################################################################################ # 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), model-file-format # 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, # custom-lib-path, # parse-bbox-func-name # # Optional properties for detectors: # cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0) # # 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=1 offsets=102.9801;115.9465;122.7717 #0=RGB, 1=BGR model-color-format=1 model-engine-file=VGG16_faster_rcnn_final.caffemodel_b1_gpu0_fp32.engine model-file=VGG16_faster_rcnn_final.caffemodel proto-file=faster_rcnn_test_iplugin.prototxt labelfile-path=labels.txt batch-size=1 ## 0=FP32, 1=INT8, 2=FP16 mode network-mode=0 num-detected-classes=21 interval=0 gie-unique-id=1 is-classifier=0 output-blob-names=bbox_pred;cls_prob;rois parse-bbox-func-name=NvDsInferParseCustomFasterRCNN custom-lib-path=nvdsinfer_custom_impl_fasterRCNN/libnvdsinfer_custom_impl_fasterRCNN.so force-implicit-batch-dim=1 #scaling-filter=0 #scaling-compute-hw=0 [class-attrs-all] threshold=0.2 eps=0.1 group-threshold=2 roi-top-offset=0 roi-bottom-offset=0 detected-min-w=0 detected-min-h=0 detected-max-w=0 detected-max-h=0 ## Per class configuration # Prevent background detection [class-attrs-0] threshold=1.1