| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182 | ################################################################################# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.## Permission is hereby granted, free of charge, to any person obtaining a# copy of this software and associated documentation files (the "Software"),# to deal in the Software without restriction, including without limitation# the rights to use, copy, modify, merge, publish, distribute, sublicense,# and/or sell copies of the Software, and to permit persons to whom the# Software is furnished to do so, subject to the following conditions:## The above copyright notice and this permission notice shall be included in# all copies or substantial portions of the Software.## THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER# DEALINGS IN THE SOFTWARE.################################################################################# 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=0net-scale-factor=0.0039215697906911373model-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodelproto-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.prototxt#model-engine-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp32.enginelabelfile-path=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/labels.txtint8-calib-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/cal_trt.binforce-implicit-batch-dim=1batch-size=1network-mode=1process-mode=1model-color-format=0num-detected-classes=4interval=0gie-unique-id=1output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid[class-attrs-all]pre-cluster-threshold=0.2eps=0.2group-threshold=1
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