# Copyright (c) 2020 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: # enable-dbscan(Default=false), 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, gie-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=1.0 offsets=103.939;116.779;123.68 model-color-format=1 labelfile-path=./nvdsinfer_customparser_yolov3_tlt/yolo_labels.txt tlt-encoded-model=./models/yolov3/yolo_resnet18_8epoch_020.etlt tlt-model-key=nvidia_tlt uff-input-dims=3;544;960;0 uff-input-blob-name=Input batch-size=1 ## 0=FP32, 1=INT8, 2=FP16 mode network-mode=2 num-detected-classes=11 interval=0 gie-unique-id=1 is-classifier=0 #network-type=0 #no cluster cluster-mode=3 output-blob-names=BatchedNMS parse-bbox-func-name=NvDsInferParseCustomYOLOV3TLT custom-lib-path=./nvdsinfer_customparser_yolov3_tlt/libnvds_infercustomparser_yolov3_tlt.so [class-attrs-all] pre-cluster-threshold=0.3 roi-top-offset=0 roi-bottom-offset=0 detected-min-w=0 detected-min-h=0 detected-max-w=0 detected-max-h=0