################################################################################ # Copyright (c) 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. ################################################################################ [property] gpu-id=0 net-scale-factor=0.0039215697906911373 tlt-model-key=tlt_encode tlt-encoded-model=/opt/nvidia/deepstream/deepstream-6.1/sources/apps/sample_apps/deepstream-app/models/person/resnet34_peoplenet_int8.etlt labelfile-path=/opt/nvidia/deepstream/deepstream-6.1/sources/apps/sample_apps/deepstream-app/models/person/labels.txt int8-calib-file=/opt/nvidia/deepstream/deepstream-6.1/sources/apps/sample_apps/deepstream-app/models/person/resnet34_peoplenet_int8.txt model-engine-file=/opt/nvidia/deepstream/deepstream-6.1/sources/apps/sample_apps/deepstream-app/models/person/resnet34_person_pruned.etlt_b20_gpu0_int8.engine input-dims=3;544;960;0 uff-input-blob-name=input_1 batch-size=20 process-mode=1 model-color-format=0 ## 0=FP32, 1=INT8, 2=FP16 mode network-mode=1 num-detected-classes=1 interval=0 gie-unique-id=1 output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid [class-attrs-all] pre-cluster-threshold=0.2 group-threshold=1 ## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN) eps=0.2 #minBoxes=3 detected-max-w=400 detected-max-h=800