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- # 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
- # custom-network-config=yolov3-tiny.cfg
- # model-file=yolov3-tiny.weights
- model-engine-file=../data/INT8/yolov5m.engine
- labelfile-path=labels.txt
- process-mode=1
- batch-size=12
- ## 0=FP32, 1=INT8, 2=FP16 mode
- network-mode=1
- num-detected-classes=80
- gie-unique-id=1
- network-type=0
- #is-classifier=0
- output-blob-names=prob
- ## 0=Group Rectangles, 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
- cluster-mode=2
- interval=0
- maintain-aspect-ratio=1
- parse-bbox-func-name=NvDsInferParseCustomYoloV5
- custom-lib-path=../lib/libnvdsinfer_custom_impl_Yolo.so
- engine-create-func-name=NvDsInferYoloCudaEngineGet
- #scaling-filter=0
- #scaling-compute-hw=0
- [class-attrs-all]
- nms-iou-threshold=0.5
- pre-cluster-threshold=0.4
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