68 lines
2.3 KiB
Plaintext
68 lines
2.3 KiB
Plaintext
# 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=vehicle_detection_26082022.engine
|
|
labelfile-path=labels.txt
|
|
process-mode=1
|
|
## 0=FP32, 1=INT8, 2=FP16 mode
|
|
network-mode=2
|
|
num-detected-classes=6
|
|
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
|
|
maintain-aspect-ratio=1
|
|
parse-bbox-func-name=NvDsInferParseCustomYoloV5
|
|
#custom-lib-path=objectDetector_Yolo_V5/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
|
|
custom-lib-path=nvdsinfer_custom_impl_Yolo/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
|