# Copyright (c) 2018 NVIDIA Corporation. All rights reserved. # # NVIDIA Corporation and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA Corporation is strictly prohibited. # 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 num-detected-classes=1 model-engine-file= model0401b.engine labelfile-path=labels_2.txt batch-size=1 model-color-format=0 network-mode=0 is-classifier=0 process-mode=2 cluster-mode=2 input-object-min-width=768 input-object-min-height=480 operate-on-gie-id=1 operate-on-class-ids=0 #parse-bbox-func-name=NvDsInferParseLPD custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so #scaling-filter=0 #scaling-compute-hw=0 [class-attrs-all] nms-iou-threshold=0.6 pre-cluster-threshold=0.4