NvDsSampleModelsExt
Components for using the sample models provided as part of DeepStreamSDK.
UUID: 909dc1ea-c654-44c1-97a3-0b8fec12141a
Version: 1.4.0
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