NVIDIA-GPU-Bootcamp-Training/ai/DeepStream/English/python/source_code/N4/dstest4_sgie3_config.txt

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# Following properties are mandatory when engine files are not specified:
#   int8-calib-file(Only in INT8)
#   Caffemodel mandatory properties: model-file, proto-file, output-blob-names
#   UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
#   ONNX: onnx-file
#
# Mandatory properties for detectors:
#   num-detected-classes
#
# Optional properties for detectors:
#   cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
#   custom-lib-path,
#   parse-bbox-func-name
#
# Mandatory properties for classifiers:
#   classifier-threshold, is-classifier
#
# Optional properties for classifiers:
#   classifier-async-mode(Secondary mode only, Default=false)
#
# Optional properties in secondary mode:
#   operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
#   input-object-min-width, input-object-min-height, input-object-max-width,
#   input-object-max-height
#
# Following properties are always recommended:
#   batch-size(Default=1)
#
# Other optional properties:
#   net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
#   model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
#   mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary),
#   custom-lib-path, network-mode(Default=0 i.e FP32)
#
# The values in the config file are overridden by values set through GObject
# properties.

[property]
gpu-id=0
net-scale-factor=1
model-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel
proto-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/resnet18.prototxt
#model-engine-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/resnet18.caffemodel_b16_gpu0_fp32.engine
mean-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/mean.ppm
labelfile-path=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/labels.txt
int8-calib-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Secondary_VehicleTypes/cal_trt.bin
force-implicit-batch-dim=1
batch-size=16
# 0=FP32 and 1=INT8 mode
network-mode=1
input-object-min-width=64
input-object-min-height=64
model-color-format=1
process-mode=2
gpu-id=0
gie-unique-id=4
operate-on-gie-id=1
operate-on-class-ids=0
is-classifier=1
output-blob-names=predictions/Softmax
classifier-async-mode=1
classifier-threshold=0.51
process-mode=2
#scaling-filter=0
#scaling-compute-hw=0