################################################################################ # SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: MIT # # 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 # # 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 #0=RGB, 1=BGR model-color-format=0 onnx-file=yolov7.onnx labelfile-path=labels.txt ## 0=FP32, 1=INT8, 2=FP16 mode #OLD-network-mode=2 network-mode=0 num-detected-classes=80 gie-unique-id=1 network-type=0 is-classifier=0 ## 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering) cluster-mode=2 maintain-aspect-ratio=1 symmetric-padding=1 ## Bilinear Interpolation scaling-filter=1 #parse-bbox-func-name=NvDsInferParseCustomYoloV7 #parse-bbox-func-name=NvDsInferParseCustomYoloV7_cuda #disable-output-host-copy=0 #disable-output-host-copy=1 #custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so #scaling-compute-hw=0 ## start from DS6.2 crop-objects-to-roi-boundary=1 [class-attrs-all] #nms-iou-threshold=0.3 #threshold=0.7 nms-iou-threshold=0.65 pre-cluster-threshold=0.25 topk=300