################################################################################ # SPDX-FileCopyrightText: Copyright (c) 2020-2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ################################################################################ # 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=0.0039215697906911373 model-file=/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.etlt proto-file=/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.prototxt model-engine-file=/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.trt.int8.engine labelfile-path=/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/tao_model/labels.txt int8-calib-file=/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/calibration.bin force-implicit-batch-dim=1 batch-size=1 process-mode=1 model-color-format=0 network-mode=1 num-detected-classes=6 interval=0 gie-unique-id=1 output-blob-names=conv2d_bbox;conv2d_cov/Sigmoid ## 0=Group Rectangles, 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering) cluster-mode=1 [class-attrs-all] pre-cluster-threshold=0.2 eps=0.7 minBoxes=1 #Use the config params below for dbscan clustering mode [class-attrs-all] detected-min-w=4 detected-min-h=4 minBoxes=3 ## Per class configurations #[class-attrs-0] #pre-cluster-threshold=0.05 #eps=0.7 #dbscan-min-score=0.95 #[class-attrs-1] #pre-cluster-threshold=0.05 #eps=0.7 #dbscan-min-score=0.5 #[class-attrs-2] #pre-cluster-threshold=0.1 #eps=0.6 #dbscan-min-score=0.95 #[class-attrs-3] #pre-cluster-threshold=0.05 #eps=0.7 #dbscan-min-score=0.5