::NvDsResnet10_4ClassDetectorModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

4-class primary model detecting vehicles, persons, bicycles and roadsigns. Contains the ``caffemodel`` and ``prototxt``, labels file, INT8 calibration file and the ``nvinfer`` configuration file for the model.

* Component ID: c2bed4f0-b9dd-43ab-b693-e0cbdd4f96e8
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**cluster-mode**

Object clustering mode to use.

Valid values:

  1: DBSCAN

  2: NMS

  3: DBSCAN + NMS (Hybrid)

  4: No clustering

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 2

|

**dbscan-min-score**

Minimum sum of confidence of all the neighbors in a cluster for it to be considered a valid cluster.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.0

|

**detected-max-h**

Maximum height in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**detected-max-w**

Maximum width in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**detected-min-h**

Minimum height in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**detected-min-w**

Minimum width in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**eps**

Epsilon values for DBSCAN clustering algorithm

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.7

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**input-object-max-height**

When used in secondary mode only on objects with this maximum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-max-width**

When used in secondary mode only on objects with this maximum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-min-height**

When used in secondary mode only on objects with this minimum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**input-object-min-width**

When used in secondary mode only on objects with this minimum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**min-boxes**

Minimum number of points required to form a dense region for DBSCAN algorithm

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 3

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**nms-iou-threshold**

Maximum IOU score between two proposals after which the proposal with the lower confidence will be rejected.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.5

|

**post-cluster-threshold**

Detection threshold to be applied post clustering operation for all classes

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.0

|

**pre-cluster-threshold**

Detection threshold to be applied prior to clustering operation for all classes

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.4

|

**roi-bottom-offset**

Offset of the RoI from the bottom of the frame. Only objects within the RoI are output.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**roi-top-offset**

Offset of the RoI from the top of the frame. Only objects within the RoI are output.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-compute-hw**

Compute hardware to use for scaling frames / object crops to network resolution.

Valid values:

  0: Platform default - GPU (dGPU), VIC (Jetson)

  1: GPU

  2: VIC (Jetson only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-filter**

The filter to use for scaling frames / object crops to network resolution.

Valid values:

  0: Nearest

  1: Bilinear

  2: Cubic(GPU)/5-Tap(VIC)

  3: Super(GPU)/10-Tap(VIC)

  4: Lanzos(GPU)/Smart(VIC)

  5: Nicest(VIC only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**topK**

Keep only top K objects with highest detection scores.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 20

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

nvidia::deepstream::NvDsSecondaryCarColorClassifierModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Secondary car color classification model. Contains the ``caffemodel`` and ``prototxt``, labels file, INT8 calibration file, the mean ppm file and the ``nvinfer`` configuration file for the model.

* Component ID: f7a64e00-f01f-4eaf-8c94-d686c28b9e48
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**classifier-async-mode**

Enables inference on detected objects and asynchronous metadata attachments.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: True

|

**classifier-threshold**

Minimum threshold label probability. The classifier outputs the label having the highest probability if it is greater than this threshold

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.51

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**input-object-max-height**

When used in secondary mode only on objects with this maximum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-max-width**

When used in secondary mode only on objects with this maximum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-min-height**

When used in secondary mode only on objects with this minimum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**input-object-min-width**

When used in secondary mode only on objects with this minimum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**scaling-compute-hw**

Compute hardware to use for scaling frames / object crops to network resolution.

Valid values:

  0: Platform default - GPU (dGPU), VIC (Jetson)

  1: GPU

  2: VIC (Jetson only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-filter**

The filter to use for scaling frames / object crops to network resolution.

Valid values:

  0: Nearest

  1: Bilinear

  2: Cubic(GPU)/5-Tap(VIC)

  3: Super(GPU)/10-Tap(VIC)

  4: Lanzos(GPU)/Smart(VIC)

  5: Nicest(VIC only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

nvidia::deepstream::NvDsSecondaryCarMakeClassifierModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Secondary car make classification model.  Contains the ``caffemodel`` and ``prototxt``, labels file, INT8 calibration file, the mean ppm file and the ``nvinfer`` configuration file for the model.

* Component ID: f10b9a8c-d8d4-4ed8-ad54-8d8dca2392b9
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**classifier-async-mode**

Enables inference on detected objects and asynchronous metadata attachments.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: True

|

**classifier-threshold**

Minimum threshold label probability. The classifier outputs the label having the highest probability if it is greater than this threshold

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.51

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**input-object-max-height**

When used in secondary mode only on objects with this maximum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-max-width**

When used in secondary mode only on objects with this maximum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-min-height**

When used in secondary mode only on objects with this minimum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**input-object-min-width**

When used in secondary mode only on objects with this minimum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**scaling-compute-hw**

Compute hardware to use for scaling frames / object crops to network resolution.

Valid values:

  0: Platform default - GPU (dGPU), VIC (Jetson)

  1: GPU

  2: VIC (Jetson only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-filter**

The filter to use for scaling frames / object crops to network resolution.

Valid values:

  0: Nearest

  1: Bilinear

  2: Cubic(GPU)/5-Tap(VIC)

  3: Super(GPU)/10-Tap(VIC)

  4: Lanzos(GPU)/Smart(VIC)

  5: Nicest(VIC only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

nvidia::deepstream::NvDsSecondaryVehicleTypeClassifierModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Secondary vehicle type classification model. Contains the ``caffemodel`` and ``prototxt``, labels file, INT8 calibration file, the mean ppm file and the ``nvinfer`` configuration file for the model.

* Component ID: 47728594-4a13-4460-a906-32c3ae52a61a
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**classifier-async-mode**

Enables inference on detected objects and asynchronous metadata attachments.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: True

|

**classifier-threshold**

Minimum threshold label probability. The classifier outputs the label having the highest probability if it is greater than this threshold

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.51

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**input-object-max-height**

When used in secondary mode only on objects with this maximum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-max-width**

When used in secondary mode only on objects with this maximum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-min-height**

When used in secondary mode only on objects with this minimum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**input-object-min-width**

When used in secondary mode only on objects with this minimum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 128

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**scaling-compute-hw**

Compute hardware to use for scaling frames / object crops to network resolution.

Valid values:

  0: Platform default - GPU (dGPU), VIC (Jetson)

  1: GPU

  2: VIC (Jetson only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-filter**

The filter to use for scaling frames / object crops to network resolution.

Valid values:

  0: Nearest

  1: Bilinear

  2: Cubic(GPU)/5-Tap(VIC)

  3: Super(GPU)/10-Tap(VIC)

  4: Lanzos(GPU)/Smart(VIC)

  5: Nicest(VIC only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

nvidia::deepstream::NvDsSonyCAudioClassifierModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Audio classifier trained on the SONYC urban noise database. Contains the ``onnx`` file, labels file and the ``nvinfer`` configuration file for the model.

* Component ID: d8d8f07e-3502-4124-ac4f-15f521cf2fb9
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**classifier-threshold**

Minimum threshold label probability. The classifier outputs the label having the highest probability if it is greater than this threshold

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.0

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

nvidia::deepstream::NvDsCarDetector360dModel
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Car detector model for 360d use case.  Contains the ``caffemodel`` and ``prototxt``, labels file, INT8 calibration file and the ``nvinfer`` configuration file for the model.

* Component ID: 8e3defe9-faf4-4417-945f-4ceb3950ca20
* Base Type: nvidia::deepstream::INvDsInferModelConfigComponent

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

**cluster-mode**

Object clustering mode to use.

Valid values:

  1: DBSCAN

  2: NMS

  3: DBSCAN + NMS (Hybrid)

  4: No clustering

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**dbscan-min-score**

Minimum sum of confidence of all the neighbors in a cluster for it to be considered a valid cluster.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.0

|

**detected-max-h**

Maximum height in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1920

|

**detected-max-w**

Maximum width in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1920

|

**detected-min-h**

Minimum height in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**detected-min-w**

Minimum width in pixels of detected objects to be output by the detector

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**enable-dla**

Enable DLA for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_BOOL
* Default: False

|

**eps**

Epsilon values for DBSCAN clustering algorithm

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.9

|

**infer-dims**

Binding dimensions to set on the image input layer. Format - <dim1>;<dim2>;<dim3>...

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_STRING

|

**input-object-max-height**

When used in secondary mode only on objects with this maximum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-max-width**

When used in secondary mode only on objects with this maximum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64

|

**input-object-min-height**

When used in secondary mode only on objects with this minimum height

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**input-object-min-width**

When used in secondary mode only on objects with this minimum width

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**min-boxes**

Minimum number of points required to form a dense region for DBSCAN algorithm

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 3

|

**model-engine-file**

Path to the model engine file. Absolute or relative to the extension directory.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FILE

|

**network-mode**

Data format to be used by inference.

Valid values:

  0: FP32

  1: INT8

  2: FP16

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 1

|

**nms-iou-threshold**

Maximum IOU score between two proposals after which the proposal with the lower confidence will be rejected.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.5

|

**post-cluster-threshold**

Detection threshold to be applied post clustering operation for all classes

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.0

|

**pre-cluster-threshold**

Detection threshold to be applied prior to clustering operation for all classes

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_FLOAT64
* Default: 0.5

|

**roi-bottom-offset**

Offset of the RoI from the bottom of the frame. Only objects within the RoI are output.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**roi-top-offset**

Offset of the RoI from the top of the frame. Only objects within the RoI are output.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-compute-hw**

Compute hardware to use for scaling frames / object crops to network resolution.

Valid values:

  0: Platform default - GPU (dGPU), VIC (Jetson)

  1: GPU

  2: VIC (Jetson only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**scaling-filter**

The filter to use for scaling frames / object crops to network resolution.

Valid values:

  0: Nearest

  1: Bilinear

  2: Cubic(GPU)/5-Tap(VIC)

  3: Super(GPU)/10-Tap(VIC)

  4: Lanzos(GPU)/Smart(VIC)

  5: Nicest(VIC only)

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0

|

**tensor-meta-pool-size**

Size of the output tensor meta pool

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 6

|

**topK**

Keep only top K objects with highest detection scores.

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 20

|

**use-dla-core**

DLA Core to use for inferencing

* Flags: GXF_PARAMETER_FLAGS_OPTIONAL
* Type: GXF_PARAMETER_TYPE_UINT64
* Default: 0