蚕茧视频识别AI程序关键代码(不包含资源、模型、转换库)
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################################################################################
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# SPDX-FileCopyrightText: Copyright (c) 2019-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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################################################################################
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# Following properties are mandatory when engine files are not specified:
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# int8-calib-file(Only in INT8)
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# Caffemodel mandatory properties: model-file, proto-file, output-blob-names
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# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
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# ONNX: onnx-file
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#
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# Mandatory properties for detectors:
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# num-detected-classes
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#
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# Optional properties for detectors:
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# cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
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# custom-lib-path
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# parse-bbox-func-name
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#
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# Mandatory properties for classifiers:
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# classifier-threshold, is-classifier
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#
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# Optional properties for classifiers:
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# classifier-async-mode(Secondary mode only, Default=false)
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#
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# Optional properties in secondary mode:
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# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
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# input-object-min-width, input-object-min-height, input-object-max-width,
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# input-object-max-height
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#
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# Following properties are always recommended:
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# batch-size(Default=1)
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#
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# Other optional properties:
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# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
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# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
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# mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary),
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# custom-lib-path, network-mode(Default=0 i.e FP32)
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#
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# The values in the config file are overridden by values set through GObject
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# properties.
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[property]
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gpu-id=0
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net-scale-factor=0.00392156862745098
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onnx-file=../../models/best.pt.onnx
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model-engine-file=../../models/best.pt.onnx_b1_gpu0_fp16.engine
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labelfile-path=../../models/labels.txt
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batch-size=1
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process-mode=1
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model-color-format=0
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## 0=FP32, 1=INT8, 2=FP16 mode
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network-mode=2
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num-detected-classes=5
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interval=0
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gie-unique-id=1
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## 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
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cluster-mode=2
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custom-lib-path=../lib/libnvdsinfer_custom_impl_Yolo.so
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parse-bbox-func-name=NvDsInferParseYolo
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engine-create-func-name=NvDsInferYoloCudaEngineGet
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network-type=0
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maintain-aspect-ratio=1
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symmetric-padding=1
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[class-attrs-all]
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topk=20
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nms-iou-threshold=0.45
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pre-cluster-threshold=0.2
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